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1.
Infection ; 2023 May 10.
Article in English | MEDLINE | ID: covidwho-2316006

ABSTRACT

PURPOSE: Tocilizumab, a monoclonal IL-6 receptor blocker, is an effective agent for severe-to-critical cases of COVID-19; however, its target patients for the optimum use need to be detailed. We performed a systematic review and meta-analysis to define its effect among severely ill but non-intubated cases with COVID-19. METHODS: We searched PubMed, Scopus, Web of Science, MEDLINE, Cochrane Central Register of Controlled Trials (CENTRAL), Medrxiv, and Biorxiv until February 13, 2022, for non-intubated cases, and included randomized-controlled trials (RCT) based on bias assessment. The primary outcomes were the requirement of invasive mechanical ventilation and mortality. Random effect and fixed-effect models were used. The heterogeneity was measured using the χ2 and I2 statistics, with χ2 p ≤ 0.05 and I2 ≥ 50% indicating the presence of significant heterogeneity. We registered the study to the International Prospective Register of Systematic Reviews (PROSPERO) with the registration number CRD42021232575. RESULTS: Among 261 articles, 11 RCTs were included. The pooled analysis of the 11 RCTs demonstrated that the rate of mortality was significantly lower in the tocilizumab group than in the control group (20.0% and 24.2%, OR: 0.84, 95% CI 0.73-0.96, and heterogeneity I2 = 0%. p = 0.82.). The mechanical ventilation rate was lower in the tocilizumab group than the control group (27% vs 35.2%, OR: 0.76, 95% CI 0.67-0.86, and heterogeneity I2 = 6%. p = 0.39). CONCLUSION: Among non-intubated severe COVID-19 cases, tocilizumab reduces the risk of invasive mechanical ventilation and mortality compared to standard-of-care treatment.

2.
Int Urol Nephrol ; 54(5): 1097-1104, 2022 May.
Article in English | MEDLINE | ID: covidwho-1782900

ABSTRACT

BACKGROUND: Acute kidney injury (AKI) in COVID-19 patients is associated with poor prognosis. However, the incidence, risk factors and potential outcomes of AKI in hospitalized patients are not well studied. MATERIALS AND METHODS:  This is a retrospective cohort study conducted in two major university hospitals. Electronic health records of the patients, 18 years or older, hospitalized between 13 April and 1 June 2020 with confirmed COVID-19 were reviewed. We described the incidence and the risk factors for AKI development in COVID-19 patients. Furthermore, we investigated the effects of AKI on the length of hospital and intensive care unit (ICU) stay, the admission rates to ICU, the percentage of patients with cytokine storm and in-hospital mortality rate. RESULTS: Among 770 hospitalized patients included in this study, 92 (11.9%) patients developed AKI. The length of hospitalized days (16 vs 9.9, p < 0.001) and days spent in the hospital until ICU admission (3.5 vs. 2.5, p = 0.003) were higher in the AKI group compared to patients without AKI. In addition, ICU admission rates were also significantly higher in patients with AKI (63% vs. 20.7%, p < 0.001). The percentage of patients with AKI who developed cytokine storm was significantly higher than patients without AKI (25.9% vs. 14%, p = 0.009). Furthermore, the in-hospital mortality rate was significantly higher in patients with AKI (47.2% vs. 4.7%, p < 0.001). CONCLUSIONS: AKI is common in hospitalized COVID-19 patients. Furthermore, we show that AKI increases the admission rates to ICU and in-hospital mortality. Our findings suggest that AKI should be effectively managed to prevent the adverse outcomes in COVID-19 patients.


Subject(s)
Acute Kidney Injury , COVID-19 , Acute Kidney Injury/epidemiology , Acute Kidney Injury/etiology , COVID-19/complications , Cytokine Release Syndrome , Hospital Mortality , Humans , Intensive Care Units , Retrospective Studies , Risk Factors
3.
Tuberk Toraks ; 69(4): 547-560, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1580008

ABSTRACT

Kidney transplant recipients and dialysis patients constitute a risk group for severe COVID-19. They are highly advised to get vaccinated according to the current guidelines. However, data on antibody response, cell responses and protection from events, and factors that might alter this response after a routine full series of vaccination remain incomplete for these populations. The aim of this article was to analyze the antibody responses after a full series of mRNA-based SARS-CoV-2 vaccination in kidney transplantation and dialysis patients and to define the factors that alter seroconversion status in these populations. In this systematic review, 18 studies investigating the antibody response to full vaccination with two doses of COVID-19 mRNA vaccines in hemodialysis, peritoneal dialysis, and kidney transplant patients were included. Kidney transplant and dialysis patients have a lower seroconversion rate after mRNA-based SARS-CoV-2 vaccination than the healthy population: 27.2% for kidney transplantation, 88.5% for dialysis patients while all healthy control in these studies seroconverted. Moreover, anti-S antibody titers were lower in seroconverted kidney transplantation or dialysis patients than in healthy control in all studies that assessed this variable. Older age and dialysis vintage, immunosuppressive or chemotherapy treatment, and lower serum albumin, white blood cell, lymphocyte and hemoglobin counts were associated with lower/no antibody response to vaccination. Dialysis patients and kidney transplant recipients have lower seroconversion rates after a full series of mRNA-based SARS-CoV-2 vaccination than the general population. Several factors are associated with an altered antibody response. A third dose could be considered in this patient group.


Subject(s)
COVID-19 , Kidney Transplantation , Aged , COVID-19 Vaccines , Humans , Renal Dialysis , SARS-CoV-2 , Vaccines, Synthetic , mRNA Vaccines
4.
Clin Microbiol Infect ; 27(1): 118-124, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-785394

ABSTRACT

OBJECTIVES: The case fatality rate (CFR) of coronavirus disease 2019 (COVID-19) varies significantly between countries. We aimed to describe the associations between health indicators and the national CFRs of COVID-19. METHODS: We identified for each country health indicators potentially associated with the national CFRs of COVID-19. We extracted data for 18 variables from international administrative data sources for 34 member countries of the Organization for Economic Cooperation and Development (OECD). We excluded the collinear variables and examined the 16 variables in multivariable analysis. A dynamic web-based model was developed to analyse and display the associations for the CFRs of COVID-19. We followed the Guideline for Accurate and Transparent Health Estimates Reporting (GATHER). RESULTS: In multivariable analysis, the variables significantly associated with the increased CFRs were percentage of obesity in ages >18 years (ß = 3.26; 95%CI = 1.20, 5.33; p 0.003), tuberculosis incidence (ß = 3.15; 95%CI = 1.09, 5.22; p 0.004), duration (days) since first death due to COVID-19 (ß = 2.89; 95%CI = 0.83, 4.96; p 0.008), and median age (ß = 2.83; 95%CI = 0.76, 4.89; p 0.009). The COVID-19 test rate (ß = -3.54; 95%CI = -5.60, -1.47; p 0.002), hospital bed density (ß = -2.47; 95%CI = -4.54, -0.41; p 0.021), and rural population ratio (ß = -2.19; 95%CI = -4.25, -0.13; p 0.039) decreased the CFR. CONCLUSIONS: The pandemic hits population-dense cities. Available hospital beds should be increased. Test capacity should be increased to enable more effective diagnostic tests. Older patients and patients with obesity and their caregivers should be warned about a potentially increased risk.


Subject(s)
COVID-19/epidemiology , COVID-19/mortality , Obesity/epidemiology , Obesity/mortality , Tuberculosis, Pulmonary/epidemiology , Tuberculosis, Pulmonary/mortality , Adult , Age Factors , Aged , Americas/epidemiology , Australia/epidemiology , COVID-19/diagnosis , COVID-19/pathology , COVID-19 Testing/statistics & numerical data , Comorbidity , Europe/epidemiology , Female , Hospital Bed Capacity/statistics & numerical data , Humans , Japan/epidemiology , Male , Middle Aged , Obesity/diagnosis , Obesity/pathology , Population Density , Rural Population , SARS-CoV-2/pathogenicity , Severity of Illness Index , Time Factors , Tuberculosis, Pulmonary/diagnosis , Tuberculosis, Pulmonary/pathology , Urban Population
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