Author: SeyedAlinaghi, SeyedAhmad; Abbasian, Ladan; Solduzian, Mohammad; Ayoobi Yazdi, Niloofar; Jafari, Fatemeh; Adibimehr, Alireza; Farahani, Aazam; Salami Khaneshan, Arezoo; Ebrahimi Alavijeh, Parvaneh; Jahani, Zahra; Karimian, Elnaz; Ahmadinejad, Zahra; Khalili, Hossein; Seifi, Arash; Ghiasvand, Fereshteh; Ghaderkhani, Sara; Rasoolinejad, Mehrnaz
Title: Predictors of the prolonged recovery period in COVID-19 patients: a cross-sectional study Cord-id: gz2i2vp6 Document date: 2021_5_6
ID: gz2i2vp6
Snippet: BACKGROUND: The clinical course of COVID-19 may vary significantly. The presence of comorbidities prolongs the recovery time. The recovery in patients with mild-to-moderate symptoms might take 10 days, while in those with a critical illness or immunocompromised status could take 15 days. Considering the lack of data about predictors that could affect the recovery time, we conducted this study to identify them. METHODS: This cross-sectional study was implemented in the COVID-19 clinic of a teachi
Document: BACKGROUND: The clinical course of COVID-19 may vary significantly. The presence of comorbidities prolongs the recovery time. The recovery in patients with mild-to-moderate symptoms might take 10 days, while in those with a critical illness or immunocompromised status could take 15 days. Considering the lack of data about predictors that could affect the recovery time, we conducted this study to identify them. METHODS: This cross-sectional study was implemented in the COVID-19 clinic of a teaching and referral university hospital in Tehran. Patients with the highly suggestive symptoms who had computed tomography (CT) imaging results with typical findings of COVID-19 or positive results of reverse transcriptase-polymerase chain reaction (RT-PCR) were enrolled in the study. Inpatient and outpatient COVID-19 participants were followed up by regular visits or phone calls, and the recovery period was recorded. RESULTS: A total of 478 patients were enrolled. The mean age of patients was 54.11 ± 5.65 years, and 44.2% were female. The median time to recovery was 13.5 days (IQR: 9). Although in the bivariate analysis, multiple factors, including hypertension, fever, diabetes mellitus, gender, and admission location, significantly contributed to prolonging the recovery period, in multivariate analysis, only dyspnea had a significant association with this variable (p = 0.02, the adjusted OR of 2.05; 95% CI 1.12–3.75). CONCLUSION: This study supports that dyspnea is a predictor of recovery time. It seems like optimal management of the comorbidities plays the most crucial role in recovery from COVID-19.
Search related documents:
Co phrase search for related documents- acute ards respiratory distress syndrome and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
- acute ards respiratory distress syndrome and logistic regression model multivariate: 1, 2, 3
- acute ards respiratory distress syndrome and long duration: 1, 2, 3, 4
- acute ards respiratory distress syndrome and long term treatment: 1, 2
- acute ards respiratory distress syndrome and lopinavir ritonavir: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute ards respiratory distress syndrome and lymphocyte count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute ards respiratory distress syndrome and lymphopenia increase: 1
- acute respiratory and admission place: 1, 2, 3, 4
- acute respiratory and admission rate: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute respiratory and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute respiratory and logistic regression model multivariate: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
- acute respiratory and long duration: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute respiratory and long term treatment: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute respiratory and lopinavir ritonavir: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute respiratory and lymphocyte count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute respiratory and lymphopenia increase: 1, 2, 3, 4
- acute respiratory syndrome and admission place: 1, 2, 3
- acute respiratory syndrome and admission rate: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- acute respiratory syndrome and logistic regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
Co phrase search for related documents, hyperlinks ordered by date