Literature DB >> 33800020

Trends of COVID-19 Admissions in an Italian Hub during the Pandemic Peak: Large Retrospective Study Focused on Older Subjects.

Andrea Ticinesi1, Antonio Nouvenne1, Nicoletta Cerundolo1, Alberto Parise1, Beatrice Prati1, Angela Guerra1,2, Tiziana Meschi1,2.   

Abstract

Older multimorbid frail subjects have been severely involved in the coronavirus disease-19 (COVID-19) pandemic. The aim of this retrospective study is to compare the clinical features and outcomes of patients admitted in different phases of the outbreak in a COVID-19 hospital hub, with a particular focus on age, multimorbidity, and functional dependency. The clinical records of 1264 patients with clinical and radiological features compatible with COVID-19 pneumonia admitted in February-June, 2020, were analyzed, retrieving demographical, clinical, laboratory data, and outcomes. All variables were compared after stratification by the period of admission (first phase: rising slope of pandemic wave; second phase: plateau and falling slope), age, results of the first reverse transcriptase-polymerase chain reaction (RT-PCR) test for detection of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2), multimorbidity (≥2 chronic diseases), and presence of disability. Factors independently associated with hospital mortality were determined by multivariate forward-selection logistic regression. Patients admitted during the second phase were older, more frequently multimorbid, disabled, and of female gender. However, on admission they exhibited milder respiratory impairment (PaO2/FiO2 268, IQR 174-361, vs. 238, IQR 126-327 mmHg, p < 0.001) and lower mortality (22% vs. 27%, p < 0.001). Age, respiratory exchanges, positive RT-PCR test, number of chronic diseases (odds ratio (OR) 1.166, 95% confidence interval (CI) 1.036-1.313, p = 0.011), and disability (OR 1.927, 95% CI 1.027-3.618, p = 0.022) were positively associated with mortality, while admission during the second phase exhibited an inverse association (OR 0.427, 95% CI 0.260-0.700, p = 0.001). In conclusion, older multimorbid patients were mainly hospitalized during the second phase of the pandemic wave. The prognosis was strongly influenced by the COVID-19 phenotype and period of admission, not just by age, multimorbidity, and disability.

Entities:  

Keywords:  SARS-CoV-2; comorbidity; frailty; prognostic factors; temporal trends

Year:  2021        PMID: 33800020      PMCID: PMC7962097          DOI: 10.3390/jcm10051115

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  50 in total

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8.  SARS-CoV-2 viral load predicts COVID-19 mortality.

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9.  Frequency and characterization of ancillary chest CT findings in COVID-19 pneumonia.

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Journal:  Br J Radiol       Date:  2021-01-20       Impact factor: 3.039

10.  Age, Frailty, and Comorbidity as Prognostic Factors for Short-Term Outcomes in Patients With Coronavirus Disease 2019 in Geriatric Care.

Authors:  Sara Hägg; Juulia Jylhävä; Yunzhang Wang; Hong Xu; Carina Metzner; Martin Annetorp; Sara Garcia-Ptacek; Masih Khedri; Anne-Marie Boström; Ahmadul Kadir; Anna Johansson; Miia Kivipelto; Maria Eriksdotter; Tommy Cederholm; Dorota Religa
Journal:  J Am Med Dir Assoc       Date:  2020-08-14       Impact factor: 7.802

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  5 in total

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2.  The Role of Demographic, Clinical, and Laboratory Characteristics in Predicting the In-Hospital Outcomes of Patients With COVID-19.

Authors:  Diyaa H Bokhary; Nidal H Bokhary; Lamees E Seadawi; Ahlam M Moafa; Hashim H Khairallah; Abdullah Bakhsh
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3.  Co-Administration of Remdesivir and Azithromycin May Protect against Intensive Care Unit Admission in COVID-19 Pneumonia Requiring Hospitalization: A Real-Life Observational Study.

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4.  Association between multimorbidity and hospitalization in older adults: systematic review and meta-analysis.

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5.  Patient Characteristics and Clinical Course of COVID-19 Patients Treated at a German Tertiary Center during the First and Second Waves in the Year 2020.

Authors:  Thomas Theo Brehm; Andreas Heyer; Kevin Roedl; Dominik Jarczak; Axel Nierhaus; Michael F Nentwich; Marc van der Meirschen; Alexander Schultze; Martin Christner; Walter Fiedler; Nicolaus Kröger; Tobias B Huber; Hans Klose; Martina Sterneck; Sabine Jordan; Benno Kreuels; Stefan Schmiedel; Marylyn M Addo; Samuel Huber; Ansgar W Lohse; Stefan Kluge; Julian Schulze Zur Wiesch
Journal:  J Clin Med       Date:  2021-05-24       Impact factor: 4.241

  5 in total

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