Long-Term Evolution of Activities of Daily Life (ADLs) in Critically Ill COVID-19 Patients, a Case Series

Author:

Ceruti Samuele1ORCID,Glotta Andrea1ORCID,Biggiogero Maira2,Marzano Martino3,Bona Giovanni2,Previsdomini Marco4ORCID,Saporito Andrea5,Capdevila Xavier6

Affiliation:

1. Department of Critical Care, Clinica Luganese Moncucco, 6900 Lugano, Switzerland

2. Clinical Research Unit, Clinica Luganese Moncucco, 6900 Lugano, Switzerland

3. Department of Internal Medicine, Clinica Luganese Moncucco, 6900 Lugano, Switzerland

4. Department of Intensive Care Medicine, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland

5. Service of Anesthesiology, Ente Ospedaliero Cantonale, 6500 Bellinzona, Switzerland

6. Department of Anesthesia and Intensive Care, Centre Hospitalier Universitaire de Montpellier, 34000 Montpellier, France

Abstract

Background: The most common long-term symptoms of critically ill COVID-19 patients are fatigue, dyspnea and mental confusion. Adequate monitoring of long-term morbidity, mainly analyzing the activities of daily life (ADLs), allows better patient management after hospital discharge. The aim was to report long-term ADL evolution in critically ill COVID-19 patients admitted to a COVID-19 center in Lugano (Switzerland). Methods: A retrospective analysis on consecutive patients discharged alive from ICU with COVID-19 ARDS was performed based on a follow-up one year after hospital discharge; ADLs were assessed through the Barthel index (BI) and the Karnofsky Performance Status (KPS) scale. The primary objective was to assess differences in ADLs at hospital discharge (acute ADLs) and one-year follow-up (chronic ADLs). The secondary objective was to explore any correlations between ADLs and multiple measures at admission and during the ICU stay. Results: A total of 38 consecutive patients were admitted to the ICU; a t-test analysis between acute and chronic ADLs through BI showed a significant improvement at one year post discharge (t = −5.211, p < 0.0001); similarly, every single task of BI showed the same results (p < 0.0001 for each task of BI). The mean KPS was 86.47 (SD 20.9) at hospital discharge and 99.6 at 1 year post discharge (p = 0.02). Thirteen (34%) patients deceased during the first 28 days in the ICU; no patient died after hospital discharge. Conclusions: Based on BI and KPS, patients reached complete functional recovery of ADLs one year after critical COVID-19.

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference74 articles.

1. The Novel Coronavirus Originating in Wuhan, China: Challenges for Global Health Governance;Phelan;JAMA J. Am. Med. Assoc.,2020

2. Critical Care Utilization for the COVID-19 Outbreak in Lombardy, Italy: Early Experience and Forecast during an Emergency Response;Grasselli;JAMA J. Am. Med. Assoc.,2020

3. Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: A scoping review;Adhikari;Infect. Dis. Poverty,2020

4. (2022, June 01). Johns Hopkins Coronavirus Resource Center Cumulative Cases-Johns Hopkins Coronavirus Resource Center. Available online: https://coronavirus.jhu.edu/data/cumulative-cases.

5. Clinical Characteristics of 138 Hospitalized Patients with 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China;Wang;JAMA J. Am. Med. Assoc.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3