Dataset Information

Factors predicting readmission in patients with COVID-19.

ABSTRACT:

Objective

COVID-19 has been introduced by the World Health Organization as a health emergency worldwide. Up to 9% of the patients with COVID-19 may be readmitted by 2 months after discharge. This study aimed to estimate the readmission rate and identify main risk factors for readmission in these patients. In this prospective study, 416 discharged COVID patients followed up with a minimum 1 month and the readmission rate was recorded. Evaluated characteristics included time of readmission, age and sex, main symptoms of disease, result of computed tomography scan, reverse transcription polymerase chain reaction test and treatment modalities.

Results

Regarding readmission, 51 patients of 416 discharged patients, was readmitted during the study period. The rate of readmission for 30 and 60 days after discharge was 7.6% and 8.1%, respectively. The median age of the readmitted patients was 67 years (IQR: 53-78). About 65% of readmitted patients had underlying disease. The most significant factor in readmission rate was related to the site of lung involvement (OR > 4). Age over 60 years, underlying disease especially diabetes (OR = 3.43), high creatinine level (≥ to 1.2 mg/dl) (OR = 2.15) were the most important predictors of readmission.

SUBMITTER: Nematshahi M

PROVIDER: S-EPMC8474946 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe pandemic caused by COVID-19 has meant for spanish citizens a constant adaptation to health measures in order to try to stop transmission of the virus. During this adaptation process, different psychosocial aspects have caused consequences for people?s mental health to a greater or lesser extent. Makes sense of an emotional torrent who has gone through fear, anxiety, loneliness and anger. The interaction between perception and reality has given rise to situations where loneliness and social isolation have been imposed and lived with a load of emotional discomfort. In others, social isolation and measures to stop the pandemic have been accepted as a protection system and has been experienced since serenity and the feeling of self-protection fostering individual resilience. Studying the predictors of resilience is going to be key since it is the ideal antidote to stop the appearance of mental disorders associated with the pandemic (such as depression, anxiety, post-traumatic stress, social phobia, cleaning obsessions, and generalized anxiety disorder). The objective of this research is to analyze the relationship between resilience and experiential COVID-19 factors.MethodsSample was comprised of Spanish adults (n = 1000; age 18-79 [mean =40.43],793 female, 201 male, and 2 non binary sex). These people participating in an online study focused on the impact of COVID-19 experiences. The research has been cross-sectional, descriptive and correlational design. The instrument created for this research was a specific online questionnaire, including the "Scale of resilience" (RS, Wagnild & Young, 1993, Spanish version, Sánchez-Teruel, et al., 2015). That questionnaire has been administered during the months of April 2022 to July 2022.ResultsThe results obtained show how people who have been able to face the pandemic in a responsive and adaptive way have high resilience. Specifically, those participants that accepting the use of masks, vaccinations and confinement obtained high resilience.ConclusionsUsing public funding and allocating research to the development of programs to promote resilience, adaptative beliefs and prosocial behaviors becomes basic to live in a world in constant change.

Project description:BackgroundEarly and accurate prognosis prediction of the patients was urgently warranted due to the widespread popularity of COVID-19. We performed a meta-analysis aimed at comprehensively summarizing the clinical characteristics and laboratory abnormalities correlated with increased risk of mortality in COVID-19 patients.MethodsPubMed, Scopus, Web of Science, and Embase were systematically searched for studies considering the relationship between COVID-19 and mortality up to 4 June 2020. Data were extracted including clinical characteristics and laboratory examination.ResultsThirty-one studies involving 9407 COVID-19 patients were included. Dyspnea (OR = 4.52, 95%CI [3.15, 6.48], P < 0.001), chest tightness (OR = 2.50, 95%CI [1.78, 3.52], P<0.001), hemoptysis (OR = 2.00, 95%CI [1.02, 3.93], P = 0.045), expectoration (OR = 1.52, 95%CI [1.17, 1.97], P = 0.002) and fatigue (OR = 1.27, 95%CI [1.09, 1.48], P = 0.003) were significantly related to increased risk of mortality in COVID-19 patients. Furthermore, increased pretreatment absolute leukocyte count (OR = 11.11, 95%CI [6.85,18.03], P<0.001) and decreased pretreatment absolute lymphocyte count (OR = 9.83, 95%CI [6.72, 14.38], P<0.001) were also associated with increased mortality of COVID-19. We also compared the mean value of them between survivors and non-survivors, and found that non-survivors showed significantly raise in pretreatment absolute leukocyte count (WMD: 3.27×109/L, 95%CI [2.34, 4.21], P<0.001) and reduction in pretreatment absolute lymphocyte count (WMD = -0.39×109/L, 95%CI [-0.46, -0.33], P<0.001) compared with survivors. The results of pretreatment lactate dehydrogenase (LDH), procalcitonin (PCT), D-Dimer and ferritin showed the similar trend with pretreatment absolute leukocyte count.ConclusionsAmong the common symptoms of COVID-19 infections, fatigue, expectoration, hemoptysis, dyspnea and chest tightness were independent predictors of death. As for laboratory examinations, significantly increased pretreatment absolute leukocytosis count, LDH, PCT, D-Dimer and ferritin, and decreased pretreatment absolute lymphocyte count were found in non-survivors, which also have an unbeneficial impact on mortality among COVID-19 patients. Motoring these indicators during the hospitalization plays a very important role in predicting the prognosis of patients.

Dataset Information

Factors predicting readmission in patients with COVID-19.

Objective

Results

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