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10.1016/j.diabres.2020.108463 http://scihub22266oqcxt.onion/10.1016/j.diabres.2020.108463 32971150!7505740!32971150     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Diabetes+Res+Clin+Pract 2020 ; 169 (ä): 108463 Nephropedia Template TP {{tp|p=32971150|t=2020. Incidence of COVID-19 infection and prevalence of diabetes, obesity and hypertension according to altitude in Peruvian population |pdf=|usr=}}{{32971150}} gab.com Text Incidence of COVID-19 infection and prevalence of diabetes, obesity and hypertension according to altitude in Peruvian population JO: Diabetes Res Clin Pract http://www.kidney.de/pget.php?&tw=1&pmid=32971150 #FOAvip To investigate the cumulative incidence and mortality of COVID-19 and the prevalence of comorbidities such as diabetes, obesity and hypertension in regions with different altitude levels ranging from sea level to high altitude. METHODOLOGY: Analytical study in which we correlated secondary data obtained from reports of the Ministry of Health and National Institute for Statistics and Informatic. The cumulative incidence and mortality of COVID-19 in 25 peruvian regions is reported, together with its relationnship with altitude levels during March-July 2020 using Pearsons correlation. We also aiming to assess the prevalence of diabetes, obesity and hypertension with altitude according to the ENDES 2018 data using Gamma statistics. RESULTS: COVID-19 maintained an inverse correlation with higher rates in the coastal regions and lower rates with increasing altitude in the cumulative incidence (Pearson = -0.8, p < 0.000) and mortality (Pearson = -0.77, p < 0.000), adjusted gender and age. The prevalence of diabetes and obesity showed the same inverse correlation trend with altitude (Gamma p < 0.000) but not hypertension (Gamma p = 0.13) CONCLUSIONS: The data in Peru it is suggested that physiological adaptation in a hypoxic environment at high altitude may protect persons from the severe impact of acute infection caused by SARS-CoV-2. The reduction in cumulative incidence and mortality rates with increasing altitude is the main finding. Possible mechanisms such as a decreased expression of angiotensin-converting enzyme 2 (ACE2) and a lower virulence because of a high altitude environment, may explain this epidemiological features. In addition, the lower prevalence of diabetes, obesity and hypertension may establish a protective epidemiology against these disease. Twit Text FOAVip Incidence of COVID-19 infection and prevalence of diabetes, obesity and hypertension according to altitude in Peruvian population ????Diabetes Res Clin Pract http://www.kidney.de/pget.php?&tw=1&pmid=32971150 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32971150 #FOAvip English Wikipedia <ref>{{Cite pmid|32971150}}</ref> Incidence of COVID-19 infection and prevalence of diabetes, obesity and hypertension according to altitude in Peruvian population #MMPMID32971150 Seclen SN; Nunez-Robles E; Yovera-Aldana M; Arias-Chumpitaz A Diabetes Res Clin Pract 2020[Nov]; 169 (ä): 108463 PMID32971150show ga To investigate the cumulative incidence and mortality of COVID-19 and the prevalence of comorbidities such as diabetes, obesity and hypertension in regions with different altitude levels ranging from sea level to high altitude. METHODOLOGY: Analytical study in which we correlated secondary data obtained from reports of the Ministry of Health and National Institute for Statistics and Informatic. The cumulative incidence and mortality of COVID-19 in 25 peruvian regions is reported, together with its relationnship with altitude levels during March-July 2020 using Pearsons correlation. We also aiming to assess the prevalence of diabetes, obesity and hypertension with altitude according to the ENDES 2018 data using Gamma statistics. RESULTS: COVID-19 maintained an inverse correlation with higher rates in the coastal regions and lower rates with increasing altitude in the cumulative incidence (Pearson = -0.8, p < 0.000) and mortality (Pearson = -0.77, p < 0.000), adjusted gender and age. The prevalence of diabetes and obesity showed the same inverse correlation trend with altitude (Gamma p < 0.000) but not hypertension (Gamma p = 0.13) CONCLUSIONS: The data in Peru it is suggested that physiological adaptation in a hypoxic environment at high altitude may protect persons from the severe impact of acute infection caused by SARS-CoV-2. The reduction in cumulative incidence and mortality rates with increasing altitude is the main finding. Possible mechanisms such as a decreased expression of angiotensin-converting enzyme 2 (ACE2) and a lower virulence because of a high altitude environment, may explain this epidemiological features. In addition, the lower prevalence of diabetes, obesity and hypertension may establish a protective epidemiology against these disease. |*Altitude[MESH] |Adolescent[MESH] |Adult[MESH] |COVID-19/*complications/epidemiology/virology[MESH] |Diabetes Mellitus/*epidemiology/virology[MESH] |Female[MESH] |Humans[MESH] |Hypertension/*epidemiology/virology[MESH] |Hypoxia/physiopathology[MESH] |Incidence[MESH] |Male[MESH] |Middle Aged[MESH] |Obesity/*epidemiology/virology[MESH] |Peru/epidemiology[MESH] |Prevalence[MESH] |SARS-CoV-2/*isolation & purification[MESH]Incidence of COVID-19 infection and prevalence of diabetes, obesity an(epmc).pdf DeepDyve Pubget Overpricing