Risk Factors for Mortality in 220 Patients With COVID-19 in Wuhan, China: A Single-Center, Retrospective Study

Zhou, Shaosheng; Mi, Sulin; Luo, Shuilian; Wang, Ying; Ren, Bin; Cai, Lin; Wu, Meng

doi:10.1177/0145561320972608

Cited by 18 publications

(16 citation statements)

References 18 publications

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“…In our series, the rate is 23% for patients admitted to the ICU, close to the 21% found in our first study (1) but much lower than the rates exceeding 45% reported by other authors [2,13,14]. Old age and the presence of comorbidity have been identified as risk factors for mortality by various authors [10,[14][15][16]. In our study, the mortality rate is higher in patients over 60 years of age; therefore, the age is an independent risk factor.…”

Section: Figure 1: Roc Curve For Ferritin At Admission and Mortalitysupporting

confidence: 78%

Association between Ferritin and COVID-19 Mortality in 1310 Moroccan Patients

Mourji¹,

Abouelfath²,

Abassor³

et al. 2022

Cross Current Int J Med Biosci

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The clinical picture of SARS-CoV-2 infection is variable, ranging from moderate to severe and critical forms. Various studies have shown that disturbances in certain biochemical parameters are correlated with the severity of the disease. They can be used to predict the risk of complications, allowing early and appropriate care of these patients. The aim of our study is to evaluate the correlation between admission ferritin levels and mortality in COVID-19 patients. We used data from the records of patients with positive RT-PCR admitted to the Mohamed V Military Training Hospital in Rabat between april 2020 and december 2021. Demographic and biologic data were exctracted from DxLab LIS of Dedalus. 1.310 patients are included; the average age is 56 years and 72% of patients are male. The all-cause mortality of seriously ill hospitalized patients in the intensive care units are 23%. 73% of patients who died were over 60 years. The mean ferritinemia at admission was 2040 ng/ml for patients who died versus 521 ng/ml for the survivors (p <0.01). The AUC of the ROC curve for ferritin levels predicting all-cause mortality is 0.745. The threshold of 800 ng/ml allows a sensitivity of 72% and a specificity of 30%. Logistic regression analysis showed that ferritin levels above 800 ng/ml and age above 60 years are risk factors for mortality (p<0.01) independently of each other. At hospitalisation of COVID-19 patients, high ferritin levels would be correlated with a bad prognosis justifying an early and adapted care of these patients.

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Section: Figure 1: Roc Curve For Ferritin At Admission and Mortalitysupporting

confidence: 78%

Association between Ferritin and COVID-19 Mortality in 1310 Moroccan Patients

Mourji¹,

Abouelfath²,

Abassor³

et al. 2022

Cross Current Int J Med Biosci

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“…Thus, the measurement of blood oxygen saturation is a standard screening tool in clinical settings to assess the performance of the respiratory system [ 54 , 55 ]. Low oxygen saturation and elevated respiratory rate have been consistently associated with disease severity in patients hospitalized with COVID-19 [ 56 , 57 , 58 , 59 ]. Measurement of oxygen saturation is one of the critical indications for monitoring patients with COVID-19.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Clinical Profile and Treatment Outcome in Vaccinated and Unvaccinated SARS-CoV-2 Infected Patients

et al. 2022

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Vaccines against severe acute respiratory syndrome-corona virus-2 (SARS-CoV-2) infection, which causes coronavirus disease–19 (COVID-19) in humans, have been developed and are being tested for safety and efficacy. We conducted the cross-sectional prospective cohort study on 820 patients who were positive for SARS-CoV-2 and were admitted to Princess Krishnajammanni trauma care centre (PKTCC), Mysore, which was converted to a designated COVID hospital between April 2021 to July 2021. After obtaining the informed consent, RT-PCR report, vaccination certificate and patient history, patients were classified according to their vaccination status. Results from the study showed decreases in serum ferritin levels, clinical symptoms, improvement in oxygen saturation, early recovery in patients having diabetes and hypertension, and a substantial reduction in the overall duration of hospital stay in vaccinated patients compared to unvaccinated patients. Further, fully vaccinated patients showed better outcomes compared to single dose vaccinated and nonvaccinated patients. Taken together, our findings reaffirm the vaccine’s effectiveness in reducing case fatality and promoting faster recovery compared to nonvaccinated patients. Efforts to increase the number of immunized subjects in the community help to achieve herd immunity and offer protection against the severity of COVID-19 and associated complications while minimizing the public health and economic burden.

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“…We further excluded 612 studies due to studies without our concerned outcomes ( n = 371), studies without dichotomous D-dimer ( n = 128), review and meta-analyses ( n = 55) and other reasons including duplicates, letters, and comments ( n = 12). Finally, a total of 66 studies involving 40,614 COVID-19 patients were included in our meta-analysis ( 9 , 13 , 26 – 89 ).…”

Section: Resultsmentioning

confidence: 99%

Clinical Significance of Plasma D-Dimer in COVID-19 Mortality

Yayun

Deng

et al. 2021

Front. Med.

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It is not clear whether D-dimer can be an independent predictor of coronavirus disease 2019 (COVID-19) mortality, and the cut-off of D-dimer for clinical use remains to be determined. Therefore, a comprehensive analysis is still necessary to illuminate the clinical significance of plasma D-dimer in COVID-19 mortality. We searched PubMed, Embase, Cochrane Library, and Scopus databases until November 2020. STATA software was used for all the statistical analyses. The identifier of systematic review registration was PROSPERO CRD42020220927. A total of 66 studies involving 40,614 COVID-19 patients were included in our meta-analysis. Pooled data showed that patients in high D-dimer group had poor prognosis than those in low D-dimer group [OR = 4.52, 95% CI = (3.61, 5.67), P < 0.001; HR = 2.81, 95% CI = (1.85, 4.27), P < 0.001]. Sensitivity analysis, pooled data based on different effect models and the Duval and Tweedie trim-and-fill method did not change the conclusions. Subgroup analyses stratified by different countries, cutoffs, sample size, study design, and analysis of OR/HR still keep consistent conclusions. D-dimer was identified as an independent predictor for COVID-19 mortality. A series of values including 0.5 μg/ml, 1 μg/ml, and 2 μg/ml could be determined as cutoff of D-dimer for clinic use. Measurement and monitoring of D-dimer might assist clinicians to take immediate medical actions and predict the prognosis of COVID-19.

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Risk Factors for Mortality in 220 Patients With COVID-19 in Wuhan, China: A Single-Center, Retrospective Study

Cited by 18 publications

References 18 publications

Association between Ferritin and COVID-19 Mortality in 1310 Moroccan Patients

Association between Ferritin and COVID-19 Mortality in 1310 Moroccan Patients

Assessment of Clinical Profile and Treatment Outcome in Vaccinated and Unvaccinated SARS-CoV-2 Infected Patients

Clinical Significance of Plasma D-Dimer in COVID-19 Mortality

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