Assessing the impact of coronavirus disease 2019 on mortality: a population-based,matched case-control study

ObjectivesEstimating the isolated effect of coronavirus disease 2019 (COVID-19) on the risk of mortality is challenging. We aimed to determine whether COVID-19 was associated with high rates of mortality independently of age, sex and underlying disorders.MethodsA population-based, matched, case-control study of adults insured by Clalit Health Services was performed. Cases were defined as patients who died of all causes between July and December 2020. Each case was matched in a ratio of 1:1 with a living control based on age, sex and co-morbidities. An unconditional logistic regression analysis was performed to identify independent risk factors for mortality.ResultsA total of 2874 patients who died were successfully matched with 2874 living controls. The prevalence of COVID-19 was higher among the patients who died than among the controls (13.5% [387/2874] vs. 4% [115/2874], respectively; OR, 3.73; 95% CI, 3.01–4.63; p < 0.001). A significantly increased odds of mortality was also observed in patients with COVID-19 without underlying diseases (OR, 3.67; 95% CI, 2.58–5.23) and in patients with COVID-19 and underlying diseases (OR, 3.77; 95% CI, 2.87–4.94). A multi-variate logistic analysis showed that COVID-19 (OR, 2.01; 95% CI, 1.07–3.77), low socio-economic status (OR, 1.36; 95% CI, 1.02–1.82), dementia (OR, 2.50; 95% CI, 2.10–3.01), smoking (OR, 1.35; 95% CI, 1.13–1.63) and an interaction variable of age >80 years and COVID-19 (OR, 2.27; 95% CI, 1.14–4.54) were independent risk factors for mortality, whereas influenza vaccination and high body mass index were associated with lower rates of mortality.ConclusionTesting positive for COVID-19 increased the risk of death three folds, regardless of underlying disorders. These results emphasize the effect of COVID-19 on mortality during the early period of the COVID-19 outbreak, when no vaccines or effective therapeutics were available.     

Clinical characteristics,management and in-hospital mortality of patients with coronavirus disease 2019 in Genoa,Italy

ObjectivesTo describe clinical characteristics, management and outcome of individuals with coronavirus disease 2019 (COVID-19); and to evaluate risk factors for all-cause in-hospital mortality.MethodsThis retrospective study from a University tertiary care hospital in northern Italy, included hospitalized adult patients with a diagnosis of COVID-19 between 25 February 2020 and 25 March 2020.ResultsOverall, 317 individuals were enrolled. Their median age was 71 years and 67.2% were male (213/317). The most common underlying diseases were hypertension (149/317; 47.0%), cardiovascular disease (63/317; 19.9%) and diabetes (49/317; 15.5%). Common symptoms at the time of COVID-19 diagnosis included fever (285/317; 89.9%), shortness of breath (167/317; 52.7%) and dry cough (156/317; 49.2%). An ‘atypical’ presentation including at least one among mental confusion, diarrhoea or nausea and vomiting was observed in 53/317 patients (16.7%). Hypokalaemia occurred in 25.8% (78/302) and 18.5% (56/303) had acute kidney injury. During hospitalization, 111/317 patients (35.0%) received non-invasive respiratory support, 65/317 (20.5%) were admitted to the intensive care unit (ICU) and 60/317 (18.5%) required invasive mechanical ventilation. All-cause in-hospital mortality, assessed in 275 patients, was 43.6% (120/275). On multivariable analysis, age (per-year increase OR 1.07; 95% CI 1.04–1.10; p < 0.001), cardiovascular disease (OR 2.58; 95% CI 1.07–6.25; p 0.03), and C-reactive protein levels (per-point increase OR 1.009; 95% CI 1.004–1.014; p 0.001) were independent risk factors for all-cause in-hospital mortality.ConclusionsCOVID-19 mainly affected elderly patients with predisposing conditions and caused severe illness, frequently requiring non-invasive respiratory support or ICU admission. Despite supportive care, COVID-19 remains associated with a substantial risk of all-cause in-hospital mortality.     

Predictors of progression from moderate to severe coronavirus disease 2019: a retrospective cohort

ObjectiveMost cases of coronavirus disease 2019 (COVID-19) are identified as moderate, which is defined as having a fever or dry cough and lung imaging with ground-glass opacities. The risk factors and predictors of prognosis in such cohorts remain uncertain.MethodsAll adults with COVID-19 of moderate severity diagnosed using quantitative RT-PCR and hospitalized at the Central Hospital of Wuhan, China, from 1 January to 20 March 2020 were enrolled in this retrospective study. The main outcomes were progression from moderate to severe or critical condition or death.ResultsAmong the 456 enrolled patients with moderate COVID-19, 251/456 (55.0%) had poor prognosis. Multivariate logistic regression analysis identified higher neutrophil count: lymphocyte count ratio (NLR) on admission (OR 1.032, 95% CI 1.042–1.230, p 0.004) and higher C-reactive protein (CRP) on admission (OR 3.017, 95% CI 1.941–4.690, p < 0.001) were associated with increased OR of poor prognosis. The area under the receiver operating characteristic curve (AUC) for NLR and CRP in predicting progression to critical condition was 0.77 (95% CI 0.694–0.846, p < 0.001) and 0.84 (95% CI 0.780–0.905, p < 0.001), with a cut-off value of 2.79 and 25.95 mg/L, respectively. The AUC of NLR and CRP in predicting death was 0.81 (95% CI 0.732–0.878, p < 0.001) and 0.89 (95% CI 0.825–0.946, p < 0.001), with a cut-off value of 3.19 and 33.4 mg/L, respectively.ConclusionsHigher levels of NLR and CRP at admission were associated with poor prognosis of individuals with moderate COVID-19. NLR and CRP were good predictors of progression to critical condition and death.     

Clinical outcome in solid organ transplant recipients affected by COVID-19 compared to general population: a systematic review and meta-analysis

BackgroundA significant increased risk of complications and mortality in immunocompromised patients affected by COVID-19 has been described. However, the impact of COVID-19 in solid organ transplant (SOT) recipients is an issue still under debate, due to conflicting evidence that has emerged from different observational studies.ObjectivesWe performed a systematic review with a meta-analysis to assess the clinical outcome in SOT recipients with COVID-19 compared with the general population.Data sourcesPubMed-MEDLINE and Scopus were independently searched until 13 October 2021.Study eligibility criteriaProspective or retrospective observational studies comparing clinical outcome in SOT recipients versus general populations affected by COVID-19 were included. The primary endpoint was 30-day mortality.ParticipantsParticipants were patients with confirmed COVID-19.InterventionsInterventions reviewed were SOTs.MethodsThe quality of the included studies was independently assessed with the Risk of Bias in Non-randomized Studies of Interventions tool for observational studies. The meta-analysis was performed by pooling ORs retrieved from studies providing adjustment for confounders using a random-effects model with the inverse variance method. Multiple subgroups and sensitivity analyses were conducted to investigate the source of heterogeneity.ResultsA total of 3501 articles were screened, and 31 observational studies (N = 590 375; 5759 SOT recipients vs. 584 616 general population) were included in the meta-analyses. No difference in 30-day mortality rate was found in the primary analysis, including studies providing adjustment for confounders (N = 17; 3752 SOT recipients vs. 159 745 general population; OR: 1.13; 95% CI, 0.94–1.35; I² = 33.9%). No evidence of publication bias was reported. A higher risk of intensive care unit admission (OR: 1.56; 95% CI, 1.03–2.63) and occurrence of acute kidney injury (OR: 2.50; 95% CI, 1.81–3.45) was found in SOT recipients.ConclusionsNo increased risk in mortality was found in SOT recipients affected by COVID-19 compared with the general population when adjusted for demographic and clinical features and COVID-19 severity.     

The impact of COVID 19 on the outcomes of thrombectomy in stroke patients: A systematic review and meta-analysis

We aimed to conduct the current meta-analysis to provide better insight into the efficacy of mechanical thrombectomy (MT) in managing COVID-19 patients suffering from a stroke. An electronic search was conducted through eight databases for collecting the current evidence about the efficacy of MT in stroke patients with COVID-19 until 18 December 2021. The results were reported as the pooled prevalence rates and the odds ratios (ORs), with their corresponding 95% confidence intervals (CI). Out of 648 records, we included nine studies. The prevalence of stroke patients with COVID-19 who received MT treatment was with TICI ≥2b 79% (95%CI: 73–85), symptomatic intracranial haemorrhage 6% (95%CI: 3–11), parenchymal haematoma type 1, 11.1% (95%CI: 5–23), and mortality 29% (95%CI: 24–35). On further comparison of MT procedure between stroke patients with COVID 19 to those without COVID-19, we found no significant difference in terms of TICI ≥2b score (OR: 0.85; 95%CI: 0.03–23; p = 0.9). However, we found that stroke patients with COVID-19 had a significantly higher mortality rate than stroke patients without COVID-19 after MT procedure (OR: 2.99; 95%CI: 2.01–4.45; p < 0.001). Stroke patients with COVID-19 can be safely and effectively treated with MT, with comparable reperfusion and complication rates to those without the disease.     

Genetic predisposition to blood cell indices in relation to severe COVID-19

Despite considerable variation in disease manifestations observed among coronavirus disease 2019 (COVID-19) patients infected with severe acute respiratory syndrome coronavirus 2, the risk factors predicting disease severity remain elusive. Recent studies suggest that peripheral blood cells play a pivotal role in COVID-19 pathogenesis. Here, we applied two-sample Mendelian randomization (MR) analyses to evaluate the potential causal contributions of blood cell indices variation to COVID-19 severity, using single-nucleotide polymorphisms (SNPs) as instrumental variables for 17 indices from the UK Biobank and INTERVAL genome-wide association studies (N = 173 480). Data on the associations between the SNPs and very severe respiratory confirmed COVID-19 were obtained from the COVID-19 host genetics initiative (N = 8779/1 001 875). We observed significant negative association between hematocrit (HCT; odds ratio, OR = 0.775, 95% confidence interval, CI = 0.635–0.915, p = 3.48E−04) or red blood cell count (OR = 0.830, 95% CI = 0.728–0.932, p = 2.19E−03) and very severe respiratory confirmed COVID-19, as well as nominal negative association of hemoglobin concentration (OR = 0.808, 95% CI = 0.673–0.943, p = 3.95E−03) with very severe respiratory confirmed COVID-19 (no effect survived multiple correction). In conclusion, the MR study supports a protective effect of high HCT and red blood cell count from very severe respiratory confirmed COVID-19, suggesting potential strategies to ameliorate/treat clinical conditions in very severe respiratory confirmed COVID-19.     

Impact of prior statin use on clinical outcomes in COVID-19 patients: data from tertiary referral hospitals during COVID-19 pandemic in Italy

BackgroundEpidemiological evidence suggests that anti-inflammatory and immunomodulatory properties of statins may reduce the risk of infections and infection-related complications.ObjectiveWe aimed to assess the impact of prior statin use on coronavirus disease (COVID-19) severity and mortality.MethodsIn this observational multicenter study, consecutive patients hospitalized for COVID-19 were enrolled. In-hospital mortality and severity of COVID-19 assessed with National Early Warning Score (NEWS) were deemed primary and secondary outcomes, respectively. Propensity score (PS) matching was used to obtain balanced cohorts.ResultsAmong 842 patients enrolled, 179 (21%) were treated with statins before admission. Statin patients showed more comorbidities and more severe COVID-19 (NEWS 4 [IQR 2–6] vs 3 [IQR 2–5], p < 0.001). Despite having similar rates of intensive care unit admission, noninvasive ventilation, and mechanical ventilation, statin users appeared to show higher mortality rates. After balancing pre-existing relevant clinical conditions that could affect COVID-19 prognosis with PS matching, statin therapy confirmed its association with a more severe disease (NEWS ≥5 61% vs. 48%, p = 0.025) but not with in-hospital mortality (26% vs. 28%, p = 0.185). At univariate logistic regression analysis, statin use was confirmed not to be associated with mortality (OR 0.901; 95% CI: 0.537 to 1.51; p = 0.692) and to be associated with a more severe disease (NEWS≥5 OR 1.7; 95% CI 1.067–2.71; p = 0.026).ConclusionsOur results did not confirm the supposed favorable effects of statin therapy on COVID-19 outcomes. Conversely, they suggest that statin use should be considered as a proxy of underlying comorbidities, which indeed expose to increased risks of more severe COVID-19.     

COVID-19 and geographical area of origin

ObjectivesTo describe and compare the main clinical characteristics and outcome measures in hospitalized patients with confirmed coronavirus disease 2019 (COVID-19) according to geographical area of origin.MethodsA retrospective analysis of patients hospitalized with confirmed COVID-19 at a referral centre in Madrid, Spain, during March–May 2020 was performed. Recorded variables (age, gender, intensive care unit (ICU) admission, outcome), and geographical area of origin were compared for Europeans and non-Europeans (Latin Americans, Asians and Africans).ResultsIn total, 2345 patients with confirmed COVID-19 hospitalized during the study period were included in the study. Of these, 1956 (83.4%) were European and 389 (16.6%) were non-European (of whom over 90%, 354/389, were Latin American). Non-Europeans were significantly younger than Europeans (mean 54 (SD 13.5) versus 70.4 (SD 15.1) years, p < 0.001); the majority were male (1420/2345, 60.6%), with no significant differences in gender between Europeans and non-Europeans (1197/1956 (61.2%) male in the European group versus 223/389 (57.3%) male in the non-European group, p 0.15). In-hospital mortality overall was higher in Europeans (443/1956, 22.7%) than in non-Europeans (40/389, 10.3%) (p < 0.001), but there were no significant differences when adjusted for age/gender (OR 1.27, 95% CI 0.86–1.88). Non-Europeans were more frequently admitted to ICU (71/389, 18.3%) compared with Europeans (187/1956, 9.6%) (p < 0.001) and a difference in ICU admission rate was also found when adjusted for age/gender (OR 1.43, 95% CI 1.03–1.98).ConclusionsNo significant differences in mortality were observed between Europeans and non-Europeans (mainly Latin Americans), but an increase in ICU admission rate was found in non-Europeans.     

Effectiveness of remdesivir with corticosteroids for COVID-19 patients in intensive care unit: A hospital-based observational study

The effectiveness of remdesivir on survival in coronavirus disease 2019 (COVID-19), especially in cases treated in the intensive care unit (ICU), is controversial. We investigated the effectiveness of remdesivir with corticosteroids on the survival of COVID-19 patients in a real ICU clinical practice. For laboratory-confirmed COVID-19 patients admitted to the ICU of a tertiary hospital in Tokyo (April 2020–November 2021) and who received corticosteroids, the effectiveness of remdesivir for survival, stratified by interval length (within 9 or 10+ days), was retrospectively analyzed using Cox regression model. A total of 168 patients were included: 35 with no remdesivir use (control), 96 with remdesivir use within 9 days, and 37 with remdesivir use with an interval of 10+ days. In-hospital mortality was 45.7%, 10.4%, and 16.2%, respectively. After adjusting for possible covariates including comorbidities, laboratory data, oxygen demand, or level of pneumonia, remdesivir use within 9 days from symptom onset reduced mortality risk (hazard ratio [HR]: 0.10; 95% confidence interval (CI): 0.025–0.428) compared to the control group. However, remdesivir use with an interval of 10+ days showed no significant association with mortality (HR: 0.42; 95% CI: 0.117–1.524). Among COVID-19 patients who received corticosteroids in ICU, remdesivir use within 9 days from symptom onset was associated with reduced in-hospital mortality risk.     

COVID-19 susceptibility and clinical outcomes in inflammatory bowel disease: An updated systematic review and meta-analysis

The susceptibility, risk factors, and prognosis of COVID-19 in patients with inflammatory bowel disease (IBD) remain unknown. Thus, our study aims to assess the prevalence and clinical outcomes of COVID-19 in IBD. We searched PubMed, EMBASE, and medRxiv from 2019 to 1 June 2022 for cohort and case-control studies comparing the prevalence and clinical outcomes of COVID-19 in patients with IBD and in the general population. We also compared the outcomes of patients receiving and not receiving 5-aminosalicylates (ASA), tumour necrosis factor antagonists, biologics, systemic corticosteroids, or immunomodulators for IBD. Thirty five studies were eligible for our analysis. Pooled odds ratio of COVID-19-related hospitalisation, intensive care unit (ICU) admission, or death in IBD compared to in non-IBD were 0.58 (95% confidence interval (CI) = 0.28–1.18), 1.09 (95% CI = 0.27–4.47), and 0.67 (95% CI = 0.32–1.42), respectively. Inflammatory bowel disease was not associated with increased hospitalisation, ICU admission, or death. Susceptibility to COVID-19 did not increase with any drugs for IBD. Hospitalisation, ICU admission, and death were more likely with 5-ASA and corticosteroid use. COVID-19-related hospitalisation (Odds Ratio (OR): 0.53; 95% CI = 0.38–0.74) and death (OR: 0.13; 95% CI = 0.13–0.70) were less likely with Crohn's disease than ulcerative colitis (UC). In conclusion, IBD does not increase the mortality and morbidity of COVID-19. However, physicians should be aware that additional monitoring is needed in UC patients or in patients taking 5-ASA or systemic corticosteroids.     

Obesity,diabetes, hypertension and severe outcomes among inpatients with coronavirus disease 2019: a nationwide study

ObjectivesInitial studies of individuals with coronavirus disease 2019 (COVID-19) revealed that obesity, diabetes and hypertension were associated with severe outcomes. Subsequently, some authors showed that the risk could vary according to age, gender, co-morbidities and medical history. In a nationwide retrospective cohort, we studied the association between these co-morbidities and patients' requirement for invasive mechanical ventilation (IMV) or their death.MethodsAll French adult inpatients with COVID-19 admitted during the first epidemic wave (February to September 2020) were included. When patients were diagnosed with obesity, diabetes or hypertension for the first time in 2020, these conditions were considered as incident co-morbidities, otherwise they were considered prevalent. We compared outcomes of IMV and in-hospital death according to obesity, diabetes and hypertension, taking age, gender and Charlson's co-morbidity index score (CCIS) into account.ResultsA total of 134 209 adult inpatients with COVID-19 were included, half of them had hypertension (n = 66 613, 49.6%), one in four were diabetic (n = 32 209, 24.0%), and one in four were obese (n = 32 070, 23.9%). Among this cohort, IMV was required for 13 596 inpatients, and 19 969 patients died. IMV and death were more frequent in male patients (adjusted oods ratio (aOR) 2.0, 95% CI 1.9–2.1 and aOR 1.5, 95% CI 1.4–1.5, respectively), IMV in patients with co-morbidities (aOR 2.1, 95% CI 2.0–2.2 for CCIS = 2 and aOR 3.0, 95% CI 2.8–3.1 for CCIS ≥5), and death in patients aged 80 or above (aOR 17.0, 95% CI 15.5–18.6). Adjusted on age, gender and CCIS, death was more frequent among inpatients with obesity (aOR 1.2, 95% CI 1.1–1.2) and diabetes (aOR 1.2, 95% CI 1.1–1.2). IMV was more frequently necessary for inpatients with obesity (aOR 1.9, 95% CI 1.8–2.0), diabetes (aOR 1.4, 95% CI 1.3–1.4) and hypertension (aOR 1.7, 95% CI 1.6–1.8). Comparatively, IMV was more often required for patients with the following incident co-morbidities: obesity (aOR 3.5, 95% CI 3.3–3.7), diabetes (aOR 2.0, 95% CI 1.8–2.1) and hypertension (aOR 2.5, 95% CI 2.4–2.6).ConclusionsAmong 134 209 inpatients with COVID-19, mortality was more frequent among patients with obesity and diabetes. IMV was more frequently necessary for inpatients with obesity, diabetes and hypertension. Patients for whom these were incident co-morbidities were particularly at risk. Specific medical monitoring and vaccination should be priorities for patients with these co-morbidities.     

Risk factors for disease severity,unimprovement, and mortality in COVID-19 patients in Wuhan,China

ObjectiveIn December 2019, coronavirus disease (COVID-19) emerged in Wuhan. However, the characteristics and risk factors associated with disease severity, unimprovement and mortality are unclear and our objective is to throw some light on these.MethodsAll consecutive patients diagnosed with COVID-19 admitted to the Renmin Hospital of Wuhan University from January 11 to February 6, 2020, were enrolled in this retrospective cohort study.ResultsA total of 663 COVID-19 patients were included in this study. Among these, 247 (37.3%) had at least one kind of chronic disease; 0.5% of the patients (n = 3) were diagnosed with mild COVID-19, while 37.8% (251/663), 47.5% (315/663), and 14.2% (94/663) were in moderate, severe, and critical conditions, respectively. In our hospital, during follow-up 251 of 663 patients (37.9%) improved and 25 patients died, a mortality rate of 3.77%. Older patients (>60 years old) and those with chronic diseases were prone to have a severe to critical COVID-19 condition, to show unimprovement, and to die (p <0.001, <0.001). Multivariate logistic regression analysis identified being male (OR = 0.486, 95%CI 0.311–0.758; p 0.001), having a severe COVID-19 condition (OR = 0.129, 95%CI 0.082–0.201; p <0.001), expectoration (OR = 1.796, 95%CI 1.062–3.036; p 0.029), muscle ache (OR = 0.309, 95%CI 0.153–0.626; p 0.001), and decreased albumin (OR = 1.929, 95%CI 1.199–3.104; p 0.007) as being associated with unimprovement in COVID-19 patients.ConclusionMale sex, a severe COVID-19 condition, expectoration, muscle ache, and decreased albumin were independent risk factors which influence the improvement of COVID-19 patients.     

Association between antecedent statin use and severe disease outcomes in COVID-19: A retrospective study with propensity score matching

BackgroundStatins have been associated with a reduction in inflammatory markers and improved endothelial function. Whether statins offer any benefit in COVID-19 needs to be elucidated.ObjectiveTo determine the association between antecedent statin use and severe disease outcomes among COVID-19 patients.MethodsA retrospective cohort study on 1014 patients with confirmed COVID-19 diagnosis. Outcomes were mortality, need for mechanical ventilation, and intensive care admission. Patients were classified into statin-users vs statin non-users based on antecedent use of statins. Multivariable regression analysis was performed adjusting for confounders such as age, sex, race, BMI, smoking, insurance, and comorbidities. Propensity score matching was performed to achieve a 1:1 balanced cohort.ResultsA total of 1014 patients (Median age 65 (IQR 53–73); 530 (52.3%) males; 753 (74.3%) African Americans; median BMI 29.4 (IQR 25.1–35.9); 615 (60.7%) with Medicare insurance) were included in the study. About 454 patients (44.77%) were using statins as home medication. Antecedent statin use was associated with significant decrease in mortality in the total cohort (OR, 0.66; 95% CI, 0.46 – 0.95; p = 0.03). Among the propensity score matched (PSM) cohort of 466 patients (233 statin users and 233 statin non-users), all the baseline characteristics had similar distribution among the two groups. Statin users had significant reduction in mortality in the PSM cohort as well (OR, 0.56; 95% CI, 0.37 – 0.83; p = 0.004).ConclusionsStatin use was associated with significant reduction in mortality among COVID-19 patients. These findings support the pursuit of randomized clinical trials to explore the possible benefits of statins in COVID-19.     

Obesity predisposes to the risk of higher mortality in young COVID-19 patients

Although emerging data demonstrated mortality of young COVID-19 patients, no data have reported the risk factors of mortality for these young patients, and whether obesity is a risk for young COVID-19 patients remains unknown. We conducted a retrospective study including 13 young patients who died of COVID-19 and 40 matched survivors. Logistic regression was employed to characterize the risk factors of mortality in young obese COVID-19 patients. Most of the young deceased COVID-19 patients were mild cases at the time of admission, but the disease progressed rapidly featured by a higher severity of patchy shadows (100.00% vs 48.70%; P = .006), pleural thickening (61.50% vs 12.80%; P = .012), and mild pericardial effusion (76.90% vs 0.00%; P < .001). Most importantly, the deceased patients manifested higher body mass index (odds ratio [OR] = 1.354; 95% confidence interval [CI] = 1.075-1.704; P = .010), inflammation-related index C-reactive protein (OR = 1.014; 95% CI = 1.003-1.025; P = .014), cardiac injury biomarker hs-cTnI (OR = 1.420; 95% CI = 1.112-1.814; P = .005), and increased coagulation activity biomarker D-dimer (OR = 418.7; P = .047), as compared with that of survivors. Our data support that obesity could be a risk factor associated with high mortality in young COVID-19 patients, whereas aggravated inflammatory response, enhanced cardiac injury, and increased coagulation activity are likely to be the mechanisms contributing to the high mortality.     

Non-occupational and occupational factors associated with specific SARS-CoV-2 antibodies among hospital workers – A multicentre cross-sectional study

ObjectivesProtecting healthcare workers (HCWs) from coronavirus disease-19 (COVID-19) is critical to preserve the functioning of healthcare systems. We therefore assessed seroprevalence and identified risk factors for severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) seropositivity in this population.MethodsBetween 22 June 22 and 15 August 2020, HCWs from institutions in northern/eastern Switzerland were screened for SARS-CoV-2 antibodies. We recorded baseline characteristics, non-occupational and occupational risk factors. We used pairwise tests of associations and multivariable logistic regression to identify factors associated with seropositivity.ResultsAmong 4664 HCWs from 23 healthcare facilities, 139 (3%) were seropositive. Non-occupational exposures independently associated with seropositivity were contact with a COVID-19-positive household (adjusted OR 59, 95% CI 33–106), stay in a COVID-19 hotspot (aOR 2.3, 95% CI 1.2–4.2) and male sex (aOR 1.9, 95% CI 1.1–3.1). Blood group 0 vs. non-0 (aOR 0.5, 95% CI 0.3–0.8), active smoking (aOR 0.4, 95% CI 0.2–0.7), living with children <12 years (aOR 0.3, 95% CI 0.2–0.6) and being a physician (aOR 0.2, 95% CI 0.1–0.5) were associated with decreased risk. Other occupational risk factors were close contact to COVID-19 patients (aOR 2.7, 95% CI 1.4–5.4), exposure to COVID-19-positive co-workers (aOR 1.9, 95% CI 1.1–2.9), poor knowledge of standard hygiene precautions (aOR 1.9, 95% CI 1.2–2.9) and frequent visits to the hospital canteen (aOR 2.3, 95% CI 1.4–3.8).DiscussionLiving with COVID-19-positive households showed the strongest association with SARS-CoV-2 seropositivity. We identified several potentially modifiable work-related risk factors, which might allow mitigation of the COVID-19 risk among HCWs. The lower risk among those living with children, even after correction for multiple confounders, is remarkable and merits further study.     

Predictors of survival in elderly patients with coronavirus disease 2019 admitted to the hospital: derivation and validation of the FLAMINCOV score

ObjectiveTo identify predictors of 30-day survival in elderly patients with coronavirus disease 2019 (COVID-19).MethodsRetrospective cohort study including patients with COVID-19 aged ≥65 years hospitalized in six European sites (January 2020 to May 2021). Data on demographics, comorbidities, clinical characteristics, and outcomes were collected. A predictive score (FLAMINCOV) was developed using logistic regression. Regression coefficients were used to calculate the score. External validation was performed in a cohort including elderly patients from a major COVID-19 centre in Israel. Discrimination was evaluated using the area under the receiver operating characteristic curve (AUC) in the derivation and validation cohorts. Survival risk groups based on the score were derived and applied to the validation cohort.ResultsAmong 3010 patients included in the derivation cohort, 30-day survival was 74.5% (2242/3010). The intensive care unit admission rate was 7.6% (228/3010). The model predicting survival included independent functional status (OR, 4.87; 95% CI, 3.93–6.03), a oxygen saturation to fraction of inspired oxygen (SpO₂/FiO₂₎ ratio of >235 (OR, 3.75; 95% CI, 3.04–4.63), a C-reactive protein level of <14 mg/dL (OR, 2.41; 95% CI, 1.91–3.04), a creatinine level of <1.3 (OR, 2.02; 95% CI, 1.62–2.52) mg/dL, and absence of fever (OR, 1.34; 95% CI, 1.09–1.66). The score was validated in 1174 patients. The FLAMINCOV score ranges from 0 to 15 and showed good discrimination in the derivation (AUC, 0.79; 95% CI, 0.77–0.81; p < 0.001) and validation cohorts (AUC, 0.79; 95% CI, 0.76–0.81; p < 0.001). Thirty-day survival ranged from 39.4% (203/515) to 95.3% (634/665) across four risk groups according to score quartiles in the derivation cohort. Similar proportions were observed in the validation set.DiscussionThe FLAMINCOV score identifying elderly with higher or lower chances of survival may allow better triage and management, including intensive care unit admission/exclusion.     

Anakinra was not associated with lower mortality in hospitalised COVID-19 patients: A systematic review and meta-analysis of randomized controlled trials

The Coronavirus disease-2019 (COVID-19) pandemic continues, and the death toll continues to surge. This meta-analysis aimed to determine the efficacy of anakinra on mortality in patients with COVID-19. A systematic search was made of PubMed, Embase, Cochrane Library, and clinicaltrials.gov, without language restrictions. Randomized controlled trials on treatment of COVID-19 with anakinra, compared with placebo or blank, were reviewed. Studies were pooled to risk ratios (RRs), with 95% confidence intervals (CIs). Five Randomized controlled trials (enrolling 1859 participants) met the inclusion criteria. There was no statistically significant difference in 14-day mortality (RR 0.78, 95% CI 0.43–1.39; P = 0.40), 28-day mortality (RR 1.06, 95% CI 0.89–1.26; P = 0.51), and 90-day mortality (RR 1.01, 95% CI 0.73–1.39; P = 0.97) between the two groups. Sensitivity analyses further confirmed these results. Anakinra was not associated with reduced mortality in hospitalised patients with COVID-19. Anakinra probably should not be used routinely in COVID-19 patients.     

Efficacy and safety of tixagevimab-cilgavimab as pre-exposure prophylaxis for COVID-19: A systematic review and meta-analysis

Some proportions of populations, such as immunocompromised patients and organ transplant recipients might have inadequate immune responses to the vaccine for coronavirus disease 2019 (COVID-19). For these groups of populations, administering monoclonal antibodies might offer some additional protection. This review sought to analyze the effectiveness and safety of tixagevimab-cilgavimab (Evusheld) as pre-exposure prophylaxis against COVID-19. We used specific keywords to comprehensively search for potential studies on PubMed, Scopus, Europe PMC, and ClinicalTrials.gov sources until 3 September 2022. We collected all published articles that analyzed tixagevimab-cilgavimab on the course of COVID-19. Review Manager 5.4 was utilized for statistical analysis. Six studies were included. Our pooled analysis revealed that tixagevimab-cilgavimab prophylaxis may decrease the rate of SARS-CoV-2 infection (OR: 0.24; 95% CI: 0.15–0.40, p < 0.00001, I² = 75%), lower COVID-19 hospitalization rate (OR: 0.13; 95% CI: 0.07–0.24, p < 0.00001, I² = 0%), decrease the severity risk (OR: 0.13; 95% CI: 0.07–0.24, p < 0.00001, I² = 0%), and lower COVID-19 deaths (OR: 0.17; 95% CI: 0.03–0.99, p = 0.05, I² = 72%). In the included studies, no major adverse events were reported. This study proposes that tixagevimab-cilgavimab was effective and safe for preventing COVID-19. Tixagevimab-cilgavimab may be offered to those who cannot be vaccinated or have inadequate immune response from the COVID-19 vaccine to give additional protection.     

Impact of HLA polymorphisms on the susceptibility to SARS-CoV-2 infection and related mortality in patients with renal replacement therapy

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection could present in a clinical spectrum of varying severity. Human leukocyte antigen (HLA) is a crucial component of the viral antigen presentation pathway and immune response to the virus. Therefore, we aimed to assess the impact of HLA allele polymorphisms on the susceptibility to SARS-CoV-2 infection and related mortality in Turkish kidney transplant recipients and wait listed patients, along with clinical characteristics of the patients. We analysed data from 401 patients with clinical characteristics according to presence (n = 114, COVID+) or absence of SARS-CoV-2 infection (n = 287, COVID-) who had previously been HLA typed to support transplantation. The incidence of coronavirus disease-19 (COVID-19) was 28 %, and the mortality rate was 19 % in our wait listed/ transplanted patients. Multivariate logistic regression analysis showed that a significant HLA association between HLA- B*49 (OR = 2.57, 95 % CI, 1.13–5.82; p = 0.02) and HLA- DRB1*14 (OR = 2.48, 95 % CI, 1.18–5.20; p = 0.01) with SARS-CoV-2 infection. Besides, in COVID + patients, HLA-C*03 was correlated to mortality (OR = 8.31, 95 % CI, 1.26–54.82; P = 0.03). The new finding from our analysis suggests that HLA polymorphisms could be associated with the occurrence of SARS-CoV-2 infection and COVID-19 mortality in Turkish patients with renal replacement therapy. This study may provide new information for the clinician to identify and manage sub-populations at risk in the setting of the current COVID-19 pandemic.     

Clinical course and factors associated with outcomes among 1904 patients hospitalized with COVID-19 in Germany: an observational study

ObjectivesIn Germany the coronavirus disease 2019 (COVID-19) pandemic situation is unique among large European countries in that incidence and case fatality rate are distinctly lower. We describe the clinical course and examine factors associated with outcomes among patients hospitalized with COVID-19 in Germany.MethodsIn this retrospective cohort study we included patients with COVID-19 admitted to a national network of German hospitals between February 12 and June 12, 2020. We examined demographic characteristics, comorbidities and clinical outcomes.ResultsWe included 1904 patients with a median age of 73 years, 48.5% (924/1904) of whom were female. The mortality rate was 17% (317/1835; 95% confidence interval (95%CI) 16–19), the rate of admission to the intensive care unit (ICU) was 21% (399/1860; 95%CI 20–23), and the rate of invasive mechanical ventilation was 14% (250/1850: 95%CI 12–15). The most prominent risk factors for death were male sex (hazard ratio (HR) 1.45; 95%CI 1.15–1.83), pre-existing lung disease (HR 1.61; 95%CI 1.20–2.16), and increased patient age (HR 4.11 (95%CI 2.57–6.58) for age >79 years versus <60 years). Among patients admitted to the ICU, the mortality rate was 29% (109/374; 95%CI 25–34) and higher in ventilated (33% [77/235; 95%CI 27–39]) than in non-ventilated ICU patients (23%, 32/139; 95%CI 16–30; p < 0.05).ConclusionsIn this nationwide series of patients hospitalized with COVID-19 in Germany, in-hospital and ICU mortality rates were substantial. The most prominent risk factors for death were male sex, pre-existing lung disease, and greater patient age.