Impact of SARS-CoV2 infection on mortality and hospitalization in nursing home residents during the "Omicron era".
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ABSTRACT: Background
Widespread vaccination and emergence of less aggressive SARS-CoV2 variants may have blunted the unfavourable outcomes of COVID-19 in nursing home (NH) residents. We analysed the course of COVID-19 epidemic in NHs of Florence, Italy, during the "Omicron era" and investigated the independent effect of SARS-CoV2 infection on death and hospitalization risk.Methods
Weekly SARS-CoV2 infection rates between November 2021 and March 2022 were calculated. Detailed clinical data were collected in a sample of NHs.Results
Among 2044 residents, 667 SARS-CoV2 cases were confirmed. SARS-CoV2 incidence sharply increased during the Omicron era. Mortality rates did not differ between SARS-CoV2-positive (6.9%) and SARS-CoV2-negative residents (7.3%, p = 0.71). Chronic obstructive pulmonary disease and poor functional status, but not SARS-CoV2 infection independently predicted death and hospitalization.Conclusions
Despite that SARS-CoV2 incidence increased during the Omicron era, SARS-CoV2 infection was not a significant predictor of hospitalization and death in the NH setting.
SUBMITTER: Bulgaresi M
PROVIDER: S-EPMC10134704 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature
Publications
Impact of SARS-CoV2 infection on mortality and hospitalization in nursing home residents during the "Omicron era".
Bulgaresi Matteo M Rivasi Giulia G Tarantini Francesca F Espinoza Tofalos Sofia S Del Re Lorenzo Maria LM Salucci Caterina C Turrin Giada G Barucci Riccardo R Bandinelli Chiara C Fattorini Letizia L Borchi Daniele D Betti Marta M Checchi Saverio S Baggiani Lorenzo L Collini Francesca F Lorini Chiara C Bonaccorsi Guglielmo G Ungar Andrea A Mossello Enrico E Benvenuti Enrico E
Aging clinical and experimental research 20230427 6
<h4>Background</h4>Widespread vaccination and emergence of less aggressive SARS-CoV2 variants may have blunted the unfavourable outcomes of COVID-19 in nursing home (NH) residents. We analysed the course of COVID-19 epidemic in NHs of Florence, Italy, during the "Omicron era" and investigated the independent effect of SARS-CoV2 infection on death and hospitalization risk.<h4>Methods</h4>Weekly SARS-CoV2 infection rates between November 2021 and March 2022 were calculated. Detailed clinical data ...[more]
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Project description:ImportanceNursing home residents account for approximately 40% of deaths from SARS-CoV-2.ObjectiveTo identify risk factors for SARS-CoV-2 incidence, hospitalization, and mortality among nursing home residents in the US.Design, setting, and participantsThis retrospective longitudinal cohort study was conducted in long-stay residents aged 65 years or older with fee-for-service Medicare residing in 15 038 US nursing homes from April 1, 2020, to September 30, 2020. Data were analyzed from November 22, 2020, to February 10, 2021.Main outcomes and measuresThe main outcome was risk of diagnosis with SARS-CoV-2 (per International Statistical Classification of Diseases, Tenth Revision, Clinical Modification [ICD-10-CM] codes) by September 30 and hospitalization or death within 30 days after diagnosis. Three-level (resident, facility, and county) logistic regression models and competing risk models conditioned on nursing home facility were used to determine association of patient characteristics with outcomes.ResultsAmong 482 323 long-stay residents included, the mean (SD) age was 82.7 (9.2) years, with 326 861 (67.8%) women, and 383 838 residents (79.6%) identifying as White. Among 137 119 residents (28.4%) diagnosed with SARS-CoV-2 during follow up, 29 204 residents (21.3%) were hospitalized, and 26 384 residents (19.2%) died within 30 days. Nursing homes explained 37.2% of the variation in risk of infection, while county explained 23.4%. Risk of infection increased with increasing body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) (eg, BMI>45 vs BMI 18.5-25: adjusted hazard ratio [aHR], 1.19; 95% CI, 1.15-1.24) but varied little by other resident characteristics. Risk of hospitalization after SARS-CoV-2 increased with increasing BMI (eg, BMI>45 vs BMI 18.5-25: aHR, 1.40; 95% CI, 1.28-1.52); male sex (aHR, 1.32; 95% CI, 1.29-1.35); Black (aHR, 1.28; 95% CI, 1.24-1.32), Hispanic (aHR, 1.20; 95% CI, 1.15-1.26), or Asian (aHR, 1.46; 95% CI, 1.36-1.57) race/ethnicity; impaired functional status (eg, severely impaired vs not impaired: aHR, 1.15; 95% CI, 1.10-1.22); and increasing comorbidities, such as renal disease (aHR, 1.21; 95% CI, 1.18-1.24) and diabetes (aHR, 1.16; 95% CI, 1.13-1.18). Risk of mortality increased with age (eg, age >90 years vs 65-70 years: aHR, 2.55; 95% CI, 2.44-2.67), impaired cognition (eg, severely impaired vs not impaired: aHR, 1.79; 95% CI, 1.71-1.86), and functional impairment (eg, severely impaired vs not impaired: aHR, 1.94; 1.83-2.05).Conclusions and relevanceThese findings suggest that among long-stay nursing home residents, risk of SARS-CoV-2 infection was associated with county and facility of residence, while risk of hospitalization and death after SARS-CoV-2 infection was associated with facility and individual resident characteristics. For many resident characteristics, there were substantial differences in risk of hospitalization vs mortality. This may represent resident preferences, triaging decisions, or inadequate recognition of risk of death.
| S-EPMC8013796 | biostudies-literature
Project description:ImportanceHospitalizations for infections among nursing home (NH) residents remain common despite national initiatives to reduce them. Cognitive impairment, which markedly affects quality of life and caregiving needs, has been associated with hospitalizations, but the association between infection-related hospitalizations and long-term cognitive function among NH residents is unknown.ObjectiveTo examine whether there are changes in cognitive function before vs after infection-related hospitalizations among NH residents.Design, setting, and participantsThis cohort study used data from the Minimum Data Set 3.0 linked to Medicare hospitalization data from 2011 to 2017 for US nursing home residents aged 65 years or older who had experienced an infection-related hospitalization and had at least 2 quarterly Minimum Data Set assessments before and 4 or more after the infection-related hospitalization. Analyses were performed from September 1, 2019, to December 21, 2020.ExposureInfection-related hospitalization lasting 1 to 14 days.Main outcomes and measuresUsing an event study approach, associations between infection-related hospitalizations and quarterly changes in cognitive function among NH residents were examined overall and by sex, age, Alzheimer disease and related dementias (ADRD) diagnosis, and sepsis vs other infection-related diagnoses. Resident-level cognitive function was measured using the Cognitive Function Scale (CFS), with scores ranging from 1 (intact) to 4 (severe cognitive impairment).ResultsOf the sample of 20 698 NH residents, 71.0% were women and 82.6% were non-Hispanic White individuals; the mean (SD) age at the time of transfer to the hospital was 82 (8.5) years. The mean CFS score was 2.17, and the prevalence of severe cognitive impairment (CFS score, 4) was 9.0%. During the first quarter after an infection-related hospitalization, residents experienced a mean increase of 0.06 points in CFS score (95% CI, 0.05-0.07 points; P < .001), or 3%. The increase in scores was greatest among residents aged 85 years or older vs younger residents by approximately 0.022 CFS points (95% CI, 0.004-0.040 points; P < .05). The prevalence of severe cognitive impairment increased by 1.6 percentage points (95% CI, 1.2-2.0 percentage points; P < .001), or 18%; the increases were observed among individuals with ADRD but not among those without it. After an infection-related hospitalization, cognition among residents who had experienced sepsis declined more than for residents who had not by about 0.02 CFS points (95% CI, 0.00-0.04 points; P < .05). All observed differences persisted without an accelerated rate of decline for at least 6 quarters after infection-related hospitalization. No differences were observed by sex.Conclusions and relevanceIn this cohort study, infection-related hospitalization was associated with immediate and persistent cognitive decline among nursing home residents, with the largest increase in CFS scores among older residents, those with ADRD, and those who had experienced sepsis. Identification of NH residents at risk of worsened cognition after an infection-related hospitalization may help to ensure that their care needs are addressed to prevent further cognitive decline.
| S-EPMC8065379 | biostudies-literature
Project description:ObjectivesTo model the predictors of the time to first acute hospitalization for nursing home residents, and accounting for previous hospitalizations, model the predictors of time between subsequent hospitalizations.Data sourcesMerged file from New York State for the period 1998-2004 consisting of nursing home information from the minimum dataset and hospitalization information from the Statewide Planning and Research Cooperative System.Study designAccelerated failure time models were used to estimate the model parameters and predict survival times. The models were fit to observations from 50 percent of the nursing homes and validated on the remaining observations.Principal findingsPressure ulcers and facility-level deficiencies were associated with a decreased time to first hospitalization, while the presence of advance directives and facility staffing was associated with an increased time. These predictors of the time to first hospitalization model had effects of similar magnitude in predicting the time between subsequent hospitalizations.ConclusionsThis study provides novel evidence suggesting modifiable patient and nursing home characteristics are associated with the time to first hospitalization and time to subsequent hospitalizations for nursing home residents.
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Project description:BackgroundInterventions to reduce potentially risky hospitalizations among nursing home residents are highly relevant for patient safety and quality improvement. A catalog of nursing home-sensitive conditions (NHSCs) grounds the policy recommendations and interventions.MethodsIn two previous research phases, an expert panel developed a catalog of 58 NHSCs using an adapted Delphi-procedure (the RAND/UCLA Appropriateness Method). This procedure was developed by the North American non-profit Research and Development Organisation (RAND) and clinicians of the University of California in Los Angeles (UCLA). We present the third phase of the project focused on the development of interventions to reduce NHSCs starting with an expert workshop. The workshop results were then evaluated by six experts from related sectors, supplemented, and systematically used to produce recommendations for action. Possible implementation obstacles were considered and the time horizon of effectiveness was estimated.ResultsThe recommendations address communication, cooperation, documentation and care competence as well as facility-related, financial, and legal aspects. Indication bundles demonstrate the relevance for the German healthcare system. To increase effectiveness, the experts advise a meaningful combination of individual recommendations.DiscussionBy optimizing multidisciplinary communication and cooperation, combined with an- also digital - expansion of the infrastructure and the creation of institution-specific and legal prerequisites as well as remuneration structures, an estimated 35% of all hospitalizations, approximately 220,000 hospitalizations for Germany, could be prevented. The implementation expenditure could be refinanced by avoided hospitalization savings amounting to 768 million euros.
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Project description:ImportanceNursing home residents are at heightened risk for morbidity and mortality following an exposure to a disaster such as a hurricane or the COVID19 pandemic. Previous research has shown that nursing home resident mortality related to disasters is frequently underreported. There is a need to better understand the consequences of disasters on nursing home residents and to differentiate vulnerability based on patient characteristics.ObjectiveTo evaluate mortality and morbidity associated with exposure to Hurricane Irma, a Category 4 storm that made landfall on September 10, 2017, in Cudjoe Key, Florida, among short-stay (<90-day residence) and long-stay (≥90-day residence) residents of nursing homes.Design, setting, and participantsCohort study of Florida nursing home residents comparing residents exposed to Hurricane Irma in September 2017 to a control group of residents residing at the same nursing homes over the same time period in calendar year 2015. Data were analyzed from August 28, 2019, to July 22, 2020.ExposureResidents who experienced Hurricane Irma were considered exposed; those who did not were considered unexposed.Main outcome and measuresOutcome variables included 30-day and 90-day mortality and first hospitalizations after the storm in both the short term and the long term.ResultsA total of 61 564 residents who were present in 640 Florida nursing home facilities on September 7, 2017, were identified. A comparison cohort of 61 813 residents was evaluated in 2015. Both cohorts were mostly female (2015, 68%; 2017, 67%), mostly White (2015, 79%; 2017, 78%), and approximately 40% of the residents in each group were over the age of 85 years. Compared with the control group in 2015, an additional 262 more nursing home deaths were identified at 30 days and 433 more deaths at 90 days. The odds of a first hospitalization for those exposed (vs nonexposed) were 1.09 (95% CI, 1.05-1.13) within the first 30 days after the storm and 1.05 (95% CI, 1.02-1.08) at 90 days; the odds of mortality were 1.12 (95% CI, 1.05-1.18) at 30 days and 1.07 (95% CI, 1.03-1.11) at 90 days. Among long-stay residents, the odds of mortality for those exposed to Hurricane Irma were 1.18 (95% CI, 1.08-1.29) times those unexposed and the odds of hospitalization were 1.11 (95% CI, 1.04-1.18) times those unexposed in the post 30-day period.Conclusions and relevanceThe findings of this study suggest that nursing home residents are at considerable risk to the consequences of disasters. These risks may be underreported by state and federal agencies. Long-stay residents, those who have resided in a nursing home for 90 days or more, may be most vulnerable to the consequences of hurricane disasters.
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Project description:ObjectiveTo describe COVID-19 breakthrough infections in two nursing homes (NHs) sites of active COVID-19 clusters despite optimal vaccination coverage.MethodsA cross-sectional study was conducted in two NHs of south-western France, following the investigation of COVID-19 clusters (February-March 2021). SARS-CoV-2-confirmed infection was defined by positive RT-PCR. Antibodies neutralization capacities were tested in a subgroup of fully-vaccinated and seropositive-residents.ResultsOf the 152 residents, 66% were female with median age 87 years (IQR: 80.0-90.2). Overall, 132 (87%) residents received 2 doses of vaccine, 14 (9%) one dose and 6 (4%) were unvaccinated. Forty-seven (31%) residents had confirmed infection (45 (98%) with variant 20I/501Y.V1). All 6 non-vaccinated residents, 4 /14 who had one dose and 37/132 that had two doses, were infected. Of the 39 residents reporting symptoms, 12 and 3 presented severe and critical disease, respectively. One resident with a confirmed infection died. Infected-residents had a median anti-S IgG titre of 19 116.0 (IQR: 3 028.0-39 681.8 AU/mL), 19 times higher than that of non-infected vaccinated persons (1,207.0; IQR: 494.0-2,782.0). In the subgroup of 19 residents tested for neutralizing antibodies, the neutralizing titre (50%) was strongly positively correlated with the anti-S IgG titre (correlation coefficient = 0.83), and 1.5 times higher for the infected than non-infected residents [5.9 (IQR: 5.3-6.9) vs. 3.6 (2.9-3.8)].ConclusionInstitutionalized elderly persons who undergo breakthrough infection develop higher titres of anti-S IgGs, which are strongly correlated with the neutralizing capacity of the antibodies. These results advocate for additional vaccine doses in this population.
| S-EPMC8923035 | biostudies-literature
Project description:AimsMedication reviews by a third party have been introduced as a method to improve drug treatment in older people. We assessed whether this intervention reduces mortality and hospitalization for nursing home residents.MethodsSystematic literature searches were performed (from January 1990 to June 2012) in Medline, EMBASE, Cochrane Library, ProQuest Nursing & Allied Health Sources and Health Technology Assessment databases. We included randomized and nonrandomized controlled trials (RCTs and non-RCTs) of medication reviews compared with standard care or other types of medication reviews in nursing home residents. The outcome variables were mortality and hospitalization. Study quality was assessed systematically. We performed meta-analyses using random-effects models.ResultsSeven RCTs and five non-RCTs fulfilled the inclusion criteria. The mean age of included patients varied between 78 and 86 years. They were treated with a mean of 4-12 drugs. The study quality was assessed as high (n = 1), moderate (n = 4) or low (n = 7). Eight studies compared medication reviews with standard care. In six of them, pharmacists were involved in the intervention. Meta-analyses of RCTs revealed a risk ratio (RR) for mortality of 1.03 [medication reviews vs. standard care; five trials; 95% confidence interval (CI) 0.85-1.23]. The corresponding RR for hospitalization was 1.07 (two trials; 95% CI 0.61-1.87).ConclusionsOur findings indicate that medication reviews for nursing home residents do not reduce mortality or hospitalization. More research in the setting of controlled trials remains to be done in order to clarify how drug treatment can be optimized for these patients.
| S-EPMC4243900 | biostudies-literature
Project description: Not available
| S-EPMC8174028 | biostudies-literature
Project description:BackgroundNursing home residents (NHRs) have experienced disproportionately high risk of severe outcomes due to COVID-19 infection.AimWe investigated the impact of COVID-19 vaccinations and previous SARS-CoV-2 episodes in preventing hospitalization and mortality in NHRs.MethodsRetrospective study of a cohort of all NHRs in our area who were alive at the start of the vaccination campaign. The first three doses of SARS-CoV-2 vaccine and prior COVID-19 infections were registered. The main outcomes were hospital admission and mortality during each follow up. Random effects time-varying Cox models adjusted for age, sex, and comorbidities were fitted to estimate hazard ratios (HRs) according to vaccination status.ResultsCOVID-19 hospitalization and death rates for unvaccinated NHRs were respectively 2.39 and 1.42 per 10,000 person-days, falling after administration of the second dose (0.37 and 0.34) and rising with the third dose (1.08 and 0.8). Rates were much lower amongst people who had previously had COVID-19. Adjusted HRs indicated a significant decrease in hospital admission amongst those with a two- and three-dose status; those who had had a previous COVID-19 infection had even lower hospital admission rates. Death rates decreased as NHRs received two and three doses, and the probability of death was much lower among those who had previously had the infection.ConclusionsThe effectiveness of current vaccines against severe COVID-19 disease in NHRs remains high and SARS-CoV-2 episodes prior to vaccination entail a major reduction in hospitalization and mortality rates. The protection conferred by vaccines appears to decline in the following months.Trial registrationClinicalTrials.gov Identifier: NCT04463706.
| S-EPMC10228436 | biostudies-literature
Project description:ObjectiveTo evaluate the effect of Medicaid bed-hold policies on hospitalization of long-stay nursing home residents.Data sourcesA nationwide random sample of long-stay nursing home residents with data elements from Medicare claims and enrollment files, the Minimum Data Set, the Online Survey Certification and Reporting System, and Area Resource File. The sample consisted of 22,200,089 person-quarters from 754,592 individuals who became long-stay residents in 17,149 nursing homes over the period beginning January 1, 2000 through December 31, 2005.Study designLinear regression models using a pre/post design adjusted for resident, nursing home, market, and state characteristics. Nursing home and year-quarter fixed effects were included to control for time-invariant facility influences and temporal trends associated with hospitalization of long-stay residents.Principal findingsAdoption of a Medicaid bed-hold policy was associated with an absolute increase of 0.493 percentage points (95% CI: 0.039-0.946) in hospitalizations of long-stay nursing home residents, representing a 3.883 percent relative increase over the baseline mean.ConclusionsMedicaid bed-hold policies may increase the likelihood of hospitalization of long-stay nursing home residents and increase costs for the federal Medicare program.
| S-EPMC3737418 | biostudies-literature