RESUMEN
BACKGROUND: About 5-10% of coronavirus disease 2019 (COVID-19) infected patients require critical care hospitalization and a variety of respiratory support, including invasive mechanical ventilation. Several nationwide studies from Saudi Arabia have identified common comorbidities but none were focused on mechanically ventilated patients in the Al-Ahsa region of Saudi Arabia. OBJECTIVES: Identify characteristics and risk factors for mortality in mechanically ventilated COVID-19 patients. DESIGN: Retrospective chart review SETTING: Two general hospitals in the Al-Ahsa region of Saudi Arabia PATIENTS AND METHODS: We included mechanically ventilated COVID-19 patients (>18 years old) admitted between 1 May and 30 November 2020, in two major general hospitals in the Al-Ahsa region, Saudi Arabia. Descriptive statistics were used to characterize patients. A multivariable Cox proportional hazards (CPH) model was used exploratively to identify hazard ratios (HR) of predictors of mortality. MAIN OUTCOME MEASURES: Patient characteristics, mortality rate, extubation rate, the need for re-intubation and clinical complications during hospitalization. SAMPLE SIZE AND CHARACTERISTICS: 154 mechanically ventilated COVID-19 patients with median (interquartile range) age of 60 (22) years; 65.6% male. RESULTS: Common comorbidities were diabetes (72.2%), hypertension (67%), cardiovascular disease (14.9%) and chronic kidney disease (CKD) (14.3%). In the multivariable CPH model, age >60 years old (HR=1.83, 95% CI 1.2-2.7, P=.002), CKD (1.61, 95% CI 0.9-2.6, P=.062), insulin use (HR=0.65, 95% CI 0.35-.08, P<.001), and use of loop diuretics (HR=0.51, 95% CI 0.4, P=.037) were major predictors of mortality. CONCLUSION: Common diseases in mechanically ventilated COVID-19 patients from the Al-Ahsa region were diabetes, hypertension, other cardiovascular diseases, and CKD in this exploratory analysis. LIMITATIONS: Retrospective, weak CPH model performance. CONFLICTS OF INTEREST: None.
Asunto(s)
COVID-19 , Diabetes Mellitus , Hipertensión , Insuficiencia Renal Crónica , Adolescente , COVID-19/epidemiología , COVID-19/terapia , Femenino , Humanos , Hipertensión/epidemiología , Masculino , Persona de Mediana Edad , Respiración Artificial , Estudios Retrospectivos , Arabia Saudita/epidemiología , Análisis de SupervivenciaRESUMEN
The purpose of this study was to investigate the relation between selected demographic and clinical characteristics and quality of life (QOL) scores in patients with end-stage renal disease who receive dialysis. We conducted the study at one hemodialysis (HD) unit in Bahrain from May 2018 to July 2018. We used standard QOL Index (QOLI) score instrument in Arabic form. This study included 100 patients (66 men and 34 women), aged 22 to 80 years on treatment with maintenance HD for four to 190 months. Inclusion criteria were as follows: those aged >18 years with no severe morbidities or psychological diseases and were on dialysis for at least three months. The following QOL scores were recorded: the health and functioning domain (64.8 ± 15.3), the social and economic domain (65.6 ± 14.1), the psychological/spiritual domain (74.9 ± 14.3), and the family subscale domain (75.9 ± 14.5). Male patients had reduced QOL though not statistically significant and younger patients had better QOL scores. The QOL scores revealed a decreasing trend with decreasing level of education, and they were higher among those who were not working and stayed at home. In addition, the family subclass scores were significantly higher among the married patients. Correlations between the demographic characteristics and QOL scores showed that there was a significant negative correlation between family domain and educational level and marital status, while there was a significant positive correlation between residence and psychological domain. Age, gender, marital status, residence, ethnicity, education level, employment status, income, and duration on HD nonsignificantly affected one or more domains of QOLI scores in such patients. Adequate management of these factors could influence patient outcomes.