Factors Associated With COVID-19 Hospitalizations and Deaths in French Nursing Homes

ObjectivesTo describe the clinical characteristics and management of residents in French nursing homes with suspected or confirmed coronavirus disease 2019 (COVID-19) and to determine the risk factors for COVID-19–related hospitalization and death in this population.DesignA retrospective multicenter cohort study.Setting and ParticipantsFour hundred eighty nursing home residents with suspected or confirmed COVID-19 between March 1 and May 20, 2020, were enrolled and followed until June 2, 2020, in 15 nursing homes in Marseille’s greater metropolitan area.MethodsDemographic, clinical, laboratory, treatment type, and clinical outcome data were collected from patients’ medical records. Multivariable analysis was used to determine factors associated with COVID-19–related hospitalization and death. For the former, the competing risk analysis—based on Fine and Gray’s model—took death into account.ResultsA total of 480 residents were included. Median age was 88 years (IQR 80-93), and 330 residents were women. A total of 371 residents were symptomatic (77.3%), the most common symptoms being asthenia (47.9%), fever or hypothermia (48.1%), and dyspnea (35.6%). One hundred twenty-three patients (25.6%) were hospitalized and 96 (20%) died. Male gender [specific hazard ratio (sHR) 1.63, 95% confidence interval (CI) 1.12-2.35], diabetes (sHR 1.69, 95% CI 1.15-2.50), an altered level of consciousness (sHR 2.36, 95% CI 1.40-3.98), and dyspnea (sHR 1.69, 95% CI 1.09-2.62) were all associated with a greater risk of COVID-19–related hospitalization. Male gender [odds ratio (OR) 6.63, 95% CI 1.04-42.39], thermal dysregulation (OR 2.64, 95% CI 1.60-4.38), falls (2.21 95% CI 1.02-4.75), and being aged >85 years (OR 2.36, 95% CI 1.32-4.24) were all associated with increased COVID-19–related mortality risk, whereas polymedication (OR 0.46, 95% CI 0.27-0.77) and preventive anticoagulation (OR 0.46, 95% CI 0.27-0.79) were protective prognostic factors.Conclusions and ImplicationsMale gender, being aged >85 years old, diabetes, dyspnea, thermal dysregulation, an altered level of consciousness, and falls must all be considered when identifying and protecting nursing home residents who are at greatest risk of COVID-19–related hospitalization and death.     

Excess Mortality After COVID-19 in Swedish Long-Term Care Facilities

ObjectiveTo compare 30-day mortality in long-term care facility (LTCF) residents with and without COVID-19 and to investigate the impact of 31 potential risk factors for mortality in COVID-19 cases.DesignRetrospective cohort study.Setting and ParticipantsAll residents of LTCFs registered in Senior Alert, a Swedish national database of health examinations in older adults, during 2019-2020.MethodsWe selected residents with confirmed COVID-19 until September 15, 2020, along with time-dependent propensity score–matched controls without COVID-19. Exposures were COVID-19, age, sex, comorbidities, medications, and other patient characteristics. The outcome was all-cause 30-day mortality.ResultsA total of 3731 residents (median age 87 years, 64.5% female) with COVID-19 were matched to 3731 controls without COVID-19. Thirty-day mortality was 39.9% in COVID-19 cases and 5.7% in controls [relative risk 7.05, 95% confidence interval (CI) 6.10-8.14]. In COVID-19 cases, the odds ratio (OR) for 30-day mortality was 2.44 (95% CI 1.57-3.81) in cases aged 80-84 years, 2.99 (95% CI 1.93-4.65) in cases aged 85-89 years, and 3.28 (95% CI 2.11-5.10) in cases aged ≥90 years, as compared with cases aged <70 years. Other risk factors for mortality among COVID-19 cases included male sex (OR, 2.60, 95% CI 2.22-3.05), neuropsychological conditions (OR, 2.18; 95% CI 1.76-2.71), impaired walking ability (OR, 1.45, 95% CI 1.17-1.78), urinary and bowel incontinence (OR 1.51, 95% CI 1.22-1.85), diabetes (OR 1.36, 95% CI 1.14-1.62), chronic kidney disease (OR 1.37, 95% CI 1.11-1.68) and previous pneumonia (OR 1.57, 95% CI 1.32-1.85). Nutritional factors, cardiovascular diseases, and antihypertensive medications were not significantly associated with mortality.Conclusions and ImplicationsIn Swedish LTCFs, COVID-19 was associated with a large excess in mortality after controlling for an extensive number of risk factors. Beyond older age and male sex, several prevalent clinical risk factors independently contributed to higher mortality. These findings suggest that reducing transmission of COVID-19 in LTCFs will likely prevent a considerable number of deaths.     

Staffing and Protective Equipment Access Mitigated COVID-19 Penetration and Spread in US Nursing Homes During the Third Surge

ObjectivesDuring the last quarter of 2020—despite improved distribution of personal protective equipment (PPE) and knowledge of COVID-19 management—nursing homes experienced the greatest increases in cases and deaths since the pandemic's beginning. We sought to update COVID-19 estimates of cases, hospitalization, and mortality and to evaluate the association of potentially modifiable facility-level infection control factors on odds and magnitude of COVID-19 cases, hospitalizations, and deaths in nursing homes during the third surge of the pandemic.DesignCross-sectional analysis.Setting and ParticipantsFacility-level data from 13,156 US nursing home facilities.MethodsTwo series of multivariable logistic regression and generalized linear models to examine the association of infection control factors (personal protective equipment and staffing) on incidence and magnitude, respectively, of confirmed COVID-19 cases, hospitalizations, and deaths in nursing home residents reported in the last quarter of 2020.ResultsNursing homes experienced steep increases in COVID-19 cases, hospitalizations, and deaths during the final quarter of 2020. Four-fifths (80.51%; n = 10,592) of facilities reported at least 1 COVID-19 case, 49.44% (n = 6504) reported at least 1 hospitalization, and 49.76% (n = 6546) reported at least 1 death during this third surge. N95 mask shortages were associated with increased odds of at least 1 COVID-19 case [odds ratio (OR) 1.21, 95% confidence interval (CI) 1.05-1.40] and hospitalization (1.26, 95% CI 1.13-1.40), as well as larger numbers of hospitalizations (1.11, 95% CI 1.02-1.20). Nursing aide shortages were associated with lower odds of at least 1 COVID-19 death (1.23, 95% CI 1.12-1.34) and higher hospitalizations (1.09, 95% CI 1.01-1.17). The number of nursing hours per resident per day was largely insignificant across all outcomes. Of note, smaller (<50-bed) and midsized (50- to 150-bed) facilities had lower odds yet higher magnitude of all COVID outcomes. Bed occupancy rates >75% increased odds of experiencing a COVID-19 case (1.48, 95% CI 1.35-1.62) or death (1.25, 95% CI 1.17-1.34).Conclusions and ImplicationsAdequate staffing and PPE—along with reduced occupancy and smaller facilities—mitigate incidence and magnitude of COVID-19 cases and sequelae. Addressing shortcomings in these factors is critical to the prevention of infections and adverse health consequences of a next surge among vulnerable nursing home residents.     

Risk factors associated with COVID-19 infection and mortality in nursing homes

ObjectiveThe aim of this paper was to analyse the association of demographic, clinical and pharmacological risk factors with the presence of SARS-COV-2 virus infection, as well as to know the variables related to mortality from COVID-19 in nursing home (NH) residents.DesignRetrospective case–control study. The study variables of those residents who acquired the infection (case) were compared with those of the residents who did not acquire it (control). A subgroup analysis was carried out to study those variables related to mortality.SiteNursing homes in the region of Guipúzcoa (Spain).Participants and interventions4 NHs with outbreaks of SARS-CoV-2 between March and December 2020 participated in the study. The infectivity and, secondary, mortality was studied, as well as demographic, clinical and pharmacological variables associated with them. Data were collected from the computerised clinical records.Main measurementsInfection and mortality rate. Risk factors associated with infection and mortality.Results436 residents were studied (median age 87 years (IQR 11)), 173 acquired SARS-CoV-2 (39.7%). People with dementia and Global Deterioration Scale ≥6 were less likely to be infected by SARS-CoV-2 virus [OR = 0.65 (95% CI 0.43–0.97; p < .05)]. Overall case fatality rate was 10.3% (a mortality of 26% among those who acquired the infection). COVID-19 mortality was significantly associated with a Global Deterioration Scale ≥6 (OR = 4.9 (95% CI 1.5–16.1)), COPD diagnosis (OR = 7.8 (95% CI 1.9–31.3)) and antipsychotic use (OR = 3.1 (95% CI 1.0–9.0)).ConclusionsAdvanced dementia has been associated with less risk of SARS-CoV-2 infection but higher risk of COVID-19 mortality. COPD and chronic use of antipsychotics have also been associated with mortality. These results highlight the importance of determining the stage of diseases such as dementia as well as maintaining some caution in the use of some drugs such as antipsychotics.     

Impact of prior bariatric surgery on risk and severity of COVID-19 infection: A meta-analysis of observational studies

BackgroundThe association of prior bariatric surgery (BS) with infection rate and prognosis of coronavirus disease 2019 (COVID-19) remains unclear. We conducted a meta-analysis of observational studies to address this issue.MethodsWe searched databases including MEDLINE, Embase, and CENTRAL from inception to May, 2022. The primary outcome was risk of mortality, while secondary outcomes included risk of hospital/intensive care unit (ICU) admission, mechanical ventilation, acute kidney injury (AKI), and infection rate.ResultsEleven studies involving 151,475 patients were analyzed. Meta-analysis showed lower risks of mortality [odd ratio (OR)= 0.42, 95% CI: 0.27–0.65, p < 0.001, I² = 67%; nine studies; 151,113 patients, certainty of evidence (COE):moderate], hospital admission (OR=0.56, 95% CI: 0.36–0.85, p = 0.007, I² =74.6%; seven studies; 17,810 patients; COE:low), ICU admission (OR=0.5, 95% CI: 0.37–0.67, p < 0.001, I² =0%; six studies; 17,496 patients, COE:moderate), mechanical ventilation (OR=0.52, 95% CI: 0.37–0.72, p < 0.001, I² =57.1%; seven studies; 137,992 patients, COE:moderate) in patients with prior BS (BS group) than those with obesity without surgical treatment (non-BS group). There was no difference in risk of AKI (OR=0.74, 95% CI: 0.41–1.32, p = 0.304, I² =83.6%; four studies; 129,562 patients, COE: very low) and infection rate (OR=1.05, 95% CI: 0.89–1.22, p = 0.572, I² =0%; four studies; 12,633 patients, COE:low) between the two groups. Subgroup analysis from matched cohort studies demonstrated associations of prior BS with lower risks of mortality, ICU admission, mechanical ventilation, and AKI.ConclusionOur results showed a correlation between prior BS and less severe COVID-19, which warrants further investigations to verify.     

Neither Race nor Ethnicity Impact the Mortality of Residents of Veterans Affairs Community Living Center With COVID-19

ObjectivesCOVID-19 disproportionately affected nursing home residents and people from racial and ethnic minorities in the United States. Nursing homes in the Veterans Affairs (VA) system, termed Community Living Centers (CLCs), belong to a national managed care system. In the period prior to the availability of vaccines, we examined whether residents from racial and ethnic minorities experienced disparities in COVID-19 related mortality.DesignRetrospective cohort study.Setting and ParticipantsResidents at 134 VA CLCs from April 14 to December 10, 2020.MethodsWe used the VA Corporate Data Warehouse to identify VA CLC residents with a positive SARS-CoV-2 polymerase chain reaction test during or 2 days prior to their admission and without a prior case of COVID-19. We assessed age, self-reported race/ethnicity, frailty, chronic medical conditions, Charlson comorbidity index, the annual quarter of the infection, and all-cause 30-day mortality. We estimated odds ratios and 95% confidence intervals of all-cause 30-day mortality using a mixed-effects multivariable logistic regression model.ResultsDuring the study period, 1133 CLC residents had an index positive SARS-CoV-2 test. Mortality at 30 days was 23% for White non-Hispanic residents, 15% for Black non-Hispanic residents, 10% for Hispanic residents, and 16% for other residents. Factors associated with increased 30-day mortality were age ≥70 years, Charlson comorbidity index ≥6, and a positive SARS-CoV-2 test between April 14 and June 30, 2020. Frailty, Black race, and Hispanic ethnicity were not independently associated with an increased risk of 30-day mortality.Conclusions and ImplicationsAmong a national cohort of VA CLC residents with COVID-19, neither Black race nor Hispanic ethnicity had a negative impact on survival. Further research is needed to determine factors within the VA health care system that mitigate the influence of systemic racism on COVID-19 outcomes in US nursing homes.     

Predicting Mortality Risk in Older Hospitalized Persons With COVID-19: A Comparison of the COVID-19 Mortality Risk Score with Frailty and Disability

ObjectivesTo assess the association of pre-morbid functional status [Barthel Index (BI)] and frailty [modified Frailty Index (mFI)] with in-hospital mortality and a risk scoring system developed for COVID-19 in patients ≥75 years diagnosed with COVID-19.DesignRetrospective bicentric observational study.Setting and ParticipantsData on consecutive patients aged ≥75 years admitted with COVID-19 at 2 Italian tertiary care centers were collected from February 22 to May 30, 2020.MethodsOverall, 221 consecutive patients with COVID-19 aged ≥75 years were admitted to 2 hospitals in the study period and were included in the analysis. Clinical, functional (BI), frailty (mFI), laboratory, and imaging data were collected. Mortality risk on admission was assessed with the COVID-19 Mortality Risk Score (COVID-19 MRS), a dedicated score developed for hospital triage.ResultsNinety-seven (43.9%) patients died. BI, frailty, age, dementia, respiratory rate, Pao₂/Fio₂ ratio, creatinine, and platelet count were associated with mortality. Analysis of the area under the receiver operating characteristic (AUC) indicated that the predictivity of age was modest and the combination of BI, mFI, and COVID-19 MRS yielded the highest prediction accuracy (AUC_{COVID-19MRS+BI+mFI} vs AUC_Age: 0.87 vs 0.59; difference: +0.28, lower bound–upper bound: 0.17-0.34, P < .001).Conclusions and ImplicationsPremorbid BI and mFI are associated with mortality and improved the accuracy of the COVID-19 MRS. Functional status may prove useful to guide clinical management of older individuals.     

Risk Factors,Presentation, and Course of Coronavirus Disease 2019 in a Large,Academic Long-Term Care Facility

ObjectiveTo describe clinical characteristics and risk factors associated with coronavirus disease 2019 (COVID-19) in long-stay nursing home residents.Design and ParticipantsRetrospective cohort study (March 16, 2020 to May 8, 2020).SettingAcademic long-term chronic care facility (Boston, MA).ParticipantsLong-term care residents.MethodsPatient characteristics and clinical symptoms were obtained via electronic medical records and Minimum Data Set. Staff residence was inferred by zip codes. COVID-19 infection was confirmed by polymerase chain reaction testing using nasopharyngeal swabs. Residents were followed until discharge from facility, death, or up to 21 days. Risks of COVID-19 infection were modeled by generalized estimating equation to estimate the relative risk (RR) and 95% confidence intervals (CI) of patient characteristics and staff community of residence.ResultsOverall 146 of 389 (37.5%) long-stay residents tested positive for COVID-19. At the time of positive test, 66 of 146 (45.5%) residents were asymptomatic. In the subsequent illness course, the most common symptom was anorexia (70.8%), followed by delirium (57.6%). During follow-up, 44 (30.1%) of residents with COVID-19 died. Mortality increased with frailty (16.7% in pre-frail, 22.2% in moderately frail, and 50.0% in frail; P < .001). The proportion of residents infected with COVID-19 varied across the long-term care units (range: 0%‒90.5%). In adjusted models, male sex (RR 1.80, 95% CI 1.07, 3.05), bowel incontinence (RR 1.97, 95% CI 1.10, 3.52), and staff residence remained significant predictors of COVID-19. For every 10% increase in the proportion of staff living in a high prevalence community, the risk of testing positive increased by 6% (95% CI 1.04, 1.08).Conclusions and ImplicationsAmong long-term care residents diagnosed with COVID-19, nearly one-half were asymptomatic at the time of diagnosis. Predictors of COVID-19 infection included male sex, bowel incontinence, and staff residence in a community with a high burden of COVID-19. Universal testing of patients and staff in communities with high COVID-19 rates is essential to mitigate outbreaks.     

Level of Medical Intervention in Geriatric Settings: Decision Factors and Correlation With Mortality

ObjectivesLevel of medical intervention (LMI) has to be adapted to each patient in geriatric care. LMI scales intend to help nonintensive care (NIC) decisions, giving priority to patient choice and collegial discussion. In the present study, we aimed to assess the parameters associated with the NIC decision and whether these parameters differ from those associated with in-hospital mortality.DesignProspective observational study.Setting and ParticipantsAll consecutive patients from a French 62-bed acute geriatric unit over 1 year.MethodsFactors from the geriatric assessment associated with the decision of NIC were compared with those associated with in-hospital and 1-year mortality, in univariate and multivariate analyses.ResultsIn total, 1654 consecutive patients (median age 87 years) were included. Collegial reflection led to NIC decision for 532 patients (32%). In-hospital and 1-year mortality were 22% and 54% in the NIC group vs 2% and 27% in the rest of the cohort (P < .001 for both). In multivariable analysis, high Charlson Comorbidity Index [odds ratio (OR) 1.15, 95% confidence interval (CI) 1.06-1.23, per point], severe neurocognitive disorders (OR 2.78, 95% CI 1.67-4.55), dependence (OR 1.92, 95% CI 1.45-2.59), and nursing home residence (OR 2.38, 95% CI 1.85-3.13) were highly associated with NIC decision but not with in-hospital mortality. Conversely, acute diseases had little impact on LMI despite their high short-term prognostic burden.Conclusions and ImplicationsNeurocognitive disorders and dependence were strongly associated with NIC decision, even though they were not significantly associated with in-hospital mortality. The decision-making process of LMI therefore seems to go beyond the notion of short-term survival.     

Association between metabolic syndrome and mortality in patients with COVID-19: A nationwide cohort study

ObjectivesWe investigated the association between metabolic syndrome (MetS) and mortality among coronavirus disease 2019 (COVID-19) patients in Korea.MethodsWe analyzed 3876 individuals aged ≥ 20 years who were confirmed with COVID-19 from January 1 to June 4, 2020 based on the Korea National Health Insurance Service (NHIS)-COVID-19 database and had undergone health examination by NHIS between 2015 and 2017. Multivariable Cox proportional hazard regression analyses were performed.ResultsOf total participants, the prevalence of MetS was 21.0% (n = 815). During 58.6 days of mean follow-up, 3.1 % (n = 120) of the participants died. Compared to individuals without MetS, COVID-19 patients with MetS had a significantly increased mortality risk after adjusting for confounders in total participants (hazard ratio [HR]: 1.68, 95 % confidence interval [CI]: 1.14–2.47) and women (HR: 2.41, 95 % CI: 1.17–4.96). A low high-density lipoprotein cholesterol level in total participants (HR: 1.63, 95 % CI: 1.12–2.37) and hyperglycemia in women (HR: 1.97, 95 % CI: 1.01–3.84) was associated with higher mortality risk. The mortality risk increased as the number of MetS components increased among total participants and women (P for trend = 0.009 and 0.016, respectively). In addition, MetS groups had higher mortality risk in aged ≥ 60 years (HR: 1.60, 95 % CI: 1.07–2.39), and never-smokers (2.08, 1.21–3.59).ConclusionsThe presence of MetS and greater number of its components were associated with increased mortality risks particularly in female patients with COVID-19. Managing MetS may contribute to better outcomes of COVID-19.     

Differences in Clinical Presentation With Long COVID After Community and Hospital Infection and Associations With All-Cause Mortality: English Sentinel Network Database Study

BackgroundMost studies of long COVID (symptoms of COVID-19 infection beyond 4 weeks) have focused on people hospitalized in their initial illness. Long COVID is thought to be underrecorded in UK primary care electronic records.ObjectiveWe sought to determine which symptoms people present to primary care after COVID-19 infection and whether presentation differs in people who were not hospitalized, as well as post–long COVID mortality rates.MethodsWe used routine data from the nationally representative primary care sentinel cohort of the Oxford–Royal College of General Practitioners Research and Surveillance Centre (N=7,396,702), applying a predefined long COVID phenotype and grouped by whether the index infection occurred in hospital or in the community. We included COVID-19 infection cases from March 1, 2020, to April 1, 2021. We conducted a before-and-after analysis of long COVID symptoms prespecified by the Office of National Statistics, comparing symptoms presented between 1 and 6 months after the index infection matched with the same months 1 year previously. We conducted logistic regression analysis, quoting odds ratios (ORs) with 95% CIs.ResultsIn total, 5.63% (416,505/7,396,702) and 1.83% (7623/416,505) of the patients had received a coded diagnosis of COVID-19 infection and diagnosis of, or referral for, long COVID, respectively. People with diagnosis or referral of long COVID had higher odds of presenting the prespecified symptoms after versus before COVID-19 infection (OR 2.66, 95% CI 2.46-2.88, for those with index community infection and OR 2.42, 95% CI 2.03-2.89, for those hospitalized). After an index community infection, patients were more likely to present with nonspecific symptoms (OR 3.44, 95% CI 3.00-3.95; P<.001) compared with after a hospital admission (OR 2.09, 95% CI 1.56-2.80; P<.001). Mental health sequelae were more strongly associated with index hospital infections (OR 2.21, 95% CI 1.64-2.96) than with index community infections (OR 1.36, 95% CI 1.21-1.53; P<.001). People presenting to primary care after hospital infection were more likely to be men (OR 1.43, 95% CI 1.25-1.64; P<.001), more socioeconomically deprived (OR 1.42, 95% CI 1.24-1.63; P<.001), and with higher multimorbidity scores (OR 1.41, 95% CI 1.26-1.57; P<.001) than those presenting after an index community infection. All-cause mortality in people with long COVID was associated with increasing age, male sex (OR 3.32, 95% CI 1.34-9.24; P=.01), and higher multimorbidity score (OR 2.11, 95% CI 1.34-3.29; P<.001). Vaccination was associated with reduced odds of mortality (OR 0.10, 95% CI 0.03-0.35; P<.001).ConclusionsThe low percentage of people recorded as having long COVID after COVID-19 infection reflects either low prevalence or underrecording. The characteristics and comorbidities of those presenting with long COVID after a community infection are different from those hospitalized. This study provides insights into the presentation of long COVID in primary care and implications for workload.     

Metformin is Associated with Decreased 30-Day Mortality Among Nursing Home Residents Infected with SARS-CoV2

ObjectivesThe COVID-19 pandemic presents an urgent need to investigate whether existing drugs can enhance or even worsen prognosis; metformin, a known mammalian target of rapamycin (m-TOR) inhibitor, has been identified as a potential agent. We sought to evaluate mortality benefit among older persons infected with SARS-CoV-2 who were taking metformin as compared to those who were not.DesignRetrospective cohort study.Setting and Participants775 nursing home residents infected with SARS-CoV-2 who resided in one of the 134 Community Living Centers (CLCs) of the Veterans Health Administration (VHA) during March 1, 2020, to May 13, 2020, were included.MethodsUsing a window of 14 days prior to SARS-CoV-2 testing, bar-coded medication administration records were examined for dispensing of medications for diabetes. The COVID-19–infected residents were divided into 4 groups: (1) residents administered metformin alone or in combination with other medications, (2) residents who used long-acting or daily insulin, (3) residents administered other diabetes medications, and (4) residents not administered diabetes medication, including individuals without diabetes and patients with untreated diabetes. Proportional hazard models adjusted for demographics, hemoglobin A1c, body mass index, and renal function.ResultsRelative to those not receiving diabetes medications, residents taking metformin were at significantly reduced hazard of death [adjusted hazard ratio (HR) 0.48, 95% confidence interval (CI) 0.28, 0.84] over the subsequent 30 days from COVID-19 diagnosis. There was no association with insulin (adjusted HR 0.99, 95% CI 0.60, 1.64) or other diabetes medications (adjusted HR 0.71, 95% CI 0.38, 1.32).Conclusions and ImplicationsOur data suggest a reduction in 30-day mortality following SARS-CoV-2 infection in residents who were on metformin-containing diabetes regimens. These findings suggest a relative survival benefit in nursing home residents on metformin, potentially through its mTOR inhibition effects. A prospective study should investigate the therapeutic benefits of metformin among persons with COVID-19.     

Associations of pre-existing cardiovascular morbidity with severity and the fatality rate in COVID-19 patients: a systematic review and meta-analysis

ObjectivesThe aim of this study was to evaluate the association of pre-existing cardiovascular comorbidities, including hypertension and coronary heart disease, with coronavirus disease 2019 (COVID-19) severity and mortality.MethodsPubMed, ScienceDirect, and Scopus were searched between January 1, 2020, and July 18, 2020, to identify eligible studies. Random-effect models were used to estimate the pooled event rates of pre-existing cardiovascular disease comorbidities and odds ratio (OR) with 95% confidence intervals (95% CIs) of disease severity and mortality associated with the exposures of interest.ResultsA total of 34 studies involving 19,156 patients with COVID-19 infection met the inclusion criteria. The prevalence of pre-existing cardiovascular disease in the included studies was 14.0%. Pre-existing cardiovascular disease in COVID-19 patients was associated with severe outcomes (OR, 4.1; 95% CI, 2.9 to 5.7) and mortality (OR, 6.1; 95% CI, 2.9 to 12.7). Hypertension and coronary heart disease increased the risk of severe outcomes by 3 times (OR, 3.2; 95% CI, 2.0 to 3.6) and 2.5 times (OR, 2.5; 95% CI, 1.7 to 3.8), respectively. No significant publication bias was indicated.ConclusionCOVID-19 patients with pre-existing cardiovascular comorbidities have a higher risk of severe outcomes and mortality. Awareness of pre-existing cardiovascular comorbidity is important for the early management of COVID-19.     

The Impact of COVID-19 on the Prevalence,Mortality, and Associated Risk Factors for Mortality in Patients with Hip Fractures: A Meta-Analysis

ObjectiveThis study aimed to assess (1) the prevalence of COVID-19 in patients with hip fracture; (2) the mortality rate of patients with hip fracture associated with COVID-19; (3) risk factors associated with mortality in patients with hip fracture; and (4) the effects of COVID-19 on surgical outcomes of patients with hip fracture.DesignMeta-analysis.Setting and ParticipantsPatients with hip fractures during COVID-19.MethodsPubMed, Web of Science, and Embase were systematically reviewed. The outcomes included the prevalence of COVID-19, case fatality rate, 30-day mortality, cause of death, risk factors associated with the mortality of patients with hip fracture, time to surgery, surgical time, and length of hospitalization. Risk ratio or weight mean difference with 95% confidence intervals were used to pool the estimates.ResultsA total of 60 studies were included in this meta-analysis. The pooled estimate showed that the prevalence of COVID-19 was 21% in patents with hip fractures. Patients with hip fracture with COVID-19 had an increased 30-day mortality risk compared with those without the infection. The main causes of death were respiratory failure, COVID-19–associated pneumonia, multiorgan failure, and non–COVID-19 pneumonia. The hospitalization was longer in patients with COVID-19 when compared with those without the infection, but was shorter in patients during the pandemic period. The surgery time and time to surgery were not significantly different between patients during or before the pandemic period and in those with or without COVID-19.Conclusions and ImplicationsThe 30-day mortality rate was significantly higher in patients with hip fracture with COVID-19 infection than those without. Patients with COVID-19 had a higher all-cause mortality rate than those without. This information can be used by the medical community to guide the management of patients with hip fracture with COVID-19.     

Does BCG provide long-term protection against SARS-CoV-2 infection? A case–control study in Quebec,Canada

BackgroundEarly in the coronavirus disease 2019 (COVID-19) pandemic, before severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines became available, it was hypothesized that BCG (Bacillus Calmette–Guérin), which stimulates innate immunity, could provide protection against SARS-CoV-2. Numerous ecological studies, plagued by methodological deficiencies, revealed a country-level association between BCG use and lower COVID-19 incidence and mortality. We aimed to determine whether BCG administered in early life decreased the risk of SARS-CoV-2 infection in adulthood and the severity of COVID-19.MethodsThis case-control study was conducted in Quebec, Canada. Cases were patients with a positive SARS-CoV-2 nucleic acid amplification test performed at two hospitals between March–October 2020. Controls were identified among patients with non-COVID-19 samples processed by the same microbiology laboratories during the same period. Enrolment was limited to individuals born in Quebec between 1956 and 1976, whose vaccine status was accessible in a computerized registry of 4.2 million BCG vaccinations.ResultsWe recruited 920 cases and 2123 controls. Fifty-four percent of cases (n = 424) and 53% of controls (n = 1127) had received BCG during childhood (OR: 1.03; 95% CI: 0.89–1.21), while 12% of cases (n = 114) and 11% of controls (n = 235) had received two or more BCG doses (OR: 1.14; 95% CI: 0.88–1.46). After adjusting for age, sex, material deprivation, recruiting hospital and occupation there was no evidence of protection conferred by BCG against SARS-CoV-2 (AOR: 1.01; 95% CI: 0.84–1.21). Among cases, 77 (8.4%) needed hospitalization and 18 (2.0%) died. The vaccinated were as likely as the unvaccinated to require hospitalization (AOR: 1.01, 95% CI: 0.62–1.67) or to die (AOR: 0.85, 95% CI: 0.32–2.39).ConclusionsBCG does not provide long-term protection against symptomatic COVID-19 or severe forms of the disease.     

Nurse Decision-making for Suspected Urinary Tract Infections in Nursing Homes: Potential Targets to Reduce Antibiotic Overuse

ObjectivesTo determine what information is most important to registered nurses' (RNs) decisions to call clinicians about suspected urinary tract infections (UTIs) in nursing home residents.DesignWeb-based discrete choice experiment with 19 clinical scenarios.Setting and ParticipantsOnline survey with a convenience sample of RNs (N = 881) recruited from a health care research panel.MethodsClinical scenarios used information from 10 categories of resident characteristics: UTI risk, resident type, functional status, mental status, lower urinary tract status, body temperature, physical examination, urinalysis, antibiotic request, and goals of care. Participants were randomized into 2 deliberation conditions (self-paced, n = 437 and forced deliberation, n = 444). The degree to which evidence- and non–evidence-based information was important to decision-making was estimated using unconditional multinomial logistic regression.ResultsFor all nurses (22.8%) and the self-paced group (24.1%), lower urinary tract status had the highest importance scores for the decision to call a clinician about a suspected UTI. For the forced-deliberation group, body temperature was most important (23.7%), and lower urinary tract status was less important (21%, P = .001). The information associated with the highest odds of an RN calling about a suspected UTI was painful or difficult urination [odds ratio (OR) 4.85, 95% confidence interval (CI) 4.16–5.65], obvious blood in urine (OR 4.66, 95% CI 3.99–5.44), and temperature at 101.5° (OR 3.80, 95% CI 3.28–4.42). For the self-paced group, painful or difficult urination (OR 5.65, 95% CI 4.53–7.04) had the highest odds, whereas obvious blood in urine (OR 4.39, 95% CI 3.53–5.47) had highest odds for the forced-deliberation group.Conclusions and ImplicationsThis study highlighted the importance of specific resident characteristics in nurse decision-making about suspected UTIs. Future antimicrobial stewardship efforts should aim to not only improve the previously studied overprescribing practices of clinicians, but to improve nurses' assessment of signs and symptoms of potential infections and how they weigh resident information.     

Prognostic Value of Lung Ultrasonography in Older Nursing Home Residents Affected by COVID-19

ObjectivesLung ultrasonographic (LUS) imaging may play an important role in the management of patients with COVID-19–associated lung injury, particularly in some special populations. However, data regarding the prognostic role of the LUS in nursing home residents, one of the populations most affected by COVID-19, are not still available.DesignRetrospective.Settings and ParticipantsNursing home residents affected by COVID-19 were followed up with an LUS from April 8 to May 14, 2020, in Chioggia, Venice.MethodsCOVID-19 was diagnosed through a nasopharyngeal swab. LUS results were scored using a 12-zone method. For each of the 12 zones (2 posterior, 2 anterior, 2 lateral, for both left and right lungs), the possible score ranged from 0 to 3 (1 = presence of B lines, separated, with <50% of space from the pleural line; 2 = presence of B lines, separated, with >50% of space from the pleural line; 3 = lung thickening with tissuelike aspect). The total score ranged from 0 to 36. Mortality was assessed using administrative data. Data regarding accuracy (and related parameters) were reported.ResultsAmong 175 nursing home residents, 48 (mean age: 84.1 years; mainly female) were affected by COVID-19. Twelve died during the follow-up period. The mean LUS score was 3. The area under the curve of LUS in predicting mortality was 0.603 [95% confidence interval (CI): 0.419-0.787], and it increased to 0.725 (95% CI: 0.41-0.99) after including follow-up LUS controls. Taking an LUS score ≥4 as exposure variable and mortality as outcome, the sensitivity was 58.33% and specificity 63.89%, with a positive likelihood ratio of 1.62 and a negative of 0.65.Conclusions and ImplicationsLUS is able to significantly predict mortality in nursing home residents affected by COVID-19, suggesting that this simple tool can be routinely used in this setting instead of more invasive techniques available only in hospital.     

Association of obesity with venous thromboembolism and myocardial injury in COVID-19

IntroductionAlthough both obesity and coronavirus disease 2019 (COVID-19) independently induce inflammation and thrombosis, the association between obesity class and risk of thrombosis in patients with COVID-19 remains unclear.MethodsThis retrospective cohort study included consecutive patients hospitalized with COVID-19 at a single institution. Patients were categorized based on obesity class. The main outcomes were venous thromboembolism (VTE) and myocardial injury, a marker of microvascular thrombosis in COVID-19. Adjustments were made for sociodemographic variables, cardiovascular disease risk factors and comorbidities.Results609 patients with COVID-19 were included. 351 (58%) patients were without obesity, 110 (18%) were patients with class I obesity, 76 (12%) were patients with class II obesity, and 72 (12%) were patients with class III obesity. Patients with class I and III obesity had significantly higher risk-adjusted odds of VTE compared to patients without obesity (OR = 2.54, 95% CI: 1.05–6.14 for class I obesity; and OR = 3.95, 95% CI: 1.40–11.14 for class III obesity). Patients with class III obesity had significantly higher risk-adjusted odds of myocardial injury compared to patients without obesity (OR = 2.15, 95% CI: 1.12–4.12). Both VTE and myocardial injury were significantly associated with greater risk-adjusted odds of mortality.ConclusionThis study demonstrates that both macrovascular and microvascular thromboses may contribute to the elevated morbidity and mortality in patients with obesity and COVID-19.