scholarly journals Risk Factors for Falls and Injuries in a Long-Term Care Facility in Ontario

2001 ◽  
Vol 92 (2) ◽  
pp. 117-120 ◽  
Author(s):  
Paul D. Krueger ◽  
Kevin Brazil ◽  
Lynne H. Lohfeld
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Care Facility ◽  
Term Care ◽  
Term Care Facility ◽  
Long Term Care Facility ◽  
Risk Factors For Falls

scholarly journals Risk factors for COVID-19 diagnosis, hospitalization, and subsequent all-cause mortality in Sweden: a nationwide study

2021 ◽  
Vol 36 (3) ◽  
pp. 287-298
Author(s):  
Jonathan Bergman ◽  
Marcel Ballin ◽  
Anna Nordström ◽  
Peter Nordström
Keyword(s):  
Risk Factors ◽  
Down Syndrome ◽  
Long Term Care ◽  
Care Facility ◽  
Prescription Medication ◽  
Term Care ◽  
Term Care Facility ◽  
Long Term Care Facility ◽  
All Cause Mortality

AbstractWe conducted a nationwide, registry-based study to investigate the importance of 34 potential risk factors for coronavirus disease 2019 (COVID-19) diagnosis, hospitalization (with or without intensive care unit [ICU] admission), and subsequent all-cause mortality. The study population comprised all COVID-19 cases confirmed in Sweden by mid-September 2020 (68,575 non-hospitalized, 2494 ICU hospitalized, and 13,589 non-ICU hospitalized) and 434,081 randomly sampled general-population controls. Older age was the strongest risk factor for hospitalization, although the odds of ICU hospitalization decreased after 60–69 years and, after controlling for other risk factors, the odds of non-ICU hospitalization showed no trend after 40–49 years. Residence in a long-term care facility was associated with non-ICU hospitalization. Male sex and the presence of at least one investigated comorbidity or prescription medication were associated with both ICU and non-ICU hospitalization. Three comorbidities associated with both ICU and non-ICU hospitalization were asthma, hypertension, and Down syndrome. History of cancer was not associated with COVID-19 hospitalization, but cancer in the past year was associated with non-ICU hospitalization, after controlling for other risk factors. Cardiovascular disease was weakly associated with non-ICU hospitalization for COVID-19, but not with ICU hospitalization, after adjustment for other risk factors. Excess mortality was observed in both hospitalized and non-hospitalized COVID-19 cases. These results confirm that severe COVID-19 is related to age, sex, and comorbidity in general. The study provides new evidence that hypertension, asthma, Down syndrome, and residence in a long-term care facility are associated with severe COVID-19.

scholarly journals Risk factors for pneumonia and influenza hospitalizations in long-term care facility residents: a retrospective cohort study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Patience Moyo ◽  
Andrew R. Zullo ◽  
Kevin W. McConeghy ◽  
Elliott Bosco ◽  
Robertus van Aalst ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Long Term Care ◽  
Care Facility ◽  
Term Care ◽  
Term Care Facility ◽  
Long Term Care Facility

scholarly journals Risk factors for development of aminoglycoside resistance among gram-negative rods

2019 ◽  
Vol 76 (22) ◽  
pp. 1838-1847
Author(s):  
Stefan E Richter ◽  
Loren Miller ◽  
Jack Needleman ◽  
Daniel Z Uslan ◽  
Douglas Bell ◽  
...  
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Care Facility ◽  
Aminoglycoside Resistance ◽  
Term Care ◽  
Gram Negative ◽  
Term Care Facility ◽  
Long Term Care Facility ◽  
C Statistic

Abstract Purpose Development of scoring systems to predict the risk of aminoglycoside resistance and to guide therapy is described. Methods Infections due to aminoglycoside-resistant gram-negative rods (AR-GNRs) are increasingly common and associated with adverse outcomes; selection of effective initial antibiotic therapy is necessary to reduce adverse consequences and shorten length of stay. To determine risk factors for AR-GNR recovery from culture, cases of GNR infection among patients admitted to 2 institutions in a major academic hospital system during the period 2011–2016 were retrospectively analyzed. Gentamicin and tobramycin resistance (GTR-GNR) and amikacin resistance (AmR-GNR) patterns were analyzed separately. A total of 26,154 GNR isolates from 12,516 patients were analyzed, 6,699 of which were GTR, and 2,467 of which were AmR. Results In multivariate analysis, risk factors for GTR-GNR were presence of weight loss, admission from another medical or long-term care facility, a hemoglobin level of <11 g/dL, receipt of any carbapenem in the prior 30 days, and receipt of any fluoroquinolone in the prior 30 days (C statistic, 0.63). Risk factors for AmR-GNR were diagnosis of cystic fibrosis, male gender, admission from another medical or long-term care facility, ventilation at any point prior to culture during the index hospitalization, receipt of any carbapenem in the prior 30 days, and receipt of any anti-MRSA agent in the prior 30 days (C statistic, 0.74). Multinomial and ordinal models demonstrated that the risk factors for the 2 resistance patterns differed significantly. Conclusion A scoring system derived from the developed risk prediction models can be applied by providers to guide empirical antimicrobial therapy for treatment of GNR infections.

A Norovirus Outbreak at a Long-Term-Care Facility: The Role of Environmental Surface Contamination

2005 ◽  
Vol 26 (10) ◽  
pp. 802-810 ◽  
Author(s):  
Henry M. Wu ◽  
Mary Fornek ◽  
Kellogg J. Schwab ◽  
Amy R. Chapin ◽  
Kristen Gibson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Care Facility ◽  
Rt Pcr ◽  
Term Care ◽  
Term Care Facility ◽  
Long Term Care Facility ◽  
Environmental Surface

AbstractBackground:The role of environmental surface contamination in the propagation of norovirus outbreaks is unclear. An outbreak of acute gastroenteritis was reported among residents of a 240-bed veterans long-term-care facility.Objectives:To identify the likely mode of transmission, to characterize risk factors for illness, and to evaluate for environmental contamination in this norovirus outbreak.Methods:An outbreak investigation was conducted to identify risk factors for illness among residents and employees. Stool and vomitus samples were tested for norovirus by reverse transcription polymerase chain reaction (RT-PCR). Fourteen days after outbreak detection, ongoing cases among the residents prompted environmental surface testing for norovirus by RT-PCR.Results:One hundred twenty-seven (52%) of 246 residents and 84 (46%) of 181 surveyed employees had gastroenteritis. Case-residents did not differ from non-case-residents by comorbidities, diet, room type, or level of mobility. Index cases were among the nursing staff. Eight of 11 resident stool or vomitus samples tested positive for genogroup II norovirus. The all-cause mortality rate during the month of the outbreak peak was significantly higher than the expected rate. Environmental surface swabs from case-resident rooms, a dining room table, and an elevator button used only by employees were positive for norovirus. Environmental and clinical norovirus sequences were identical.Conclusion:Extensive contamination of environmental surfaces may play a role in prolonged norovirus outbreaks and should be addressed in control interventions.

scholarly journals Risks and Prognoses of Alzheimer's Disease and Vascular Dementia in Patients With Insomnia: A Nationwide Population-Based Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Min Seok Baek ◽  
Kyungdo Han ◽  
Hyuk-Sung Kwon ◽  
Yong-ho Lee ◽  
Hanna Cho ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Vascular Dementia ◽  
Cardiovascular Risk Factors ◽  
Long Term Care ◽  
Care Facility ◽  
Term Care ◽  
Term Care Facility ◽  
Long Term Care Facility

This study aimed to investigate the risk and prognosis of Alzheimer's disease (AD) and vascular dementia (VaD) in patients with insomnia using the National Health Insurance Service database covering the entire population of the Republic of Korea from 2007 to 2014. In total, 2,796,871 patients aged 40 years or older with insomnia were enrolled, and 5,593,742 controls were matched using a Greedy digit match algorithm. Mortality and the rate of admission to a long-term care facility were estimated using multivariable Cox analysis. Of all patients with insomnia, 138,270 (4.94%) and 26,706 (0.96%) were newly diagnosed with AD and VaD, respectively. The incidence rate ratios for AD and VaD were 1.73 and 2.10, respectively, in patients with insomnia compared with those without. Higher mortality rates and long-term care facility admission rates were also observed in patients with dementia in the insomnia group. Known cardiovascular risk factors showed interactions with the effects of insomnia on the risk of AD and VaD. However, the effects of insomnia on the incidence of AD and VaD were consistent between the groups with and without cardiovascular risk factors. Insomnia is a medically modifiable and policy-accessible risk factor and prognostic marker of AD and VaD.

scholarly journals Clinical features and risk factors for mortality among long-term care facility residents hospitalized due to COVID-19 in Spain

2021 ◽  
Author(s):  
José-Manuel Ramos-Rincón ◽  
Máximo Bernabeu-Whittel ◽  
Isabel Fiteni-Mera ◽  
Almudena López-Sampalo ◽  
Carmen López-Ríos ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Long Term Care ◽  
Functional Dependence ◽  
Care Facility ◽  
Community Dwelling ◽  
Term Care ◽  
Term Care Facility ◽  
Long Term Care Facility

Abstract Background COVID-19 severely impacted older adults and long-term care facility (LTCF) residents. Our primary aim was to describe differences in clinical and epidemiological variables, in-hospital management, and outcomes between LTCF residents and community-dwelling older adults hospitalized with COVID-19. The secondary aim was to identify risk factors for mortality due to COVID-19 in hospitalized LTCF residents. Methods This is a cross-sectional analysis within a retrospective cohort of hospitalized patients≥75 years with confirmed COVID-19 admitted to 160 Spanish hospitals. Differences between groups and factors associated with mortality among LTCF residents were assessed through comparisons and logistic regression analysis. Results Of 6,189 patients≥75 years, 1,185 (19.1%) were LTCF residents and 4,548 (73.5%) were community-dwelling. LTCF residents were older (median: 87.4 vs. 82.1 years), mostly female (61.6% vs. 43.2%), had more severe functional dependence (47.0% vs 7.8%), more comorbidities (Charlson Comorbidity Index: 6 vs 5), had dementia more often (59.1% vs. 14.4%), and had shorter duration of symptoms (median: 3 vs 6 days) than community-dwelling patients (all, p<.001). Mortality risk factors in LTCF residents were severe functional dependence (aOR:1.79;95%CI:1.13-2.83;p=.012), dyspnea (1.66;1.16-2.39;p=.004), SatO2<94% (1.73;1.27-2.37;p=.001), temperature≥37.8ºC (1.62;1.11-2.38; p=.013); qSOFA index≥2 (1.62;1.11-2.38;p=.013), bilateral infiltrates (1.98;1.24-2.98;p<.001), and high C-reactive protein (1.005;1.003-1.007;p<.001). In-hospital mortality was initially higher among LTCF residents (43.3% vs 39.7%), but lower after adjusting for sex, age, functional dependence, and comorbidities (aOR:0.74,95%CI:0.62-0.87;p<.001). Conclusion Basal functional status and COVID-19 severity are risk factors of mortality in LTCF residents. The lower adjusted mortality rate in LTCF residents may be explained by earlier identification, treatment, and hospitalization for COVID-19.

scholarly journals Risk Factors for Colonization with Yeast Species in a Veterans Affairs Long-term Care Facility

1998 ◽  
Vol 46 (7) ◽  
pp. 849-853 ◽  
Author(s):  
Sara A. Hedderwick ◽  
Jim Y. Wan ◽  
Suzanne F. Bradley ◽  
Jon A. Sangeorzan ◽  
Margaret S. Terpenning ◽  
...  
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Yeast Species ◽  
Care Facility ◽  
Veterans Affairs ◽  
Term Care ◽  
Term Care Facility ◽  
Long Term Care Facility

scholarly journals 77. Long Term Care Facility Residents Hospitalized with COVID-19 Infection Present with Atypical Symptoms

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S169-S170
Author(s):  
Aurora E Pop-Vicas ◽  
Ambar Haleem ◽  
Fauzia Osman ◽  
Daniel Shirley ◽  
Robert Striker ◽  
...  
Keyword(s):  
Risk Factors ◽  
Long Term Care ◽  
Univariate Analysis ◽  
Clinical Manifestations ◽  
Care Facility ◽  
Term Care ◽  
Term Care Facility ◽  
Long Term Care Facility ◽  
Atypical Presentations

Abstract Background Fever and cough are frequently reported in COVID-19 infections, although little is known about the subgroup of symptomatic patients who do not manifest these classic symptoms. We aimed to compare clinical manifestations and outcomes for hospitalized COVID-19 patients with typical vs. atypical presentations and identify risk factors for atypical COVID-19 presentations. Methods We conducted a retrospective cohort of all patients hospitalized with laboratory-confirmed COVID-19 infections during 3/13- 5/13/2020 at UW Health, a network of 3 acute-care hospitals in Midwest. We defined atypical cases as patients hospitalized for COVID-19 related reasons presenting without fever and cough and compared them in univariate analysis with patients manifesting both symptoms (controls). We identified independent risk factors for atypical COVID-19 presentations by logistic regression. Results Among the 163 patients hospitalized during the 60-day study frame, 39 (24%) had atypical presentations. Table 1 shows demographic, clinical manifestations, and outcomes of atypical vs. typical cases. On univariate analysis, atypical cases were more likely to be older, reside in a long-term-care facility (LTCF), have underlying diabetes mellitus, stroke, cardiac disease, and deny myalgias or dyspnea, despite having no significant difference in the prevalence of hypoxia or radiological lung infiltrates. Atypical cases also had a significantly higher Beta-Natriuretic-Peptide and lower C-Reactive-Protein, although other inflammatory markers were not significantly different. They were less likely to be admitted to the ICU, and more likely to die within 30 days, as older patients with respiratory failure and multiple comorbidities opted for comfort measures and less aggressive care. On multivariate analysis, LTCF residence was the only independent predictor for atypical status (Table 2). Conclusion LTCF residents are more likely to experience COVID-19 respiratory illness (hypoxia, pneumonia) without classic symptoms (fever, cough, myalgias, dyspnea). Given the excessive pandemic burden in the LTCF setting, timely recognition and diagnosis of these atypical, more subtle presentations is critical. Disclosures All Authors: No reported disclosures

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