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10.11604/pamj.2017.28.41.9810 http://scihub22266oqcxt.onion/10.11604/pamj.2017.28.41.9810 C5687869!5687869 !29158864     free     free     free Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 235.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 269.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\29158864 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Pan+Afr+Med+J 2017 ; 28 (ä): 41 Nephropedia Template TP {{tp|p=29158864 |t=2017. Maladie rénale chronique: facteurs associés, étiologies, caractéristiques clinique et biologique à Lubumbashi en République Démocratique du Congo |pdf=|usr=}}{{29158864 }} gab.com Text Maladie rénale chronique: facteurs associés, étiologies, caractéristiques clinique et biologique à Lubumbashi en République Démocratique du Congo JO: Pan Afr Med J http://www.kidney.de/pget.php?&tw=1&pmid=29158864 #FOAvip INTRODUCTION: Chronic kidney disease is fast becoming a worldwide public health problem due to the increase of hypertension and diabetes mellitus, its main risk factors. In countries like DRC where majority of population are in the low income bracket, very few studies about this disease, usually diagnosed at a very advanced stage have been conducted. As a result of such, cases are not always properly taken care of and managed. METHODS: We opted for a descriptive cross-sectional study and it was conducted during the period from July 2014 to July 2015 at CMDC dialysis service. Were included all patients with glomerular filtration rate lower than 60ml / min / 1,73 m2 or high level of creatinine longer than three months during the study period Goal. This study aims at describing the sociodemographic characteristics, risk factors and biological parameters of patients admitted for kidney failure. RESULTS: We selected 60 patients. The average age was 51, 38 + / _ 13, 47 with the most affected included age group between 50-59 years. 51, 67% had completed secondary education and 40% higher. Risk factors of renal damage were the HTA 66, 64%, 25% diabetes mellitus, use of nephrotoxic products 35%, HIV infection 11, 67%, 10% obesity, sickle cell disease 3, 3%. The birth weight birth of our patients as well as existing renal disease in family were unknown factors. 85% of our patients had hemoglobin levels below 12 g%. CONCLUSION: From this observation, it appears that the age of our patients did not differ from that observed in other low-income communities. The level of education of our patients is higher compared to other studies. It would be better to develop strategies for early detection of kidney disease to avoid ending hemodialysis remains a very expensive treatment. Twit Text FOAVip Maladie rénale chronique: facteurs associés, étiologies, caractéristiques clinique et biologique à Lubumbashi en République Démocratique du Congo ????Pan Afr Med J http://www.kidney.de/pget.php?&tw=1&pmid=29158864 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29158864 #FOAvip English Wikipedia <ref>{{Cite pmid|29158864 }}</ref> Maladie rénale chronique: facteurs associés, étiologies, caractéristiques clinique et biologique à Lubumbashi en République Démocratique du Congo #MMPMID29158864 Ngoie SM ; Mulenga P ; Mukuku O ; Kakisingi CN ; Sangwa CM ; Nawej PT ; Mwamba CM ; Ngoy DN ; Manda Muteta FWP Pan Afr Med J 2017[]; 28 (ä): 41 PMID29158864 show ga INTRODUCTION: Chronic kidney disease is fast becoming a worldwide public health problem due to the increase of hypertension and diabetes mellitus, its main risk factors. In countries like DRC where majority of population are in the low income bracket, very few studies about this disease, usually diagnosed at a very advanced stage have been conducted. As a result of such, cases are not always properly taken care of and managed. METHODS: We opted for a descriptive cross-sectional study and it was conducted during the period from July 2014 to July 2015 at CMDC dialysis service. Were included all patients with glomerular filtration rate lower than 60ml / min / 1,73 m2 or high level of creatinine longer than three months during the study period Goal. This study aims at describing the sociodemographic characteristics, risk factors and biological parameters of patients admitted for kidney failure. RESULTS: We selected 60 patients. The average age was 51, 38 + / _ 13, 47 with the most affected included age group between 50-59 years. 51, 67% had completed secondary education and 40% higher. Risk factors of renal damage were the HTA 66, 64%, 25% diabetes mellitus, use of nephrotoxic products 35%, HIV infection 11, 67%, 10% obesity, sickle cell disease 3, 3%. The birth weight birth of our patients as well as existing renal disease in family were unknown factors. 85% of our patients had hemoglobin levels below 12 g%. CONCLUSION: From this observation, it appears that the age of our patients did not differ from that observed in other low-income communities. The level of education of our patients is higher compared to other studies. It would be better to develop strategies for early detection of kidney disease to avoid ending hemodialysis remains a very expensive treatment. |Adult [MESH] |Age Distribution [MESH] |Aged [MESH] |Creatinine/metabolism [MESH] |Cross-Sectional Studies [MESH] |Democratic Republic of the Congo/epidemiology [MESH] |Diabetes Mellitus/*epidemiology [MESH] |Glomerular Filtration Rate [MESH] |Humans [MESH] |Hypertension/*epidemiology [MESH] |Male [MESH] |Middle Aged [MESH] |Poverty [MESH] |Renal Insufficiency, Chronic/*epidemiology/etiology [MESH]Maladie rénale chronique: facteurs associés, étiologies, caractéristiq(epmc).pdf DeepDyve Pubget Overpricing