Journal List > Lab Med Online > v.13(4) > 1516084134

Establishing a Reference Interval for Flow Cytometry-Based NK Activity (FC-NKA) Assay in Healthy Korean Population

Abstract

Background

Flow cytometry (FC)-based natural killer cell activity (NKA) assays are commonly used in clinical laboratories. As low or no NKA is indicative of hemophagocytic lymphohistiocytosis (HLH), the precise determination of NKA levels is essential. The study aims to establish a reference interval for FC-NKA in healthy Korean subjects and determine the optimal cutoff for diagnosing HLH.

Methods

In a single-center retrospective study, internal quality control data from a total of 143 healthy individuals were analyzed. The FC-NKA assessed NK cytotoxicity by culturing effector cells with carboxyfluorescein diacetate succinimidyl ester-labeled K562 cells at an effector-to-target ratio of 32:1 for 4 hours. We compared the assay results among subgroups stratified by age and sex, as well as between healthy controls and HLH patients.

Results

The FC-NKA results did not vary significantly depending on age and sex. The reference interval drawn from the 2.5–97.5 percentile of the population was 13.8–82.9%. The lower limits of FC-NKA for the 5th and 10th percentiles were found to be 17.9% and 26.8%, respectively. Using receiver operating characteristic analysis, an optimal cutoff value of 20.0% was identified for HLH diagnosis with a sensitivity and specificity of 93.8% and 93.0%, respectively. The intra-individual coefficient of variation was determined to be 13.4% for the analysis of sequential samples from a single blood donor (N=8).

Conclusions

The reference interval of the FC-NKA was determined for healthy Korean subjects, and the suggested cutoff level has the potential to be utilized for the diagnosis of HLH.

초록

배경

자연살해세포(NK cell) 세포독성능을 검사하기 위한 방법으로 유세포 기반 검사가 임상 검사실에서 널리 시행되고 있다. 자연살해세포 세포독성능의 감소는 혈구포식림프조직구증(hemophagodytic lymphohistiocytosis, HLH)에 진단적 가치가 있으므로, 정확한 측정이 필수적이다. 본 연구에서는 건강한 한국인에서의 유세포기반 자연살해세포독성검사 참고치 및 혈구포식림프조직구증 진단에 적절한 판정기준치를 제안하고자 한다.

방법

단일 기관에서 143명의 건강인 대조군의 유세포기반 자연살해세포독성검사 내부정도관리 결과를 후향적으로 분석하였다. 유세포기반 자연살해세포독성검사를 위해 말초혈액단핵구(PBMC)를 분리하여 CFSE 염색한 K562 세포와 4시간 동안 반응시킨 후에 작동세포 대 표적세포의 비율을 32:1로 맞추어서 검사하였다. 연령별, 성별 하위집단에서 검사결과를 비교하고, 혈구포식림프조직구증 환자와 건강인 검사결과를 비교하였다.

결과

세포독성능 결과에서 성별이나 연령에 따른 유의한 차이가 관찰되지 않았다. 참고인 전체에 대해 2.5–97.5% 참고치는 13.8–82.9%에 해당하였다. 하한 5, 10 백분위수에 따른 참고치의 결과는 각각 17.9%, 26.8%에 해당했다. 혈구포식림프조직구증 환자에서의 결과를 함께 고려하여 receiver operating characteristic (ROC) 곡선을 분석하였을 때 최적의 판정기준치는 20.0%로, 민감도 93.8%, 특이도 93.0%를 나타낼 것으로 분석되었다. 동일인에서 반복측정한 경우(N=8), 개인 내 변이계수의 평균은 13.4%로 확인되었다.

결론

본 연구에서는 건강한 한국 성인에서 유세포기반 자연살해세포독성검사의 참고치를 확인하였으며, 혈구포식림프조직구증 진단에 도움이 되는 판정기준치를 제안하였다.

INTRODUCTION

Natural killer (NK) cells are innate immune cells displaying potent cytolytic effector functions [1, 2]. They play a crucial role in defending against pathogens, participating in immune surveillance, and actively eliminating cancer cells. Numerous diseases, and in particular hemophagocytic lymphohistiocytosis (HLH) [3, 4], have been linked to impaired NK cell activity (NKA). As low to no NKA can serve as a diagnostic criterion of HLH, accurate measurement of NKA is essential. Reduced NKA has also been observed in various other cancer types [5, 6]. Consequently, there is a growing demand for reliable and standardized methods for assessing NKA levels that ensure high sensitivity and precision.
Several approaches to measuring NKA exist. The radioactive chromium (51Cr) release assay is considered the gold standard for measuring NKA. However, it has several limitations, including radioactivity, inter-laboratory variability, and low sensitivity for apoptotic cell death [7-11]. As an alternative, the flow cytometry-based NK cytotoxicity assay (FC-NKA) has been widely applied and continuously optimized for use in clinical laboratories. However, the FC-NKA has not been standardized across laboratories, and a consensus on the reference interval for healthy individuals has not been reached [7, 9, 12-14].
Several previous studies have suggested a possible reference interval for interpreting FC-NKA results, but the number of healthy controls was insufficient to establish a statistically reliable reference interval [15-17]. Furthermore, in addition to the inherent challenges of standardizing functional immunoassays [18], the factors influencing FC-NKA performance have not been fully elucidated.
The present study aims to propose a reference interval for the FC-NKA in healthy controls and provide an optimal cutoff value for identifying those with low or no NKA. Furthermore, potential factors contributing to assay performance are also investigated.

MATERIALS AND METHODS

1. Study population

In the single-center retrospective study, the internal quality control data was examined. The data of 143 healthy controls subjected to the FC-NKA test from January 2019 until March 2023 at Seoul St. Mary’s Hospital were included. The healthy control samples included leftover samples from transplant donor pretransplant cross-matching tests or freshly collected samples from volunteered healthcare workers. Available demographic information for each control includes age, sex, and complete blood count (CBC) parameters. To validate the reference interval and determine the optimal cutoff of the assay, we compared the FC-NKA results of 16 HLH patients with those of the healthy controls. The study was approved by the Institutional Review Board of Seoul St. Mary’s Hospital (KC23EISI0221). Because the current study retrospectively analyzed quality control data obtained from routine laboratory protocols, informed consent was waived by the board.

2. Flow cytometry-based NK activity (FC-NKA) assay

FC-NKA measurements were performed according to the standard procedure in our laboratory [13]. In brief, CML-derived K562 cell lines (ATCC No. CCL-243™) were cultured with Dulbecco’s modified Eagle’s medium (DMEM, Welgene, Daegu, Korea) supplemented with 100 U/mL penicillin (Gibco, BRL, NY, USA), 100 µg/mL streptomycin (Gibco), and 10% fetal bovine serum. Fresh peripheral blood mononuclear cells (PBMC) were isolated from 10 mL of heparinized blood using Uni-sep lymphocyte separation tubes (Novamed, Jerusalem, Israel). K562 cells were stained with carboxyfluorescein diacetate succinimidyl ester (CFSE) (ThermoFisher Scientific, Carlsbad, CA, USA) to label the target cells. Effector cells (i.e., PBMC) were incubated at 37°C with CFSE-labeled K562 cells at an effector-to-target ratio of 32:1 for 4 hours. For the negative control, K562 and effector cells were individually subjected to the test. After incubation at 37°C under 5% CO2 for 4 hours, 7-AAD (Beckman Coulter, Marseille, France) was added, followed by analysis using a Navios flow cytometer (Beckman Coulter, San Diego, CA, USA). At least 1,000 to 2,000 target cells were examined. NK cell activity is determined by calculating the ratio of 7-AAD-stained cytolyzed target cells to the total number of CFSE-positive cells.

3. Statistical analysis

Statistical analyses were performed using Prism version 9.4.1 for Windows (GraphPad, San Diego, CA, USA) and MedCalc Statistical Software version 20.114 (MedCalc Software Ltd., Ostend, Belgium). Baseline characteristics were compared using either the chi-square test or t-test. The correlation between each CBC para-meter and the assay result was evaluated using Pearson’s correlation coefficient. Cytolyzed target cell percentages were compared among subgroups based on age and sex using a two-way analysis of variance (ANOVA). Following the C28-A3 CLSI guideline, we used the 2.5th to 97.5th percentiles to determine the reference interval [15]; moreover, the 5th and 10th percentiles were used to determine additional lower limits as it is crucial to elucidate reduced NK cytotoxicity for medical decision-making. The differences between the healthy controls and patients diagnosed with HLH were determined using the Mann-Whitney test. Receiver operating characteristic (ROC) analysis was performed using data from 16 patients diagnosed with HLH and 143 healthy controls collected within a similar timeframe, and the optimal cutoff was suggested based on Youden’s index. The variability between lots and interpreters was assessed using the Kruskal-Wallis test. All values were tested for normality before selecting either the parametric or non-parametric statistical method. Two-sided P-values of <0.05 were considered statistically significant.

RESULTS

1. Influence of age and sex

The study analyzed data from 143 healthy individuals using a total of 183 collected blood samples. Among these, 15 individuals were repeatedly tested as healthy controls, ranging from two to 11 times, with eight individuals participating more than three times. Only the first assay result from multiple sampling events was considered for determining the reference interval. Table 1 shows the distribution of individuals across different age groups (<30, 30–39, 40–49, and ≥50 years old) and sexes, along with a summary of the CBC results from each group. The analysis revealed that the only significant difference based on sex was related to hemoglobin levels. Nevertheless, no correlation was found between hemoglobin levels and the FC-NKA assay result (data not shown). Notably, no significant differences are identified in the FC-NKA results among the age- and sex-based subgroups, as depicted in Fig. 1.

2. Determination of reference interval

Given that no significant differences were observed within the age and sex subgroups, we provided a single reference interval for FC-NKA without stratification by age or sex. Our data showed that the 2.5–97.5 percentile reference interval for FC-NKA ranged from 13.8% to 82.9%. Additional lower limits of the 5th and 10th percentiles resulted in lower reference values of 17.9% and 26.8%, respectively. We used data from 16 patients diagnosed with HLH for comparison. The 16 patients had a median age of 23 years (range from 1 month to 65 years old) and consisted of nine males and seven females (Table 1). Their median age was significantly lower than that of the healthy controls (P=0.0012), and they revealed lower hemoglobin levels (P<0.0001) and platelet counts (P=0.0026). The assay results showed a significant decrease in K562 cytolysis (P<0.0001) in patients diagnosed with HLH compared to those in healthy controls (Fig. 2A). Additionally, the ROC curve indicated an impressive area under the curve (AUC) of 96.8% (95% confidence interval: 92.8% to 99.0%) based on Youden’s index (sum of 93.8% sensitivity and 93.0% specificity–100%). The optimal threshold value for defining decreased NK cell function while maintaining satisfactory diagnostic accuracy was determined to be 20.0% (Fig. 2B).
The healthy individuals with NKA levels below the recommended threshold were significantly younger (median age, 31.5 years old) than those with NKA levels above 20% (median age, 42.0 years old). No differences were observable in terms of sex proportion or CBC parameters.

3. Potential factors contributing to assay performance

We estimated the baseline intra-individual biological variation of the assay by analyzing samples obtained from a single individual undergoing three or more blood draws (N=8). The mean intra-individual coefficient of variation (CV) was 13.4%, with values ranging from 4.6% to 26.9%. The blood samples of the individual with an intra-individual CV of 26.9% were drawn at an interval of approximately six months. No discernible differences were observed for lot-to-lot or inter-interpreter variability (Fig. 3).

DISCUSSION

Because NK cells play a crucial role in the disease mechanism of HLH and other cancers, accurate and reproducible measurement of their activity is imperative [19-22]. Despite its widespread use, consensus regarding the reference intervals for the FC-NKA is lacking. Here, we propose a feasible FC-NKA assay that can be implemented in clinical laboratories, along with a reference interval based on CLSI C28-A3 and an optimal cutoff value for the diagnosis of HLH.
As no significant differences among the age and sex subgroups were observed, we concluded that stratification based on age and sex was not necessary to establish the reference interval for the FC-NKA. Therefore, for the 143 healthy individuals, we proposed a single reference interval of 13.8–82.9% for the 2.5–97.5th percentiles, respectively. Additionally, to establish a lower limit for HLH diagnosis, the 5th and 10th percentiles were used, providing lower limits of 17.9% and 26.8%, respectively. There is no consensus on which percentile to use as the optimal diagnostic threshold, and in practice, the three cutoffs listed above have all been implemented previously [12, 14, 16]. We further validated the cutoff value for the detection of HLH by comparing the FC-NKA results of healthy individuals with those of 16 HLH patients. Finally, we identified a threshold of 20.0%, which exhibited a sensitivity and specificity of 93.8% and 93.0%, respectively. These results suggest that the lower limits of the 5th and 10th percentiles can serve as diagnostic thresholds depending on the purpose of the assay, that is, whether it prioritizes sensitivity or specificity.
Reported differences among FC-NKA results based on age and/or sex are conflicting across studies. Some studies have reported that NKA is higher in males than females [12, 17], while another study reported no difference [16]. Our data did not show significant differences in the FC-NKA results based on variables such as age, sex, and CBC parameters. This may be due to the sample size and heterogeneity of the participants. Further studies with a larger sample size that include both HLH patients and healthy individuals with well-defined health data are needed. Particular attention should be given to the younger population, as our data showed that healthy individuals with NKA <20% were significantly youn-ger. This finding may suggest the need for a separate reference interval for younger individuals. Considering familial HLH, where children are at high risk [23], our data also revealed significantly younger patient epidemiology, and the identification of decreased NKA in this age group is of utmost importance.
The NKA assay holds particular significance in individuals with immunomodulated conditions that are susceptible to lymphopenia, thus necessitating reliable isolation of the effector cells to ensure accurate results. However, due to limited capacities for obtaining PBMCs, it is necessary to optimize the effector-to-target ratio. The 51Cr assay, esteemed as the gold standard for estimating NKA, has been previously suggested to have reference intervals of 31.9–51.2% [24] and 29.4–63.2% [25]. The introduction of FC-based assays has led to the utilization of various effector-to-target ratios, but a consensus on the ideal ratio has not been reached [9, 16, 22]. Reaching a consensus on the effector-to-target ratio closest to the results obtained from the 51Cr assay will yield valuable and readily interpretable data.
Although FC-NKA is an effective method for assessing the functional aspect of NK cell activity, it is unsuitable for use as a quantitative assay, as is the case with many other functional immunoassays. Additionally, the intra-individual CV of FC-NKA ranged from 4.6% to 26.9%, which may be higher than that of conventional immunoassays. However, this range is generally consistent with previous findings regarding functional immunoassays [26]. Considering the high biological variation of NKA [27], it is suggested that the analytical imprecision can be well controlled, allowing for a high degree of harmonization. Laboratories performing FC-NKA should implement internal and external quality controls or interlaboratory comparisons. Furthermore, a consensus would lead to the standardization of laboratory diagnostic strategies. The limitations of the study are as follows. The data in our study lack results from the pediatric population as healthy controls. Separate references for subgroups according to demographics could not be addressed in this study. Additionally, the number of included HLH patients was limited, and their median age differed from that of the healthy controls. Additionally, we only analyzed results tested using an effector-to-target ratio of 32:1; future studies are needed to confirm whether this ratio is optimal for the evaluation of NK cytotoxicity.
However, a notable advantage of our study lies in its utilization of a well-controlled routine laboratory protocol, which ensures consistency and reliability in establishing a reference interval for FC-NKA assays in a larger healthy control sample size than analyzed in previous studies. In conclusion, this study proposed a single reference interval for the FC-NKA and validated an optimal cutoff value for HLH diagnosis.

Notes

Conflicts of Interest

None declared.

REFERENCES

1. Paul S, Lal G. 2017; The molecular mechanism of natural killer cells function and its importance in cancer immunotherapy. Front Immunol. 8:1124. DOI: 10.3389/fimmu.2017.01124. PMID: 28955340. PMCID: PMC5601256.
2. Vivier E, Tomasello E, Baratin M, Walzer T, Ugolini S. 2008; Functions of natural killer cells. Nat Immunol. 9:503–10. DOI: 10.1038/ni1582. PMID: 18425107.
3. Henter JI, Horne A, Aricó M, Egeler RM, Filipovich AH, Imashuku S, et al. HLH-2004: diagnostic and therapeutic guidelines for hemophagocytic lymphohistiocytosis. Pediatr Blood Cancer. 2007; 48:124–31. DOI: 10.1002/pbc.21039. PMID: 16937360.
4. Ramachandran S, Zaidi F, Aggarwal A, Gera R. 2017; Recent advances in diagnostic and therapeutic guidelines for primary and secondary hemophagocytic lymphohistiocytosis. Blood Cells Mol Dis. 64:53–7. DOI: 10.1016/j.bcmd.2016.10.023. PMID: 28433836.
5. Lee J, Park KH, Ryu JH, Bae HJ, Choi A, Lee H, et al. 2017; Natural killer cell activity for IFN-gamma production as a supportive diagnostic marker for gastric cancer. Oncotarget. 8:70431–40. DOI: 10.18632/oncotarget.19712. PMID: 29050291. PMCID: PMC5642566.
6. Wu SY, Fu T, Jiang YZ, Shao ZM. 2020; Natural killer cells in cancer biology and therapy. Mol Cancer. 19:120. DOI: 10.1186/s12943-020-01238-x. PMID: 32762681. PMCID: PMC7409673.
7. Zhang J, Wang Y, Wu L, Wang J, Tang R, Li S, et al. 2017; Application of an improved flow cytometry-based NK cell activity assay in adult hemophagocytic lymphohistiocytosis. Int J Hematol. 105:828–34. DOI: 10.1007/s12185-017-2195-3. PMID: 28185204.
8. Lee SB, Cha J, Kim IK, Yoon JC, Lee HJ, Park SW, et al. 2014; A high-throughput assay of NK cell activity in whole blood and its clinical application. Biochem Biophys Res Commun. 445:584–90. DOI: 10.1016/j.bbrc.2014.02.040. PMID: 24561245.
9. Kandarian F, Sunga GM, Arango-Saenz D, Rossetti M. 2017; A flow cytometry-based cytotoxicity assay for the assessment of human NK cell activity. J Vis Exp. 126:e56191. DOI: 10.3791/56191-v. PMID: 28829424. PMCID: PMC5614136.
10. Motzer SA, Tsuji J, Hertig V, Johnston SK, Scanlan J. 2003; Natural killer cell cytotoxicity: a methods analysis of 51chromium release versus flow cytometry. Biol Res Nurs. 5:142–52. DOI: 10.1177/1099800403257196. PMID: 14531218.
11. Park KH, Park H, Kim M, Kim Y, Han K, Oh EJ. 2013; Evaluation of NK cell function by flowcytometric measurement and impedance based assay using real-time cell electronic sensing system. Biomed Res Int. 2013:210726. DOI: 10.1155/2013/210726. PMID: 24236291. PMCID: PMC3819884.
12. Hou H, Mao L, Wang J, Liu W, Lu Y, Yu J, et al. 2016; Establishing the reference intervals of NK cell functions in healthy adults. Hum Immunol. 77:637–42. DOI: 10.1016/j.humimm.2016.05.022. PMID: 27236137.
13. Lee H, Kim HS, Lee JM, Park KH, Choi AR, Yoon JH, et al. 2019; Natural killer cell function tests by flowcytometry-based cytotoxicity and IFN-gamma production for the diagnosis of adult hemophagocytic lymphohistiocytosis. Int J Mol Sci. 20:5413. DOI: 10.3390/ijms20215413. PMID: 31671661. PMCID: PMC6862274.
14. Wong WY, Wong H, Cheung SP, Chan E. 2019; Measuring natural killer cell cytotoxicity by flow cytometry. Pathology. 51:286–91. DOI: 10.1016/j.pathol.2018.12.417. PMID: 30803738.
15. Clinical and Laboratory Standards Institute. 2010. Defining, establishing, and verifying reference intervals in the clinical laboratory; Approved guideline-Third edition. CLSI guideline C28-A3. Clinical and Laboratory Standards Institute;Wayne, PA.
16. Chung HJ, Park CJ, Lim JH, Jang S, Chi HS, Im HJ, et al. 2010; Establishment of a reference interval for natural killer cell activity through flow cytometry and its clinical application in the diagnosis of hemophagocytic lymphohistiocytosis. Int J Lab Hematol. 32:239–47. DOI: 10.1111/j.1751-553X.2009.01177.x. PMID: 19614711.
17. Phan MT, Chun S, Kim SH, Ali AK, Lee SH, Kim S, et al. 2017; Natural killer cell subsets and receptor expression in peripheral blood mononuclear cells of a healthy Korean population: reference range, influence of age and sex, and correlation between NK cell receptors and cytotoxicity. Hum Immunol. 78:103–12. DOI: 10.1016/j.humimm.2016.11.006. PMID: 27884732.
18. Masseyeff RF. 1991; Standardization of immunoassays. Ann Ist Super Sanita. 27:427–36.
19. Sun C, Sun HY, Xiao WH, Zhang C, Tian ZG. 2015; Natural killer cell dysfunction in hepatocellular carcinoma and NK cell-based immunotherapy. Acta Pharmacol Sin. 36:1191–9. DOI: 10.1038/aps.2015.41. PMID: 26073325. PMCID: PMC4648180.
20. Liu P, Chen L, Zhang H. 2018; Natural killer cells in liver disease and hepatocellular carcinoma and the NK cell-based immunotherapy. J Immunol Res. 2018:1206737. DOI: 10.1155/2018/1206737. PMID: 30255103. PMCID: PMC6142725.
21. Lee JC, Lee KM, Kim DW, Heo DS. 2004; Elevated TGF-beta1 secretion and down-modulation of NKG2D underlies impaired NK cytotoxicity in cancer patients. J Immunol. 172:7335–40. DOI: 10.4049/jimmunol.172.12.7335. PMID: 15187109.
22. Kim J, Phan MT, Kweon S, Yu H, Park J, Kim KH, et al. 2020; A flow cytometry-based whole blood natural killer cell cytotoxicity assay using overnight cytokine activation. Front Immunol. 11:1851. DOI: 10.3389/fimmu.2020.01851. PMID: 32922399. PMCID: PMC7457041.
23. Brisse E, Matthys P, Wouters CH. 2016; Understanding the spectrum of haemophagocytic lymphohistiocytosis: update on diagnostic challenges and therapeutic options. Br J Haematol. 174:175–87. DOI: 10.1111/bjh.14144. PMID: 27292929.
24. Bobek V, Boubelik M, Fiserová A, L'uptovcová M, Vannucci L, Kacprzak G, et al. 2005; Anticoagulant drugs increase natural killer cell activity in lung cancer. Lung Cancer. 47:215–23. DOI: 10.1016/j.lungcan.2004.06.012. PMID: 15639720.
25. Tursz T, Dokhelar MC, Lipinski M, Amiel JL. 1982; Low natural killer cell activity in patients with malignant lymphoma. Cancer. 50:2333–5. DOI: 10.1002/1097-0142(19821201)50:11<2333::AID-CNCR2820501119>3.0.CO;2-W. PMID: 6958348.
26. Froebel KS, Pakker NG, Aiuti F, Bofill M, Choremi-Papadopoulou H, Economidou J, et al. 1999; Standardisation and quality assurance of lymphocyte proliferation assays for use in the assessment of immune function. J Immunol Methods. 227:85–97. DOI: 10.1016/S0022-1759(99)00082-4. PMID: 10485257.
27. Valiathan R, Lewis JE, Melillo AB, Leonard S, Ali KH, Asthana D. 2012; Evaluation of a flow cytometry-based assay for natural killer cell activity in clinical settings. Scand J Immunol. 75:455–62. DOI: 10.1111/j.1365-3083.2011.02667.x. PMID: 22150284.

Fig. 1
Percent of lysed K562 cells in separate subgroups according to age and sex. Age and gender subgroups are compared for the FC-based NK activity (FC-NKA) results. Data are presented in terms of the median with the interquartile range (IQR) and the tick marks indicate minimum and maximum values. Two-way analysis of variance (ANOVA) was performed, and the statistical significance between males and females in the same age group is shown in black. The statistical significance between different age groups in males is shown in blue, and in females, in red.
Abbreviation: ns, not significant.
lmo-13-4-349-f1.tif
Fig. 2
Comparison of %K562 cytolysis in healthy controls and HLH patients and ROC curve for FC-NKA assay. (A) Comparison of %K562 cytolysis in healthy controls and in patients diagnosed with hemophagocytic lymphohistiocytosis (HLH). Data are presented as medians with interquartile range (IQR), and the tick marks indicate minimum and maximum values. (B) Receiver operating characteristic (ROC) curve for flow cytometry-based NK activity (FC-NKA) assay. ****P<0.0001 by Mann-Whitney test.
lmo-13-4-349-f2.tif
Fig. 3
Percentage of lysed K562 cells across lots and interpreters. Each dot represents a single individual result. The horizontal line indicates median with interquartile range (IQR).
Abbreviation: ns, not significant.
lmo-13-4-349-f3.tif
Table 1
Baseline characteristics of healthy controls and patients diagnosed with hemophagocytic lymphohistiocytosis (HLH)
Healthy control HLH patients
Total Male Female P-value* Total P-value
Number of participants 143 61 82 0.0791 16 < 0.0001
Number of blood draws 183 78 105 0.0459 16 < 0.0001
Age (mean ± SD) 41± 13 40± 12 42± 13 0.2677 23± 22 0.0012
Less than 30 YO, N 29 13 16 10
30 to 39 YO, N 31 15 16 3
40 to 49 YO, N 29 14 15 0
50 YO or more, N 38 16 22 3
CBC parameters, (mean ± SD)
Hb (g/dL) 15.08 ± 11.9 15.09 ± 0.88 15.07± 14.4 < 0.0001 9.93 ± 1.63 < 0.0001
WBC count (103/mL) 5.76 ± 1.61 5.77 ± 1.47 5.76 ± 1.68 0.5629 6.12 ± 4.58 0.2232
Lymphocyte (%) 35.8 ± 9.4 37.4 ± 9.5 35.0 ± 9.4 0.9809 34.2 ± 25.9 0.2583
Lymphocyte, absolute count (103/mL) 2.00 ± 0.59 2.14 ± 0.71 1.94 ± 0.52 0.6731 1.91± 1.82 0.2029
Platelet count (103/mL) 194.7 ± 87.0 170.9 ± 86.0 205.9 ± 85.9 0.6701 125.6 ± 100.9 0.0026

*Statistical significance calculated between male and female healthy controls.

Statistical significance calculated between the total healthy controls and patients diagnosed with HLH.

Abbreviations: SD, standard deviation; YO, years old; CBC, complete blood cell count; Hb, hemoglobin; WBC, white blood cell; HLH, hemophagocytic lymphohistiocytosis.

TOOLS
Similar articles