Early predictive factors of progression from severe type to critical ill type in patients with Coronavirus Disease 2019: A retrospective cohort study

EXPLORING THE INFLUENCE OF NEUTROPHIL-LYMPHOCYTE RATIO ON OUTCOME PREDICTION OF SEVERELY-ILL PATIENTS WITH COVID-19

OBJECTIVE

The aim: The study conducted to have a better understanding on the role of neutrophil-lymphocyte ratio in the determination of the prognosis of COVID-19 and to assist in predicting disease severity.

PATIENTS AND METHODS

Materials and methods: A total of 96 patients within age group 18-80 years who were verified positive for the COVID-19 by PCR, and admitted to (Al-Sader Medical City) in Al-Najaf City between (July to October 2020) were enrolled in a cohort retrospective study, Neutrophil to lymphocyte ratio was calculated via taking the absolute neutrophil count divided by the absolute lymphocyte count. Other parameters like (renal function tests, D-dimer, C-reactive protein, serum ferritin) also has been studied in relation to outcome of patients with COVID-19.

RESULTS

Results: The Neutrophil-lymphocyte ratio was significantly associated with low oxygen saturation and poor outcome. A significant difference was found between two clusters in CRP, serum ferritin, and D-dimer level. In addition, age and obstructive airway disease were important clinical predictors for poor outcome.

CONCLUSION

Conclusions: The study was a useful prognostic marker linked with poor outcome in patients admitted for COVID-19 pneumonia. Other inflammatory markers, such as ferritin, CRP, and D-dimer were also associated with critical illness and increased mortality from COVID-19 disease.

Serum CK-MB, COVID-19 severity and mortality: An updated systematic review and meta-analysis with meta-regression

OBJECTIVES

We conducted a systematic review and meta-analysis with meta-regression of creatine kinase-MB (CK-MB), a biomarker of myocardial injury, in COVID-19 patients.

METHODS

We searched PubMed, Web of Science and Scopus, for studies published between January 2020 and January 2021 that reported CK-MB, COVID-19 severity and mortality (PROSPERO registration number: CRD42021239657).

RESULTS

Fifty-five studies in 11,791 COVID-19 patients were included in the meta-analysis. The pooled results showed that CK-MB concentrations were significantly higher in patients with high disease severity or non-survivor status than patients with low severity or survivor status (standardized mean difference, SMD, 0.81, 95% CI 0.61 to 1.01, p<0.001). The rate of patients with CK-MB values above the normal range was also significantly higher in the former than the latter (60/350 vs 98/1,780; RR ​= ​2.84, 95%CI 1.89 to 4.27, p<0.001; I² ​= ​19.9, p ​= ​0.254). Extreme between-study heterogeneity was observed (I² ​= ​93.4%, p<0.001). Sensitivity analysis, performed by sequentially removing each study and re-assessing the pooled estimates, showed that the magnitude and direction of the effect size was not modified (effect size range, 0.77 to 0.84). Begg's (p ​= ​0.50) and Egger's (p ​= ​0.86) t-tests did not show publication bias. In meta-regression analysis, the SMD was significantly and positively associated with the white blood count, aspartate aminotransferase, myoglobin, troponin, brain natriuretic peptide, lactate dehydrogenase, and D-dimer.

CONCLUSIONS

Higher CK-MB concentrations were significantly associated with severe disease and mortality in COVID-19 patients. This biomarker of myocardial injury might be useful for risk stratification in this group.

Characteristics of patients discharged and readmitted after COVID-19 hospitalisation within a large integrated health system in the United States

BACKGROUND

Limited studies have explored post-discharge outcomes following Coronavirus Disease 2019 (COVID-19) hospitalisation. We sought to characterise patients discharged following a COVID-19 hospitalisation within a large integrated health system in the United States.

METHODS

We performed a retrospective study of 2180 COVID-19 patients discharged between 1 April 2020 and 31 July 2020. The primary endpoint was all-cause observation stay or inpatient readmission within 30 days from discharge. Bivariate and multivariable logistic regression analyses were performed to estimate the association between key socio-demographic and clinical characteristics with risk of 30-day readmission.

RESULTS

The 30-day readmission rate was 7.6% (n = 166); 30-day mortality rate was 1% (n = 19). Most readmissions were respiratory-related (58%) and occurred at a median time of 5 days post discharge. Adjusted models showed that prior hospitalisations (Odds Ratio = 2.36, [95% Confidence Interval: 1.59-3.50]), chronic pulmonary disease (1.57 [1.09-2.28]), and discharge to home health (1.46 [1.01-2.11]) were significantly associated with 30-day readmission. Longer duration from diagnosis to index admission was borderline associated with lower odds of readmission (0.95 [0.91-1.00]).

CONCLUSION

Readmission and mortality rates for COVID-19 following discharge are low. Most readmissions occur early and are due to respiratory causes and may reflect the prolonged acute disease course.