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Rate of secondary HLH and performance of H-score in patients with severe COVID-19.
Alam, Fiaz; Becetti, Karima; Alamlih, Laith; Cackamvalli, Priyanka; Veettil, Safna; Awadh, Basem; Ibrahim, Mohamed; Al Emadi, Samar.
  • Alam F; Division of Rheumatology, Department of Medicine, Hamad Medical Corporation, Doha, Qatar E-mail: FAlam1@hamad.qa.
  • Becetti K; Division of Rheumatology, Department of Medicine, Hamad Medical Corporation, Doha, Qatar E-mail: FAlam1@hamad.qa.
  • Alamlih L; Division of Rheumatology, Department of Medicine, Hamad Medical Corporation, Doha, Qatar E-mail: FAlam1@hamad.qa.
  • Cackamvalli P; Division of Rheumatology, Department of Medicine, Hamad Medical Corporation, Doha, Qatar E-mail: FAlam1@hamad.qa.
  • Veettil S; Division of Rheumatology, Department of Medicine, Hamad Medical Corporation, Doha, Qatar E-mail: FAlam1@hamad.qa.
  • Awadh B; Division of Rheumatology, Department of Medicine, Hamad Medical Corporation, Doha, Qatar E-mail: FAlam1@hamad.qa.
  • Ibrahim M; Qatar University, Doha, Qatar.
  • Al Emadi S; Division of Rheumatology, Department of Medicine, Hamad Medical Corporation, Doha, Qatar E-mail: FAlam1@hamad.qa.
Qatar Med J ; 2022(2): 11, 2022.
Article in English | MEDLINE | ID: covidwho-1811102
ABSTRACT

BACKGROUND:

Severe COVID-19 is thought to be caused by immune overdrive and cytokine storm. One of the cytokine storm syndromes frequently induced by infections is secondary hemophagocytic lymphohistiocytosis (HLH) which can be assessed using H-score. In this study, we aimed to evaluate the rate of patients with COVID-19 who meet HLH criteria based on H-score and the association of H-score with poor outcomes.

METHODS:

In a prospective cohort study of 19 patients with COVID-19 requiring ICU stay from March to May, 2020, we collected demographic and clinical data that focused on H-score's variables and COVID-19 outcomes. H-score ≥ 169 was used to determine the percentage of patients who met the HLH criteria. Mann-Whitney, Kruskal-Wallis, and Spearman rho tests and multiple regression analyses were carried out to evaluate the associated factors. The optimal H-score cut-off to predict poor COVID-19 outcome (need for intubation ± ECMO) was determined using receiver operating characteristic (ROC) analysis.

RESULTS:

In 669 patients with severe COVID-19 with a mean ± SD age of 50.3 ± 12.8 years, which comprised 95% men; 66% required intubation, 4% ECMO, and 16% died. Only 2% had an H-score ≥ 169. Patients with poor outcomes had a higher mean (SD) H-score than those without; intubation (96.0 [50.0] vs 75.0 [35.0], p < 0.01), ECMO (113.0 [25.0] vs 93.0 [50.0], p < 0.01) and death (98.0 [62.0] vs 93.0 [48.0], p < 0.01). Factors associated with H-score were diabetes (ß coeff = - 10.4, p < 0.01), abdominal pain (ß coeff = 19.1, p < 0.01), duration of COVID-19 symptoms (ß coeff = - 0.7, p = 0.049), and days before ICU admission (ß coeff = - 1.2, p = 0.01). H-score showed a fair ability to discriminate COVID-19 outcomes (AUC 0.61, 95% CI 0.54-0.67). An H-score of 85 was the optimal cut-off with a sensitivity 69% and 1-specificity 53%.

CONCLUSION:

Despite its association with severity in COVID-19, H-score's ability to predict poor outcomes was only fair, indicating differences in the cytokine storm faced in COVID-19 compared with that during secondary HLH.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Language: English Journal: Qatar Med J Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Language: English Journal: Qatar Med J Year: 2022 Document Type: Article