Literature DB >> 32996680

Lymphopenia in critically ill COVID-19 patients: A predictor factor of severity and mortality.

Amra Ziadi1, Abdelhamid Hachimi2, Brahim Admou3, Raja Hazime3, Imane Brahim3, Fouzia Douirek1, Youssef Zarrouki1, Ahmed R El Adib4, Said Younous4, Abdenasser M Samkaoui1.   

Abstract

Entities:  

Keywords:  COVID-19; intensive care unit; lymphocyte; lymphocyte subset

Year:  2020        PMID: 32996680      PMCID: PMC7537351          DOI: 10.1111/ijlh.13351

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


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Dear editor, We read with interest the recent article by Terpos et al. They reviewed different hematologic findings and complications of COVID‐19. Especially, we are interested in lymphopenia in severe COVID‐19 patients, which is a predictor factor of severity and mortality. We aimed to report the occurrence of lymphopenia, lymphocyte subsets, and its impact on ICU mortality in critically ill patients with COVID‐19. In this single‐center cohort, we included adult patients with confirmed COVID‐19 infection by a positive reverse‐transcriptase‐polymerase‐chain‐reaction (RT‐PCR) assay of a nasopharyngeal swab, admitted in the intensive care unit (ICU) of the Mohammed VIth university hospital of the Marrakech region (Morocco), from March 19, 2020 to May 15, 2020. We collected demographic data, comorbidities, clinical signs at the ICU admission, laboratory findings, chest CT scan if available, outcomes, time from onset of the first symptom to ICU admission, and sequential organ failure assessment (SOFA) scores. We expressed continuous variables as medians and interquartile (IQR) ranges or means (standard deviations (SD)), as appropriate, and compared using independent group Student's t test or the Mann‐Whitney U test. Categorical variables were described using percentages and compared using the χ2‐test, although Fisher's exact test was used when the data were sparse. We performed univariable to evaluate the risk factors of mortality. The analysis was processed by spss 10.0 for Windows (SPSS, Chicago, IL, USA). A P‐value of <.05 was considered statistically significant. Of 1618, COVID‐19 patients hospitalized in our teaching center, 55 (3.4%) were admitted to the ICU. The mean age was 59 (16.5) years (Min‐Max: 21‐90); 74.5% were men. Among all the patients, 84% had chronic medical conditions. The common comorbidities were hypertension (42%) and diabetes (34%). The frequent symptoms were dyspnoea (85%) and cough (80%). The median length from the onset of symptoms to ICU admission was 7 (6‐8) days. The median SOFA score at admission was 5 (4‐17). The length from the onset of symptoms to ICU admission was an independent risk factor of lymphopenia <1000/mm3 (OR 1.5; 95% CI 1.006‐2.2; P = .04). We noted that lymphopenia <1000/mm3 was present in 53% of our patients. We performed lymphocyte subset counts in 43.6% (24/55) of cases on admission (Table 1). CD3 + T cells (normal range 1000‐2200/mm3) decreased in 66.6% (16/24) of patients. CD4 + T cells (normal range 530‐1300/mm3) decreased in 70.8% (17/24) of patients. CD8 + T cells (normal range 330‐920/mm3) decreased in 54.2% (13/24) of patients. B cells (normal range 110‐570/mm3) decreased in 45.8% (11/24) of patients, and natural killer cells (normal range 70‐480/mm3) decreased in 29.1% (7/24) of patients. Statistically, comparing survivors to nonsurvivors, the difference was not significant in CD3+ (P = .1), CD4+ (P = .1), CD8+ (P = .3) T cells, B cells (P = .8), NK cells (P = .5), and CD4+/CD8 + ratio (P = .5).
Table 1

lymphocytes subsets count on admission and outcomes in 24 patients and outcomes

PatientsCD3+CD4+CD8+CD4+/CD8+B cellsNK cellsOutcome
12461191240.965580Deceased
26564521852.44453246Deceased
310846473761.72353114Survivor
420974930.8101Survivor
56264132052.0176262Deceased
610514005840.6870151Survivor
7162011004742.3221397Survivor
88754793901.22188271Survivor
9158101362.87017Deceased
10188665412700.51116774Deceased
115822383230.738581Survivor
124522191221.811353Survivor
13280158971.627761Deceased
147513653670.99288527Survivor
152644116313960.83434346Survivor
165003231352.398982Survivor
178243147910.49168Survivor
182491441001.4491261Deceased
195764121512.725926Survivor
207084382461.78242115Deceased
2111439630.6218521Deceased
2211345477320.74249115Survivor
2310569874292.3540223Survivor
2415896755621.2378178Survivor
lymphocytes subsets count on admission and outcomes in 24 patients and outcomes Liu Z et al found that CD4 + T cells diminished in 56.4% of patients, CD8 + T cells diminished in 71.8% of patients, B cells diminished in 69.2% of patients, and NK cells diminished in 76.9% patients. In addition, the severe patients had lower lymphocyte count (P = .0007), CD4 + T cells (P = .024), CD8 + T cells (P = .005), and B cells (P = .018), but the difference was not significant in CD4+/CD8 + ratio (P = .392) and NK cells (P = .177), compared to cases with mild severity. Lymphopenia <1000/mm3 on admission was more frequent in nonsurvivors (67% vs 30%; P = .01) compared with survivors. The lymphocyte counts on day 3, day 4, day 5, and day 7 of hospitalization were predictor factors of the ICU mortality in univariable analysis (Figure 1) and the lowest count of lymphocyte was on day 2 after hospitalization in survivors. Compared to patients with lymphopenia >1000/mm3, those with lymphopenia <1000/mm3 needed more inotrope use (43% vs 12%; P = .01), with an increased ICU mortality rate (79% vs 44%; P = .01).
Figure 1

the impact of the lymphocyte counts on the ICU mortality in univariable analysis

the impact of the lymphocyte counts on the ICU mortality in univariable analysis A recent meta‐analysis proposed that lymphopenia is an important hematological signal of severe COVID‐19 and a lymphopenia <1500/mm3 could be a practical parameter to predict severe outcomes. Moreover, it was a risk factor of myocardial injury and acute respiratory distress syndrome (ARDS). Besides, it was a risk factor for death with a nadir of lymphocytes on day 7 in survivors. This nadir was on day 2 in our study as a result of the delay in the hospitalization of our patients. Additionally, Tan et al showed that the kinetic of the lymphocyte percentage between two time points (10‐12 days and 17‐19 days after symptom onset) was a credible marker of the severity in COVID‐19 cases; indeed, in the death group, the lymphocyte% was more than 10% on the first time point and <5% on the second time point. As well, the neutrophil‐to‐lymphocyte ratio was an independent risk factor for the occurrence of critical events. In conclusion, lymphopenia is a frequent biological disorder in patients with COVID‐19. It is a predictor factor of the severity, the myocardial injury, the occurrence of ARDS, and a risk factor of ICU mortality. Furthermore, it is a useful tool for predicting poor outcomes. Other larger sample studies are needed to validate risk factors and the lymphocyte threshold.

CONFLICT OF INTEREST

All authors declare no competing interests.

ETHICAL APPROVAL

Informed consent was waived because of the emergency of the disease. All research was conducted following the national guidelines and regulations. No patient identifiers were collected.
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