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                        <ptext xml:space="preserve">
Pracoviště laboratorních metod, IKEM, Praha 4      Laboratorní nález      06.02.2024 13:25
******************************************************************************************
*  ID    : 010101998                        Oddělení : KKAM Klinika Kardiologie Ambulan  *
*  Jméno : Test 9 Pacient                              IKEM                              *
*  Dg.   : I259                                        Vídeňská 1958/9                   *
*  ZP    : 000                                         Praha 4                           *
*                                           Lékař    : Šochman Jan MUDr.                 *
******************************************************************************************
Datum odběru: 06.02.2024 13:19    Lab. číslo: 0206.HH-5379                            
------------------------------------------------------------------------------------------
Metoda                         Výsledek    Jednotka        Ref. meze          Hodnocení
------------------------------------------------------------------------------------------
___H E M A T O L O G I E__________________________________________________________________
___Krevní obraz___________________________________________________________________________
B_Leukocyty                    6,7         10^9/l          4      - 10       |   |*|   |   
B_Erytrocyty                   4,64        10^12/l         4      - 5,8      |   |*|   |   
B_Hemoglobin                   130         g/l             135    - 175      |  *| |   |   
B_Hematokrit                   0,395       l/l             0,4    - 0,5      |  *| |   |   
B_MCV                          85,1        fl              82     - 98       |   |*|   |   
B_MCH                          28,0        pg              28     - 34       |   |*|   |   
B_MCHC                         329         g/l             320    - 360      |   |*|   |   
B_RDW                          17,8        %               10     - 15,2     |   | |*  |   
B_Trombocyty                   250         10^9/l          150    - 400      |   |*|   |   
B_Trombocyt objem              10,7        fl              7,8    - 11       |   |*|   |   
B_Trombokrit                   2,70        ml/l            1,2    - 3,5      |   |*|   |   
B_Thr_Aniz_SD                  11,9        fl              9      - 17       |   |*|   |   
B_Thr velké&gt;12fl               31,40       %               15     - 35       |   |*|   |   
B_NRBC_abs. počet              0,00        10^9/l          0      - 0        |   |*|   |   
B_NRBC_rel. počet              0,0         %               0      - 0        |   |*|   |   
___Diferenciál na analyzátoru_____________________________________________________________
B_Neutrofily_abs               4,430       10^9/l          2      - 7        |   |*|   |   
B_Neutrofily                   66,0        %               45     - 70       |   |*|   |   
B_Lymfocyty_abs                1,500       10^9/l          0,8    - 4        |   |*|   |   
B_Lymfocyty                    22,4        %               20     - 45       |   |*|   |   
B_Monocyty_abs                 0,510       10^9/l          0,08   - 1,2      |   |*|   |   
B_Monocyty                     7,6         %               2      - 12       |   |*|   |   
B_Eosinofily_abs               0,230       10^9/l          0      - 0,5      |   |*|   |   
B_Eosinofily                   3,4         %               0      - 5        |   |*|   |   
B_Basofily_abs                 0,040       10^9/l          0      - 0,2      |   |*|   |   
B_Basofily                     0,6         %               0      - 2        |   |*|   |   
B_Nezr. granulocyty abs        0,02        10^9/l          0      - 0,03     |   |*|   |   
B_Nezr. granulocyty rel.       0,3         %               0      - 0,5      |   |*|   |
Kontroloval:
0206.HH-5379 Předběžně uvolnil: Bc. Vojtěch Samuel Valerián, Uvolnil: Bc. Vojtěch Samuel Valerián
</ptext>
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</ktext>
                    </text>
                    <ku_z_lab klic_nclp="13808" syst_klic="B" komp_klic="LKC" typ_cispol="N" typpol_fh="1" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Leukocyty</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="10^9/l" />
                            <hodnota>6.7</hodnota>
                            <jednotka>10^9/l</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>1.0</s1>
                                <s2>2.8</s2>
                                <s3>3.4</s3>
                                <s4>4.0</s4>
                                <s5>10.0</s5>
                                <s6>15.0</s6>
                                <s7>20.0</s7>
                                <s8>1000.0</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="01675" syst_klic="B" komp_klic="ERC" typ_cispol="N" typpol_fh="2" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Erytrocyty</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="10^12/l" />
                            <hodnota>4.64</hodnota>
                            <jednotka>10^12/l</jednotka>
                            <skala atribut="PV" s_hodn_o="0">
                                <s1>0.00</s1>
                                <s2>1.30</s2>
                                <s3>2.60</s3>
                                <s4>4.00</s4>
                                <s5>5.80</s5>
                                <s6>6.90</s6>
                                <s7>8.00</s7>
                                <s8>20.00</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="01991" syst_klic="B" komp_klic="HB" typ_cispol="N" typpol_fh="1" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Hemoglobin</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="g/l" />
                            <hodnota>130</hodnota>
                            <jednotka>g/l</jednotka>
                            <skala atribut="PV" s_hodn_o="-1">
                                <s1>0</s1>
                                <s2>45</s2>
                                <s3>90</s3>
                                <s4>135</s4>
                                <s5>175</s5>
                                <s6>190</s6>
                                <s7>215</s7>
                                <s8>300</s8>
                                <interpret_g_z> |  *| |   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="02099" syst_klic="B" komp_klic="HCT" typ_cispol="N" typpol_fh="2" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Hematokrit</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="1" />
                            <hodnota>0.395</hodnota>
                            <jednotka>1</jednotka>
                            <skala atribut="PV" s_hodn_o="-1">
                                <s1>0.000</s1>
                                <s2>0.130</s2>
                                <s3>0.260</s3>
                                <s4>0.400</s4>
                                <s5>0.500</s5>
                                <s6>0.580</s6>
                                <s7>0.650</s7>
                                <s8>1.000</s8>
                                <interpret_g_z> |  *| |   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="02419" syst_klic="ERC(B)" komp_klic="MCV" typ_cispol="N" typpol_fh="1" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_MCV</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="fl" />
                            <hodnota>85.1</hodnota>
                            <jednotka>fl</jednotka>
                            <skala atribut="PV" s_hodn_o="0">
                                <s1>10.0</s1>
                                <s2>65.0</s2>
                                <s3>73.0</s3>
                                <s4>82.0</s4>
                                <s5>98.0</s5>
                                <s6>109.0</s6>
                                <s7>120.0</s7>
                                <s8>200.0</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="03389" syst_klic="ERC(B)" komp_klic="MCH" typ_cispol="N" typpol_fh="1" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_MCH</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="pg" />
                            <hodnota>28.0</hodnota>
                            <jednotka>pg</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.0</s1>
                                <s2>22.0</s2>
                                <s3>25.0</s3>
                                <s4>28.0</s4>
                                <s5>34.0</s5>
                                <s6>37.0</s6>
                                <s7>40.0</s7>
                                <s8>50.0</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="03390" syst_klic="ERC(B)" komp_klic="MCHC" typ_cispol="N" typpol_fh="1" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_MCHC</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="g/l" />
                            <hodnota>329</hodnota>
                            <jednotka>g/l</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0</s1>
                                <s2>280</s2>
                                <s3>300</s3>
                                <s4>320</s4>
                                <s5>360</s5>
                                <s6>370</s6>
                                <s7>380</s7>
                                <s8>390</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="04769" syst_klic="ERC(B)" komp_klic="RDW" typ_cispol="N" typpol_fh="3" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_RDW</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="1" />
                            <prepocet hodnota_lok="17.8" prepfak="0.010000" jednotka_lclp="%" typpol_fh_lclp="1">
                                <skala_lok atribut="V" s_hodn_o="1">
                                    <s1>0.0</s1>
                                    <s2>8.0</s2>
                                    <s3>9.0</s3>
                                    <s4>10.0</s4>
                                    <s5>15.2</s5>
                                    <s6>18.6</s6>
                                    <s7>22.0</s7>
                                    <s8>100.0</s8>
                                    <interpret_g_z> |   | |*  | </interpret_g_z>
                                </skala_lok>
                            </prepocet>
                            <hodnota>0.178</hodnota>
                            <jednotka>1</jednotka>
                            <skala atribut="V" s_hodn_o="1">
                                <s1>0.000</s1>
                                <s2>0.080</s2>
                                <s3>0.090</s3>
                                <s4>0.100</s4>
                                <s5>0.152</s5>
                                <s6>0.186</s6>
                                <s7>0.220</s7>
                                <s8>1.000</s8>
                                <interpret_g_z> |   | |*  | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="02688" syst_klic="B" komp_klic="PLT" typ_cispol="N" typpol_fh="0" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Trombocyty</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="10^9/l" />
                            <hodnota>250</hodnota>
                            <jednotka>10^9/l</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>70</s1>
                                <s2>100</s2>
                                <s3>125</s3>
                                <s4>150</s4>
                                <s5>400</s5>
                                <s6>600</s6>
                                <s7>850</s7>
                                <s8>5000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="04726" syst_klic="PLT(B)" komp_klic="MPV" typ_cispol="N" typpol_fh="1" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Thr objem</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="fl" />
                            <hodnota>10.7</hodnota>
                            <jednotka>fl</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>3.0</s1>
                                <s2>4.6</s2>
                                <s3>6.2</s3>
                                <s4>7.8</s4>
                                <s5>11.0</s5>
                                <s6>12.5</s6>
                                <s7>14.0</s7>
                                <s8>20.0</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="12279" syst_klic="B" komp_klic="PCT" typ_cispol="N" typpol_fh="1" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Trombokrit</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="10^-3" />
                            <prepocet hodnota_lok="2.70" prepfak="1.000000" jednotka_lclp="ml/l" typpol_fh_lclp="2">
                                <skala_lok atribut="V" s_hodn_o="0">
                                    <s1>0.10</s1>
                                    <s2>0.60</s2>
                                    <s3>0.90</s3>
                                    <s4>1.20</s4>
                                    <s5>3.50</s5>
                                    <s6>5.00</s6>
                                    <s7>6.50</s7>
                                    <s8>8.00</s8>
                                    <interpret_g_z> |   |*|   | </interpret_g_z>
                                </skala_lok>
                            </prepocet>
                            <hodnota>2.70</hodnota>
                            <jednotka>10^-3</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.10</s1>
                                <s2>0.60</s2>
                                <s3>0.90</s3>
                                <s4>1.20</s4>
                                <s5>3.50</s5>
                                <s6>5.00</s6>
                                <s7>6.50</s7>
                                <s8>8.00</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="16263" syst_klic="PLT(B)" komp_klic="PDWSD" typ_cispol="N" typpol_fh="3" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Thr_Aniz_SD</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="fl" />
                            <hodnota>11.9</hodnota>
                            <jednotka>fl</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.0</s1>
                                <s2>6.0</s2>
                                <s3>7.5</s3>
                                <s4>9.0</s4>
                                <s5>17.0</s5>
                                <s6>22.0</s6>
                                <s7>27.0</s7>
                                <s8>50.0</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="18895" syst_klic="PLT(B)" komp_klic="PLCR" typ_cispol="N" typpol_fh="3" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="N" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Thr velké&gt;12fl</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="1" />
                            <prepocet hodnota_lok="31.40" prepfak="0.010000" jednotka_lclp="%" typpol_fh_lclp="2">
                                <skala_lok atribut="V" s_hodn_o="0">
                                    <s1>0.00</s1>
                                    <s2>5.00</s2>
                                    <s3>10.00</s3>
                                    <s4>15.00</s4>
                                    <s5>35.00</s5>
                                    <s6>50.00</s6>
                                    <s7>65.00</s7>
                                    <s8>100.00</s8>
                                    <interpret_g_z> |   |*|   | </interpret_g_z>
                                </skala_lok>
                            </prepocet>
                            <hodnota>0.3140</hodnota>
                            <jednotka>1</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.0000</s1>
                                <s2>0.0500</s2>
                                <s3>0.1000</s3>
                                <s4>0.1500</s4>
                                <s5>0.3500</s5>
                                <s6>0.5000</s6>
                                <s7>0.6500</s7>
                                <s8>1.0000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="13822" syst_klic="B" komp_klic="NORMOBLA" typ_cispol="N" typpol_fh="2" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="N" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_NRBC_abs.počet</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="10^9/l" />
                            <hodnota>0.00</hodnota>
                            <jednotka>10^9/l</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.00</s1>
                                <s2>0.00</s2>
                                <s3>0.00</s3>
                                <s4>0.00</s4>
                                <s5>0.00</s5>
                                <s6>0.10</s6>
                                <s7>0.50</s7>
                                <s8>3.00</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="13820" syst_klic="B" komp_klic="NORMOBL" typ_cispol="N" typpol_fh="2" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="N" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>NRBCau technická</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="1" />
                            <prepocet hodnota_lok="0.0" prepfak="0.010000" jednotka_lclp="%" typpol_fh_lclp="1">
                                <skala_lok s_hodn_o="0">
                                    <s1>0.0</s1>
                                    <s2>0.0</s2>
                                    <s3>0.0</s3>
                                    <s4>0.0</s4>
                                    <s5>0.0</s5>
                                    <s6>1.0</s6>
                                    <s7>5.0</s7>
                                    <s8>10.0</s8>
                                    <interpret_g_z> |   |*|   | </interpret_g_z>
                                </skala_lok>
                            </prepocet>
                            <hodnota>0.000</hodnota>
                            <jednotka>1</jednotka>
                            <skala s_hodn_o="0">
                                <s1>0.000</s1>
                                <s2>0.000</s2>
                                <s3>0.000</s3>
                                <s4>0.000</s4>
                                <s5>0.000</s5>
                                <s6>0.010</s6>
                                <s7>0.050</s7>
                                <s8>0.100</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="12369" syst_klic="B" komp_klic="NEU" typ_cispol="N" typpol_fh="2" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Neutrofily_abs</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="10^9/l" />
                            <hodnota>4.430</hodnota>
                            <jednotka>10^9/l</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.800</s1>
                                <s2>1.200</s2>
                                <s3>1.600</s3>
                                <s4>2.000</s4>
                                <s5>7.000</s5>
                                <s6>15.000</s6>
                                <s7>20.000</s7>
                                <s8>1000.000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="12483" syst_klic="LKC(B)" komp_klic="NEU" typ_cispol="N" typpol_fh="2" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Neutrofily</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="1" />
                            <prepocet hodnota_lok="66.0" prepfak="0.010000" jednotka_lclp="%" typpol_fh_lclp="1">
                                <skala_lok atribut="V" s_hodn_o="0">
                                    <s1>0.0</s1>
                                    <s2>20.0</s2>
                                    <s3>32.0</s3>
                                    <s4>45.0</s4>
                                    <s5>70.0</s5>
                                    <s6>80.0</s6>
                                    <s7>90.0</s7>
                                    <s8>100.0</s8>
                                    <interpret_g_z> |   |*|   | </interpret_g_z>
                                </skala_lok>
                            </prepocet>
                            <hodnota>0.660</hodnota>
                            <jednotka>1</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.000</s1>
                                <s2>0.200</s2>
                                <s3>0.320</s3>
                                <s4>0.450</s4>
                                <s5>0.700</s5>
                                <s6>0.800</s6>
                                <s7>0.900</s7>
                                <s8>1.000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="12365" syst_klic="B" komp_klic="LYMFO" typ_cispol="N" typpol_fh="1" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Lymfocyty_abs</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="10^9/l" />
                            <hodnota>1.500</hodnota>
                            <jednotka>10^9/l</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.200</s1>
                                <s2>0.400</s2>
                                <s3>0.600</s3>
                                <s4>0.800</s4>
                                <s5>4.000</s5>
                                <s6>7.000</s6>
                                <s7>10.000</s7>
                                <s8>500.000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="12471" syst_klic="LKC(B)" komp_klic="LYMFO" typ_cispol="N" typpol_fh="2" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Lymfocyty</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="1" />
                            <prepocet hodnota_lok="22.4" prepfak="0.010000" jednotka_lclp="%" typpol_fh_lclp="1">
                                <skala_lok atribut="V" s_hodn_o="0">
                                    <s1>0.0</s1>
                                    <s2>10.0</s2>
                                    <s3>15.0</s3>
                                    <s4>20.0</s4>
                                    <s5>45.0</s5>
                                    <s6>55.0</s6>
                                    <s7>65.0</s7>
                                    <s8>100.0</s8>
                                    <interpret_g_z> |   |*|   | </interpret_g_z>
                                </skala_lok>
                            </prepocet>
                            <hodnota>0.224</hodnota>
                            <jednotka>1</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.000</s1>
                                <s2>0.100</s2>
                                <s3>0.150</s3>
                                <s4>0.200</s4>
                                <s5>0.450</s5>
                                <s6>0.550</s6>
                                <s7>0.650</s7>
                                <s8>1.000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="12367" syst_klic="B" komp_klic="MONO" typ_cispol="N" typpol_fh="2" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Monocyty_abs</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="10^9/l" />
                            <hodnota>0.510</hodnota>
                            <jednotka>10^9/l</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.000</s1>
                                <s2>0.020</s2>
                                <s3>0.050</s3>
                                <s4>0.080</s4>
                                <s5>1.200</s5>
                                <s6>1.600</s6>
                                <s7>2.000</s7>
                                <s8>500.000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="12478" syst_klic="LKC(B)" komp_klic="MONO" typ_cispol="N" typpol_fh="2" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Monocyty</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="1" />
                            <prepocet hodnota_lok="7.6" prepfak="0.010000" jednotka_lclp="%" typpol_fh_lclp="1">
                                <skala_lok atribut="V" s_hodn_o="0">
                                    <s1>0.0</s1>
                                    <s2>0.6</s2>
                                    <s3>1.3</s3>
                                    <s4>2.0</s4>
                                    <s5>12.0</s5>
                                    <s6>27.0</s6>
                                    <s7>40.0</s7>
                                    <s8>100.0</s8>
                                    <interpret_g_z> |   |*|   | </interpret_g_z>
                                </skala_lok>
                            </prepocet>
                            <hodnota>0.076</hodnota>
                            <jednotka>1</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.000</s1>
                                <s2>0.006</s2>
                                <s3>0.013</s3>
                                <s4>0.020</s4>
                                <s5>0.120</s5>
                                <s6>0.270</s6>
                                <s7>0.400</s7>
                                <s8>1.000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="12348" syst_klic="B" komp_klic="EOS" typ_cispol="N" typpol_fh="2" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Eosinofily_abs</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="10^9/l" />
                            <hodnota>0.230</hodnota>
                            <jednotka>10^9/l</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.000</s1>
                                <s2>0.000</s2>
                                <s3>0.000</s3>
                                <s4>0.000</s4>
                                <s5>0.500</s5>
                                <s6>0.950</s6>
                                <s7>1.400</s7>
                                <s8>500.000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="12460" syst_klic="LKC(B)" komp_klic="EOS" typ_cispol="N" typpol_fh="2" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Eosinofily</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="1" />
                            <prepocet hodnota_lok="3.4" prepfak="0.010000" jednotka_lclp="%" typpol_fh_lclp="1">
                                <skala_lok atribut="V" s_hodn_o="0">
                                    <s1>0.0</s1>
                                    <s2>0.0</s2>
                                    <s3>0.0</s3>
                                    <s4>0.0</s4>
                                    <s5>5.0</s5>
                                    <s6>23.0</s6>
                                    <s7>40.0</s7>
                                    <s8>100.0</s8>
                                    <interpret_g_z> |   |*|   | </interpret_g_z>
                                </skala_lok>
                            </prepocet>
                            <hodnota>0.034</hodnota>
                            <jednotka>1</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.000</s1>
                                <s2>0.000</s2>
                                <s3>0.000</s3>
                                <s4>0.000</s4>
                                <s5>0.050</s5>
                                <s6>0.230</s6>
                                <s7>0.400</s7>
                                <s8>1.000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="12347" syst_klic="B" komp_klic="BAS" typ_cispol="N" typpol_fh="3" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Basofily_abs</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="10^9/l" />
                            <hodnota>0.040</hodnota>
                            <jednotka>10^9/l</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.000</s1>
                                <s2>0.000</s2>
                                <s3>0.000</s3>
                                <s4>0.000</s4>
                                <s5>0.200</s5>
                                <s6>1.100</s6>
                                <s7>2.000</s7>
                                <s8>10.000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="12449" syst_klic="LKC(B)" komp_klic="BAS" typ_cispol="N" typpol_fh="3" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Basofily</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="1" />
                            <prepocet hodnota_lok="0.6" prepfak="0.010000" jednotka_lclp="%" typpol_fh_lclp="1">
                                <skala_lok atribut="V" s_hodn_o="0">
                                    <s1>0.0</s1>
                                    <s2>0.0</s2>
                                    <s3>0.0</s3>
                                    <s4>0.0</s4>
                                    <s5>2.0</s5>
                                    <s6>11.0</s6>
                                    <s7>20.0</s7>
                                    <s8>100.0</s8>
                                    <interpret_g_z> |   |*|   | </interpret_g_z>
                                </skala_lok>
                            </prepocet>
                            <hodnota>0.006</hodnota>
                            <jednotka>1</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.000</s1>
                                <s2>0.000</s2>
                                <s3>0.000</s3>
                                <s4>0.000</s4>
                                <s5>0.020</s5>
                                <s6>0.110</s6>
                                <s7>0.200</s7>
                                <s8>1.000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="18027" syst_klic="B" komp_klic="GRANIM" typ_cispol="N" typpol_fh="3" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Nezr.gran.abs</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="10^9/l" />
                            <hodnota>0.02</hodnota>
                            <jednotka>10^9/l</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.00</s1>
                                <s2>0.00</s2>
                                <s3>0.00</s3>
                                <s4>0.00</s4>
                                <s5>0.03</s5>
                                <s6>1.80</s6>
                                <s7>3.00</s7>
                                <s8>50.00</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <ku_z_lab klic_nclp="18029" syst_klic="LKC(B)" komp_klic="GRANIM" typ_cispol="N" typpol_fh="3" stav_vys="A" urg_zprac="R" typ_sdel_vys="N" akreditace="A" id_lis="4300411|0206.CP-0592" id_lo_is="I0030857306BI">
                        <dat_du typ="I">2024-02-06T13:19:00</dat_du>
                        <dat_pl>2024-02-06T13:20:00</dat_pl>
                        <dat_vv>2024-02-06T13:25:00</dat_vv>
                        <autor>Bc. Vojtěch Samuel Valerián</autor>
                        <nazev_lclp>B_Nezr.gran.rel</nazev_lclp>
                        <vrn priznak_kvant="R" formrm="1">
                            <nazvy jednotka="1" />
                            <prepocet hodnota_lok="0.3" prepfak="0.010000" jednotka_lclp="%" typpol_fh_lclp="1">
                                <skala_lok atribut="V" s_hodn_o="0">
                                    <s1>0.0</s1>
                                    <s2>0.0</s2>
                                    <s3>0.0</s3>
                                    <s4>0.0</s4>
                                    <s5>0.5</s5>
                                    <s6>10.0</s6>
                                    <s7>20.0</s7>
                                    <s8>100.0</s8>
                                    <interpret_g_z> |   |*|   | </interpret_g_z>
                                </skala_lok>
                            </prepocet>
                            <hodnota>0.003</hodnota>
                            <jednotka>1</jednotka>
                            <skala atribut="V" s_hodn_o="0">
                                <s1>0.000</s1>
                                <s2>0.000</s2>
                                <s3>0.000</s3>
                                <s4>0.000</s4>
                                <s5>0.005</s5>
                                <s6>0.100</s6>
                                <s7>0.200</s7>
                                <s8>1.000</s8>
                                <interpret_g_z> |   |*|   | </interpret_g_z>
                            </skala>
                        </vrn>
                    </ku_z_lab>
                    <auzku indikace="I" typpol_vz="V" diag="I259">
                        <dat_du format="D" typ="I">2024-02-06</dat_du>
                        <vykon kod_vykonu="96167" pocet="1" uctujici="O" uctovatelnost="V" />
                        <p_pracoviste icz="04002000" icp="04002145" odb="818" ns="SLH">
                            <nazev>Pracoviště laboratorních metod</nazev>
                            <a typ="P" xmlns="urn:cz-mzcr:ns:dasta:ds4:ds_dasta">
                                <jmeno>Stříž Ilja MUDr.</jmeno>
                                <adr>Pracoviště laboratorních metod</adr>
                                <dop1>IKEM</dop1>
                                <dop2>Vídeňská 1958/9</dop2>
                                <psc>14021</psc>
                                <mesto>Praha 4</mesto>
                               
                            </a>
                        </p_pracoviste>
                        <p_pracovnik  odbornost="813">
                            <titul_pred>MUDr.</titul_pred>
                            <jmeno>Ilja</jmeno>
                            <prijmeni>Stříž</prijmeni>
                        </p_pracovnik>
                    </auzku>
                    <auzku indikace="I" typpol_vz="V" diag="I259">
                        <dat_du format="D" typ="I">2024-02-06</dat_du>
                        <vykon kod_vykonu="96863" pocet="1" uctujici="O" uctovatelnost="V" />
                        <p_pracoviste icz="04002000" icp="04002145" odb="818" ns="SLH">
                            <nazev>Pracoviště laboratorních metod</nazev>
                            <a typ="P" xmlns="urn:cz-mzcr:ns:dasta:ds4:ds_dasta">
                                <jmeno>Stříž Ilja MUDr.</jmeno>
                                <adr>Pracoviště laboratorních metod</adr>
                                <dop1>IKEM</dop1>
                                <dop2>Vídeňská 1958/9</dop2>
                                <psc>14021</psc>
                                <mesto>Praha 4</mesto>
                               
                            </a>
                        </p_pracoviste>
                        <p_pracovnik  odbornost="813">
                            <titul_pred>MUDr.</titul_pred>
                            <jmeno>Ilja</jmeno>
                            <prijmeni>Stříž</prijmeni>
                        </p_pracovnik>
                    </auzku>
                </ku_z>
            </ku>
        </ip>
    </is>
</dasta>