Cargando…
Characteristics and prognostic factors of COVID-19 among infected cases: a nationwide Tunisian analysis
BACKGROUND: The outbreak of coronavirus disease (COVID-19) continues to constitute an international public health concern. Few data are available on the duration and prognostic factors of the disease. We aimed to study the recovery time among a Tunisian cohort of COVID-19 confirmed patients and iden...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856618/ https://www.ncbi.nlm.nih.gov/pubmed/33535971 http://dx.doi.org/10.1186/s12879-021-05844-y |
_version_ | 1783646282571579392 |
---|---|
author | Harizi, Chahida Cherif, Ines Najar, Nourhene Osman, Molka Mallekh, Rym Ayed, Oumaima Ben Ayedi, Yosr Dhaouadi, Sonia Hchaichi, Aicha Safer, Mouna Letaief, Hejer Bouaziz, Ilhem Derouiche, Sondes Gharbi, Donia Bouabid, Leila Bougatef, Souha Ben Salah, Hamida Fakhfakh, Radhouane Abid, Salma Ben Boubaker, Ilhem Boutiba Chahed, Mohamed Kouni Ben-Alaya, Nissaf Bouafif |
author_facet | Harizi, Chahida Cherif, Ines Najar, Nourhene Osman, Molka Mallekh, Rym Ayed, Oumaima Ben Ayedi, Yosr Dhaouadi, Sonia Hchaichi, Aicha Safer, Mouna Letaief, Hejer Bouaziz, Ilhem Derouiche, Sondes Gharbi, Donia Bouabid, Leila Bougatef, Souha Ben Salah, Hamida Fakhfakh, Radhouane Abid, Salma Ben Boubaker, Ilhem Boutiba Chahed, Mohamed Kouni Ben-Alaya, Nissaf Bouafif |
author_sort | Harizi, Chahida |
collection | PubMed |
description | BACKGROUND: The outbreak of coronavirus disease (COVID-19) continues to constitute an international public health concern. Few data are available on the duration and prognostic factors of the disease. We aimed to study the recovery time among a Tunisian cohort of COVID-19 confirmed patients and identify the prognostic factors. METHODS: A retrospective, nationwide study was conducted from March 2 to May 8, 2020, recruiting all patients who were diagnosed with COVID-19, by RT-PCR methods, in Tunisia. Data were collected via phone call interview. Kaplan-Meir Methods and Cox proportional hazards regression models were, respectively, used to study the recovery time and estimate its prognostic factors. RESULTS: One thousand and thirty patients with COVID-19 (aged 43.2 ± 18.2 years, 526 female (51.1%)) were enrolled. Among them 141 (14.8%) were healthcare professionals. Out of 173 patients (17.8%) admitted to the hospital, 47 were admitted in an intensive care unit. Among 827 patients who didn’t require specialized care, 55.5% were self-isolated at home, while the rest were in specialized centers. Six hundred and two patients were symptomatic. A total of 634 (61.6%) patients have recovered and 45 (4.4%) patients died. The median duration of illness was estimated to be 31 days (95% CI: [29–32]). Older age (HR = 0.66, CI:[0.46–0.96], P = 0.031) and symptoms (HR = 0.61, CI:[0.43–0.81], P = 0.021) were independently associated with a delay in recovery time. Being a healthcare professional (HR = 1.52, CI: [1.10–2.08], P = 0.011) and patients in home isolation compared to isolation centers (HR = 2.99, CI: [1.85–4.83], P < 10¯(3)) were independently associated with faster recovery time. CONCLUSION: The duration of illness was estimated to be 1 month. However, this long estimated duration of illness may not equate to infectiousness. A particular attention must to be paid to elderly and symptomatic patients with closer monitoring. |
format | Online Article Text |
id | pubmed-7856618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78566182021-02-03 Characteristics and prognostic factors of COVID-19 among infected cases: a nationwide Tunisian analysis Harizi, Chahida Cherif, Ines Najar, Nourhene Osman, Molka Mallekh, Rym Ayed, Oumaima Ben Ayedi, Yosr Dhaouadi, Sonia Hchaichi, Aicha Safer, Mouna Letaief, Hejer Bouaziz, Ilhem Derouiche, Sondes Gharbi, Donia Bouabid, Leila Bougatef, Souha Ben Salah, Hamida Fakhfakh, Radhouane Abid, Salma Ben Boubaker, Ilhem Boutiba Chahed, Mohamed Kouni Ben-Alaya, Nissaf Bouafif BMC Infect Dis Research Article BACKGROUND: The outbreak of coronavirus disease (COVID-19) continues to constitute an international public health concern. Few data are available on the duration and prognostic factors of the disease. We aimed to study the recovery time among a Tunisian cohort of COVID-19 confirmed patients and identify the prognostic factors. METHODS: A retrospective, nationwide study was conducted from March 2 to May 8, 2020, recruiting all patients who were diagnosed with COVID-19, by RT-PCR methods, in Tunisia. Data were collected via phone call interview. Kaplan-Meir Methods and Cox proportional hazards regression models were, respectively, used to study the recovery time and estimate its prognostic factors. RESULTS: One thousand and thirty patients with COVID-19 (aged 43.2 ± 18.2 years, 526 female (51.1%)) were enrolled. Among them 141 (14.8%) were healthcare professionals. Out of 173 patients (17.8%) admitted to the hospital, 47 were admitted in an intensive care unit. Among 827 patients who didn’t require specialized care, 55.5% were self-isolated at home, while the rest were in specialized centers. Six hundred and two patients were symptomatic. A total of 634 (61.6%) patients have recovered and 45 (4.4%) patients died. The median duration of illness was estimated to be 31 days (95% CI: [29–32]). Older age (HR = 0.66, CI:[0.46–0.96], P = 0.031) and symptoms (HR = 0.61, CI:[0.43–0.81], P = 0.021) were independently associated with a delay in recovery time. Being a healthcare professional (HR = 1.52, CI: [1.10–2.08], P = 0.011) and patients in home isolation compared to isolation centers (HR = 2.99, CI: [1.85–4.83], P < 10¯(3)) were independently associated with faster recovery time. CONCLUSION: The duration of illness was estimated to be 1 month. However, this long estimated duration of illness may not equate to infectiousness. A particular attention must to be paid to elderly and symptomatic patients with closer monitoring. BioMed Central 2021-02-03 /pmc/articles/PMC7856618/ /pubmed/33535971 http://dx.doi.org/10.1186/s12879-021-05844-y Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Harizi, Chahida Cherif, Ines Najar, Nourhene Osman, Molka Mallekh, Rym Ayed, Oumaima Ben Ayedi, Yosr Dhaouadi, Sonia Hchaichi, Aicha Safer, Mouna Letaief, Hejer Bouaziz, Ilhem Derouiche, Sondes Gharbi, Donia Bouabid, Leila Bougatef, Souha Ben Salah, Hamida Fakhfakh, Radhouane Abid, Salma Ben Boubaker, Ilhem Boutiba Chahed, Mohamed Kouni Ben-Alaya, Nissaf Bouafif Characteristics and prognostic factors of COVID-19 among infected cases: a nationwide Tunisian analysis |
title | Characteristics and prognostic factors of COVID-19 among infected cases: a nationwide Tunisian analysis |
title_full | Characteristics and prognostic factors of COVID-19 among infected cases: a nationwide Tunisian analysis |
title_fullStr | Characteristics and prognostic factors of COVID-19 among infected cases: a nationwide Tunisian analysis |
title_full_unstemmed | Characteristics and prognostic factors of COVID-19 among infected cases: a nationwide Tunisian analysis |
title_short | Characteristics and prognostic factors of COVID-19 among infected cases: a nationwide Tunisian analysis |
title_sort | characteristics and prognostic factors of covid-19 among infected cases: a nationwide tunisian analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7856618/ https://www.ncbi.nlm.nih.gov/pubmed/33535971 http://dx.doi.org/10.1186/s12879-021-05844-y |
work_keys_str_mv | AT harizichahida characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT cherifines characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT najarnourhene characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT osmanmolka characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT mallekhrym characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT ayedoumaimaben characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT ayediyosr characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT dhaouadisonia characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT hchaichiaicha characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT safermouna characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT letaiefhejer characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT bouazizilhem characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT derouichesondes characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT gharbidonia characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT bouabidleila characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT bougatefsouha characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT bensalahhamida characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT fakhfakhradhouane characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT abidsalma characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT benboubakerilhemboutiba characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT chahedmohamedkouni characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis AT benalayanissafbouafif characteristicsandprognosticfactorsofcovid19amonginfectedcasesanationwidetunisiananalysis |