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Clinical Features of the 60 Years and Older Patients Infected with 2019 Novel Coronavirus: Can We Predict Mortality Earlier?|pdf=|usr=}}{{33784699}} gab.com Text Clinical Features of the 60 Years and Older Patients Infected with 2019 Novel Coronavirus: Can We Predict Mortality Earlier JO: Gerontology http://www.kidney.de/pget.php?&tw=1&pmid=33784699 #FOAvip 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. Twit Text FOAVip Clinical Features of the 60 Years and Older Patients Infected with 2019 Novel Coronavirus: Can We Predict Mortality Earlier ????Gerontology http://www.kidney.de/pget.php?&tw=1&pmid=33784699 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33784699 #FOAvip English Wikipedia <ref>{{Cite pmid|33784699}}</ref> Clinical Features of the 60 Years and Older Patients Infected with 2019 Novel Coronavirus: Can We Predict Mortality Earlier? #MMPMID33784699 Genc Yavuz B; Colak S; Guven R; Altundag I; Seyhan AU; Gunay Inanc R Gerontology 2021[]; 67 (4): 433-440 PMID33784699show ga 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. |*COVID-19/diagnosis/epidemiology[MESH] |*Hospitalization[MESH] |*Prognosis[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Female[MESH] |Hospital Mortality/*trends[MESH] |Humans[MESH] |Lymphocytes[MESH] |Male[MESH] |Middle Aged[MESH] |Neutrophils[MESH]Clinical Features of the 60 Years and Older Patients Infected with 201(epmc).pdf DeepDyve Pubget Overpricing