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10.1111/ijcp.14108 http://scihub22266oqcxt.onion/10.1111/ijcp.14108 33626210!7995141!33626210     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Clin+Pract 2021 ; 75 (6): e14108 Nephropedia Template TP {{tp|p=33626210|t=2021. Evaluation of epidemiology, clinical features, prognosis, diagnosis and treatment outcomes of patients with COVID-19 in West Azerbaijan Province |pdf=|usr=}}{{33626210}} gab.com Text Evaluation of epidemiology, clinical features, prognosis, diagnosis and treatment outcomes of patients with COVID-19 in West Azerbaijan Province JO: Int J Clin Pract http://www.kidney.de/pget.php?&tw=1&pmid=33626210 #FOAvip BACKGROUND: COVID-19 is considered a widespread concern in global public health. Diagnoses of COVID-19 in some cases are necessary because of severe prognosis. In this study, epidemiologies, clinical and demographic characteristics of patients with COVID-19 were studied in Taleghani Hospital, Urmia, Iran. METHODS: This descriptive-analytical cross-sectional study was carried out on 215 patients with COVID-19 during March and April 2020. Approved COVID-19 case was considered as a person with a positive respiratory sample performed by at least one of two RT-PCR methods or genetic sequencing. ANOVA repeated measure, independent t-test and logistic regression were done. A P < .05 was considered significant. RESULTS: The mean age of patients was 50.93 +/- 17.92 years. Regarding gender, there were 91 females (42.3%) and 124 males (57.7%). The mean hospital stay, the temperature at admission, and onset of symptoms were 4.91 +/- 3.68 days, 37.40 +/- 0.96 degrees C and 5.88 +/- 4.80 days, respectively. Close contact with suspected people was found in 10.2% of patients. Additionally, 44 patients (20.5%) were smokers. Shortness of breath and cough were found in 62.8% and 49.3% of patients. Diabetes mellitus and hypertension were the most common comorbidities of patients. Regarding lung involvement, 33 patients (33%) were normal, most of the patients (n = 71) had 5%-25% involvement in their lung and a minority of patients (n = 13) had a severe condition of 50%-75% lung involvement. The association between smoking and mortality was tested using chi-square showing no significant difference (X(2) :2.959, P = .085). There was no significant difference between AST, ALT, ALP, total, direct Bilirubin, lung involvement and suffering from fever (P > .05). High Spo2 can increase the chance of recovery by 24% with each unit reduction. Kidney involvement increases the chance of death by about 80% (95% CI: 0.104-0.013). The odds ratio of spo2 for recovery of COVID-19 was 1.24 (95% CI: 1.014-1.528; P = .037). Kaletra with odds ratio of 31.960 had the most highest effect on recovery following COVID-19 (P = .043). CONCLUSION: COVID-19 involves different organs of the body with different severity. In the meantime, smoking was not a risk factor for the virus or associated with severe manifestations of the disease. Patients with high creatinine and CPK, pulmonary involvement above 25%, and hypoxemia had a higher mortality rate. Increase of Spo2 by 1% can improve the patients by 24%. The results indicated that Kaletra had the most highest effect on improvement following COVID-19. Twit Text FOAVip Evaluation of epidemiology, clinical features, prognosis, diagnosis and treatment outcomes of patients with COVID-19 in West Azerbaijan Province ????Int J Clin Pract http://www.kidney.de/pget.php?&tw=1&pmid=33626210 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33626210 #FOAvip English Wikipedia <ref>{{Cite pmid|33626210}}</ref> Evaluation of epidemiology, clinical features, prognosis, diagnosis and treatment outcomes of patients with COVID-19 in West Azerbaijan Province #MMPMID33626210 Gharebaghi N; Farshid S; Boroofeh B; Nejadrahim R; Mousavi J; Dindarian S; Mohammadi S Int J Clin Pract 2021[Jun]; 75 (6): e14108 PMID33626210show ga BACKGROUND: COVID-19 is considered a widespread concern in global public health. Diagnoses of COVID-19 in some cases are necessary because of severe prognosis. In this study, epidemiologies, clinical and demographic characteristics of patients with COVID-19 were studied in Taleghani Hospital, Urmia, Iran. METHODS: This descriptive-analytical cross-sectional study was carried out on 215 patients with COVID-19 during March and April 2020. Approved COVID-19 case was considered as a person with a positive respiratory sample performed by at least one of two RT-PCR methods or genetic sequencing. ANOVA repeated measure, independent t-test and logistic regression were done. A P < .05 was considered significant. RESULTS: The mean age of patients was 50.93 +/- 17.92 years. Regarding gender, there were 91 females (42.3%) and 124 males (57.7%). The mean hospital stay, the temperature at admission, and onset of symptoms were 4.91 +/- 3.68 days, 37.40 +/- 0.96 degrees C and 5.88 +/- 4.80 days, respectively. Close contact with suspected people was found in 10.2% of patients. Additionally, 44 patients (20.5%) were smokers. Shortness of breath and cough were found in 62.8% and 49.3% of patients. Diabetes mellitus and hypertension were the most common comorbidities of patients. Regarding lung involvement, 33 patients (33%) were normal, most of the patients (n = 71) had 5%-25% involvement in their lung and a minority of patients (n = 13) had a severe condition of 50%-75% lung involvement. The association between smoking and mortality was tested using chi-square showing no significant difference (X(2) :2.959, P = .085). There was no significant difference between AST, ALT, ALP, total, direct Bilirubin, lung involvement and suffering from fever (P > .05). High Spo2 can increase the chance of recovery by 24% with each unit reduction. Kidney involvement increases the chance of death by about 80% (95% CI: 0.104-0.013). The odds ratio of spo2 for recovery of COVID-19 was 1.24 (95% CI: 1.014-1.528; P = .037). Kaletra with odds ratio of 31.960 had the most highest effect on recovery following COVID-19 (P = .043). CONCLUSION: COVID-19 involves different organs of the body with different severity. In the meantime, smoking was not a risk factor for the virus or associated with severe manifestations of the disease. Patients with high creatinine and CPK, pulmonary involvement above 25%, and hypoxemia had a higher mortality rate. Increase of Spo2 by 1% can improve the patients by 24%. The results indicated that Kaletra had the most highest effect on improvement following COVID-19. |*COVID-19[MESH] |Adult[MESH] |Aged[MESH] |Azerbaijan[MESH] |Cross-Sectional Studies[MESH] |Female[MESH] |Humans[MESH] |Iran[MESH] |Male[MESH] |Middle Aged[MESH] |Prognosis[MESH] |SARS-CoV-2[MESH]Evaluation of epidemiology, clinical features, prognosis, diagnosis an(epmc).pdf DeepDyve Pubget Overpricing