Literature DB >> 33724987

Predictors of infection, symptoms development, and mortality in people with SARS-CoV-2 living in retirement nursing homes.

Andrea De Vito1, Vito Fiore1, Elija Princic1, Nicholas Geremia1, Catello Mario Panu Napodano1, Alberto Augusto Muredda1, Ivana Maida1, Giordano Madeddu1,2, Sergio Babudieri1.   

Abstract

INTRODUCTION: Since the start of the pandemic, millions of people have been infected, with thousands of deaths. Many foci worldwide have been identified in retirement nursing homes, with a high number of deaths. Our study aims were to evaluate the spread of SARS-CoV-2 in the retirement nursing homes, the predictors to develop symptoms, and death. METHODS AND
FINDINGS: We conducted a retrospective study enrolling all people living in retirement nursing homes (PLRNH), where at least one SARS-CoV-2 infected person was present. Medical and clinical data were collected. Variables were compared with Student's t-test or Pearson chi-square test as appropriate. Uni- and multivariate analyses were conducted to evaluate variables' influence on infection and symptoms development. Cox proportional-hazards model was used to evaluate 30 days mortality predictors, considering death as the dependent variable. We enrolled 382 subjects. The mean age was 81.15±10.97 years, and males were 140(36.7%). At the multivariate analysis, mental disorders, malignancies, and angiotensin II receptor blockers were predictors of SARS-CoV-2 infection while having a neurological syndrome was associated with a lower risk. Only half of the people with SARS-CoV-2 infection developed symptoms. Chronic obstructive pulmonary disease and neurological syndrome were correlated with an increased risk of developing SARS-CoV-2 related symptoms. Fifty-six (21.2%) people with SARS-CoV-2 infection died; of these, 53 died in the first 30 days after the swab's positivity. Significant factors associated with 30-days mortality were male gender, hypokinetic disease, and the presence of fever and dyspnea. Patients' autonomy and early heparin treatment were related to lower mortality risk.
CONCLUSIONS: We evidenced factors associated with infection's risk and death in a setting with high mortality such as retirement nursing homes, that should be carefully considered in the management of PLRNH.

Entities:  

Year:  2021        PMID: 33724987     DOI: 10.1371/journal.pone.0248009

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  22 in total

1.  Mental and neurological disorders and risk of COVID-19 susceptibility, illness severity and mortality: A systematic review, meta-analysis and call for action.

Authors:  Lin Liu; Shu-Yu Ni; Wei Yan; Qing-Dong Lu; Yi-Miao Zhao; Ying-Ying Xu; Huan Mei; Le Shi; Kai Yuan; Ying Han; Jia-Hui Deng; Yan-Kun Sun; Shi-Qiu Meng; Zheng-Dong Jiang; Na Zeng; Jian-Yu Que; Yong-Bo Zheng; Bei-Ni Yang; Yi-Miao Gong; Arun V Ravindran; Thomas Kosten; Yun Kwok Wing; Xiang-Dong Tang; Jun-Liang Yuan; Ping Wu; Jie Shi; Yan-Ping Bao; Lin Lu
Journal:  EClinicalMedicine       Date:  2021-09-08

2.  Mood Reactive Disorders among COVID-19 Inpatients: Experience from a Monocentric Cohort.

Authors:  Vito Fiore; Andrea De Vito; Chiara Fanelli; Nicholas Geremia; Elija Princic; Alessandra Nivoli; Ivana Maida; Liliana Lorettu; Giordano Madeddu; Sergio Babudieri
Journal:  Med Princ Pract       Date:  2021-09-28       Impact factor: 1.927

Review 3.  Renin-Angiotensin Aldosterone System Inhibitors and COVID-19: A Systematic Review and Meta-Analysis Revealing Critical Bias Across a Body of Observational Research.

Authors:  Jordan Loader; Frances C Taylor; Erik Lampa; Johan Sundström
Journal:  J Am Heart Assoc       Date:  2022-05-27       Impact factor: 6.106

4.  Clinical features and prognostic factors of intensive and non-intensive 1014 COVID-19 patients: an experience cohort from Alahsa, Saudi Arabia.

Authors:  Saad Alhumaid; Abbas Al Mutair; Zainab Al Alawi; Khulud Al Salman; Nourah Al Dossary; Ahmed Omar; Mossa Alismail; Ali M Al Ghazal; Mahdi Bu Jubarah; Hanan Al Shaikh; Maher M Al Mahdi; Sarah Y Alsabati; Dayas K Philip; Mohammed Y Alyousef; Abdulsatar H Al Brahim; Maitham S Al Athan; Salamah A Alomran; Hatim S Ahmed; Haifa Al-Shammari; Alyaa Elhazmi; Ali A Rabaan; Jaffar A Al-Tawfiq; Awad Al-Omari
Journal:  Eur J Med Res       Date:  2021-05-24       Impact factor: 2.175

Review 5.  Characterization of SARS-CoV-2 different variants and related morbidity and mortality: a systematic review.

Authors:  SeyedAhmad SeyedAlinaghi; Pegah Mirzapour; Omid Dadras; Zahra Pashaei; Amirali Karimi; Mehrzad MohsseniPour; Mahdi Soleymanzadeh; Alireza Barzegary; Amir Masoud Afsahi; Farzin Vahedi; Ahmadreza Shamsabadi; Farzane Behnezhad; Solmaz Saeidi; Esmaeil Mehraeen
Journal:  Eur J Med Res       Date:  2021-06-08       Impact factor: 2.175

6.  The Risk of COVID-19 Related Hospitalsation, Intensive Care Unit Admission and Mortality in People With Underlying Asthma or COPD: A Systematic Review and Meta-Analysis.

Authors:  Shahina Pardhan; Samantha Wood; Megan Vaughan; Mike Trott
Journal:  Front Med (Lausanne)       Date:  2021-06-16

7.  Elevated De Ritis Ratio Is Associated With Poor Prognosis in COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Raymond Pranata; Ian Huang; Michael Anthonius Lim; Emir Yonas; Rachel Vania; Antonia Anna Lukito; Sally Aman Nasution; Bambang Budi Siswanto; Raden A Tuty Kuswardhani
Journal:  Front Med (Lausanne)       Date:  2021-12-22

8.  COVID-19 outbreaks in nursing homes: A strong link with the coronavirus spread in the surrounding population, France, March to July 2020.

Authors:  Muriel Rabilloud; Benjamin Riche; Jean François Etard; Mad-Hélénie Elsensohn; Nicolas Voirin; Thomas Bénet; Jean Iwaz; René Ecochard; Philippe Vanhems
Journal:  PLoS One       Date:  2022-01-07       Impact factor: 3.240

9.  CT-based radiomic nomogram for predicting the severity of patients with COVID-19.

Authors:  Hengfeng Shi; Zhihua Xu; Weiqun Ao; Jian Wang; Guohua Cheng; Hongli Ji; Linyang He; Juan Zhu; Hanjin Hu; Zongyu Xie
Journal:  Eur J Med Res       Date:  2022-01-25       Impact factor: 2.175

10.  Impact of Computed Tomography-Quantified Emphysema Score on Clinical Outcome in Patients with COVID-19.

Authors:  Jae-Kwang Lim; Byunggeon Park; Jongmin Park; Keum-Ju Choi; Chi-Young Jung; Young Hwan Kim; Jin Young Kim; Sungjun Moon; Yong Hoon Lee; Jaehee Lee
Journal:  Int J Gen Med       Date:  2021-07-12
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