Ferritin and Hemoglobin as Predictors of Fatal Outcome in COVID-19: Two Sides of the Same Coin.

INTRODUCTION: Infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have multisystemic involvement with hyperinflammation being a cardinal feature and deranged iron metabolism having a possible role. In this premise, we studied the prognostic value of two markers of iron metabolism ferritin and hemoglobin. METHODOLOGY: A retrospective-cohort study was carried out in a tertiary hospital in northern India involving 210 hospitalized COVID-19 patients aged 15-and above. Analysis was done for clinical profile, comorbidities and basic laboratory indices including ferritin-hemoglobin ratio (FHR) with primary end-point being in-hospital all-cause mortality. RESULTS: Median serum ferritin levels (640.00ng/mL vs 220.00ng/mL) were significantly higher among non-survivors as against survivors while median hemoglobin levels were significantly lower (12.12g/dL vs 13.73g/dL). Serum ferritin levels >400ng/mL (Sn 80%, Sp 70%) predicted mortality with high sensitivity and specificity. Notably, serum ferritin levels >400ng/mL (HR 11.075 [1.481-82.801]) and anemia, defined as a hemoglobin of <12g/dL for females and < 13g/dL for males and were significantly associated with the risk of mortality in a univariable Cox-proportional hazards regression. The median FHR was significantly higher among non-survivors compared to survivors (56.98 vs 17.17). FHR>31 (Sn 85% Sp 71.6%) was highly sensitive and specific for predicting mortality. The multivariable analysis indicated that FHR >31 remained an independent risk factor for mortality (HR 12.293 [3.147-48.028]). CONCLUSION: Ferritin-hemoglobin ratio (FHR), which encompasses into a single index, the effects of both elevated levels of ferritin and the severity of anemia, seems to perform particularly well as a prognostic marker and emerged as an independent risk factor for mortality in COVID-19 patients. Hyperferritinemia and anemia, both, are inexorably interlinked in addition to having a role, directly or indirectly in the disease pathophysiology. Ferritin and hemoglobin, hence should be seen as two sides of the same coin rather than as two discrete entities.

Clinical characteristics and clinical predictors of mortality in hospitalised patients of COVID 19 : An Indian study.

BACKGROUND: The rapid spread of the coronavirus disease 2019 (COVID-19) with high mortality rate necessitates disease characterization and accurate prognostication for prompt clinical decision-making. The aim of this study is to study clinical characteristics and predictors of mortality in hospitalized patients with COVID-19 in India. METHODS: Retrospective cohort study was conducted in a tertiary care hospital in northern India. All consecutive confirmed hospitalized COVID-19 cases aged 15 years and older from 13 Apr till 31 Aug 2020 are included. Primary end point was 30-day mortality. RESULTS: Of 1622 patients ,1536 cases were valid. Median age was 36 years, 88.3% were men and 58.1% were symptomatic. Fever (37.6%) was commonest presenting symptom. Dyspnea was reported by 15.4%. Primary hypertension (8.5%) was commonest comorbidity, followed by diabetes mellitus (6.7%). Mild, moderate, and severe hypoxemia were seen in 3.4%, 4.3%, and 0.8% respectively. Logistic regression showed greater odds of moderate/severe disease in patients with dyspnea, hypertension, Chronic Kidney Disease (CKD), and malignancy. Seventy six patients died (4.9%). In adjusted Cox proportional hazards model for mortality, patients with dyspnea (hazard ratio [HR]: 14.449 [5.043-41.402]), altered sensorium (HR: 2.762 [1.142-6.683]), Diabetes Mellitus (HR: 1.734 [1.001-3.009]), malignancy (HR:10.443 [4.396-24.805]) and Chronic Liver Disease (CLD) (HR: 14.432 [2.321-89.715]) had higher risk. Rising respiratory rate (HR: 1.098 [1.048-1.150]), falling oxygen saturation (HR: 1.057 per unit change 95% CI: 1.028-1.085) were significant predictors. CONCLUSION: Analysis suggests that age, dyspnea, and malignancy were associated with both severe disease and mortality. Diabetes Mellitus and Chronic Liver Disease were associated with increased the risk of fatal outcome. Simple clinical parameters such as respiratory rate and oxygen saturation are strong predictors and with other risk factors at admission can be effectively used to triage patients.