Correlation of COVID-19 Mortality with Clinical Parameters in an Urban and Suburban Nursing Home Population
Kirby, R. S.; Kirby, J. A.
Show abstract
Importance and ObjectiveCOVID-19 has a high mortality rate amongst nursing home populations (26.4% nationally and 28.3% in New Jersey). Identification of factors influencing mortality in COVID-19 positive nursing home populations may help direct physicians towards appropriate glycemic, blood pressure, weight, kidney function, lipid, thyroid, and hematologic management to reduce COVID-19 mortality. Design, Setting, and ParticipantsRetrospective cross-sectional study of patients in two nursing home facilities (one urban, one suburban) from 3/16/2020 to 7/13/2020 with positive COVID-19 PCR assays. Age, race, sex, lipids, hematologic parameters, body mass index, blood pressure, thyroid function, albumin, blood urea nitrogen, creatinine, and hemoglobin A1c were correlated with COVID-19 mortality by chi-squared analysis. Main Outcome and Results56 patients met the inclusion criteria for the study. Mortality was 14.3% while the New Jersey nursing home average mortality rate was 28.3% as of August 2020. Our patient cohort had a 49.5% reduction in mortality compared to the state average. In our overall cohort, none of the clinical parameters correlated with COVID-19 mortality using chi-squared analysis. In the 56 patient cohort, average clinical and laboratory findings were 74.0 years, 62.5% female, 28.5% uncontrolled hypertension, BMI 25.6, hemoglobin A1c 6.4, TSH 2.4, vitamin B12 568.3, folate 12.4, iron 47.8, total iron binding capacity 271.8, hemoglobin 11.6, albumin 3.5, triglycerides 100.3, total cholesterol 133.5, HDL 40.9, and BUN to Creatinine ratio 22.2:1. Logistic multivariate regression analyses failed to demonstrate clinically significant correlation with COVID-19 mortality. In the urban nursing home, BUN to creatinine ratio exceeding 20:1 was the only factor that showed statistical significance to COVID-19 mortality (p = 0.03). In the suburban nursing home, age over 80 was the only clinical factor demonstrating statistical significance to COVID-19 mortality (p = 0.003). Conclusions and RelevanceIn our COVID-19 positive nursing home patients, no one parameter was clinically significant in the overall 56-patient cohort; however, mortality in our population was 14.3% compared to New Jerseys 28.3%, a 49.5% reduction in mortality. Rigorous control of the aforementioned clinical parameters may have contributed to this reduction in mortality. Further research requires analysis of more nursing home patients to determine whether rigorous control of clinical parameters decreases mortality from COVID-19. Key PointsO_ST_ABSQuestionC_ST_ABSWhat clinical parameters lead to a lower mortality rate in nursing home patients with COVID-19? FindingsIn this cross-sectional analysis of 56 SARS-CoV-2 positive New Jersey nursing home residents from March to July 2020, controlling hemoglobin A1c, blood pressure, hematologic and lipid panels to recommended levels yielded a mortality rate of 14.3%, a 49.5% reduction from the 28.3% mortality rate of COVID-19 in New Jersey nursing homes. MeaningMaintaining rigorous control of clinical parameters in nursing home populations may account for a decreased mortality rate of COVID-19.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Continued Age Shift of Confirmed Positive COVID-19 Incidence Over Time to Children and Young Adults: Washington State March - August 2020 92%
- Harnessing Digital Health to Objectively Assess Cognitive Impairment in People undergoing Hemodialysis Process: The Impact of Cognitive Impairment on Mobility Performance Measured by Wearables 92%
- Evaluating the predictive value of frailty scores for critical care admission and hospital stay in elderly surgical patients: a comparison of the mFI-5 and CCI 92%
Similar papers in this journal
- Clinical Characteristics of Hospitalized Covid-19 Patients in New York City 93%
- Predictors of adverse outcome in patients with suspected COVID-19 managed in a ‘virtual hospital’ setting: a cohort study 93%
- Assessing the Safety of Home Oximetry for Covid-19: A multi-site retrospective observational study 93%
Similar papers in this journal
- Clinical Suspicion of COVID-19 in Nursing Home residents: symptoms and mortality risk factors 92%
- Nurse-physician Communication around Identifying Palliative Care Needs in Nursing Home Residents 91%
- Temporal Associations between Community Incidence of COVID-19 and Nursing Home Outbreaks in Ontario, Canada 91%
Similar papers in this journal
- Can we clinically identify pre-symptomatic and asymptomatic COVID-19? 92%
- Assessment of Infection Prevention and Control Protocols, Procedures, and Implementation in Response to the COVID-19 Pandemic in Twenty-three Long-term Care Facilities in Fulton County, Georgia 90%
- Geographic Variation in Influenza Vaccination among US Nursing Home Residents: A National Study 89%
Similar papers in this journal
- Real-time Auditory Feedback for Improving Gait and Walking in People with Parkinson’s Disease: A Pilot and Feasibility Trial 90%
- Mobile Phone Virtual Reality Game for Pediatric Home Burn Dressing Pain Management, a Randomized Clinical Trial 89%
- Improving cardiovascular health in patients with an abdominal aortic aneurysm: Development of the Cardiovascular risk reduction in patients with aneurysms (CRISP) behaviour change intervention 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.