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1.
Rev Assoc Med Bras (1992) ; 68(2): 239-244, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1725080

ABSTRACT

OBJECTIVE: The objectives of this study were to identify predictors of mortality in young adult patients with coronavirus disease 2019 and to assess the link between blood type and mortality in those patients. METHODS: This multicenter retrospective study, which was conducted in seven training and research hospitals in Istanbul, involved young adults who aged ≥18 and <50 years and hospitalized with coronavirus disease 2019. RESULTS: Among 1,120 patients, confusion at admission (p<0.001) and oxygen saturation (p<0.001) were significantly predictive factors of mortality. Blood type O was significantly associated with mortality compared to those discharged from the hospital (p<0.001). Among co-morbidities, the most reliable predictive factors were cerebral vascular disease (p<0.001) and chronic renal failure (p=0.010). Among laboratory parameters, high C-reactive protein (p<0.001) and low albumin (p<0.001) levels were predictors of mortality in young adult patients with coronavirus disease 2019. CONCLUSIONS: SpO2 at admission was the best predictor of mortality in young adult patients with coronavirus disease 2019. The mortality rate was increased by cerebral vascular disease and chronic renal failure. Also, high C-reactive protein and low albumin levels were predictive factors of mortality. Moreover, blood type O was associated with a higher mortality rate than the other types.


Subject(s)
COVID-19 , Comorbidity , Hospital Mortality , Hospitalization , Humans , Middle Aged , Retrospective Studies , SARS-CoV-2 , Young Adult
2.
Int J Clin Pract ; 75(8): e14321, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1221604

ABSTRACT

AIM: In this study, we aimed to investigate the effectiveness of ozone therapy, which is one of the integrative medicine applications that has been used safely for many years, on the prevalence of mortality in patients receiving COVID-19 treatment. METHODS: This was a prospective, controlled study conducted on patients with COVID-19 who were hospitalised. In this study, 55 patients were included. The patients were divided into two groups as the ozone and control group. Ozone therapy (major autohemotherapy) was applied to 37 patients who were being treated with the appropriate COVID-19 treatment protocol determined by the infectious diseases committee of our hospital. The ozone treatment protocol consisted of seven sessions (one session per day) of intravenous ozone administration, applied in a volume of 100 mL and a concentration of 30 µg/mL. Only the conventional COVID-19 treatment protocol was applied to 18 patients in the control group. Clinical follow-up was performed until the discharge of the patients from the hospital with successful treatment or until the mortality occurred. Factors affecting mortality were analysed using univariate regression analysis. RESULTS: Intensive care unit (ICU) hospitalisation was required in 6 of the 37 patients who were treated with ozone (16.2%), while 4 of 18 patients in the control group required ICU treatment (22.2%) (P = .713). When the mortality rates between the two groups were compared, mortality was lower in the ozone group (P = .032). As a result of univariate logistic regression analysis performed to investigate the factors affecting mortality, treatment with ozone therapy was determined as a risk factor for mortality. Patients receiving ozone therapy appear to have a lower mortality risk (odds ratio [OR]: 0.149, 95% confidence interval [CI] 0.026-0.863, P = .034). CONCLUSION: In this study, the findings suggested that the administration of ozone therapy along with the conventional medical treatment in patients hospitalised for COVID-19 could reduce mortality.


Subject(s)
COVID-19 Drug Treatment , Ozone , Humans , Prospective Studies , SARS-CoV-2
3.
Gerontology ; 67(4): 433-440, 2021.
Article in English | MEDLINE | ID: covidwho-1158150

ABSTRACT

INTRODUCTION: The novel coronavirus (COVID-19), which has affected over 100 countries in a short while, progresses more mortally in elderly patients with comorbidities. In this study, we examined the epidemiological, clinical, and laboratory characteristics of the patients aged 60 and over who had been infected with COVID-19. METHODS: The data of the patients admitted to the hospital within 1 month from May 8, 2020 onwards and hospitalized for COVID-19 pneumonia were obtained from the hospital medical records, and the epidemiological, clinical, and laboratory parameters of the patients during the admission to the emergency department were examined. Patients were divided into 2 groups regarding the criteria of having in-hospital mortality (mortality group) and being discharged with full recovery (survivor group). The factors, which could have an impact on the mortality, were investigated using a univariate and multivariate logistic regression analysis. RESULTS: This retrospective study included 113 patients aged 60 years and older, with a confirmed diagnosis of COVID-19 pneumonia. The mean age of the patients was 70.7 ± 7.9, and 64.6% (n = 73) of them were male. The mortality rate was 19.4% (n = 22). Among the comorbid illnesses, only renal failure was significant in the mortality group (p = 0.04). A CURB-65score ≥3 or pneumonia severity index (PSI) class ≥4 manifested a remarkable discrimination ability to predict 30-day mortality (p < 0.001). When the laboratory parameters were considered, the value of neutrophil to lymphocyte ratio (NLR) was significant in predicting mortality in univariate and multivariate analysis (odds ratio [OR] = 1.11; 95% confidence interval [95% CI], 1.03-1.21; p = 0.006, and OR = 1.51; 95% CI, 1.11-2.39; p = 0.044, respectively). CONCLUSION: In our study, NLR was determined to be an independent marker to predict in-hospital mortality among patients with COVID-19. PSI and CURB-65 revealed a considerably precise prognostic accuracy for the patients with COVID-19 in our study as well. Moreover, thanks to that NLR results in a very short time, it can enable the clinician to predict mortality before the scoring systems are calculated and hasten the management of the patients in the chaotic environment of the emergency room.


Subject(s)
COVID-19 , Hospital Mortality/trends , Hospitalization , Prognosis , Aged , Aged, 80 and over , COVID-19/diagnosis , COVID-19/epidemiology , Female , Humans , Lymphocytes , Male , Middle Aged , Neutrophils , Retrospective Studies
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