نتایج جستجو برای: kidney stone

تعداد نتایج: 243887  

Journal: :Archivos espanoles de urologia 2013
Federico Leopoldo Zeller Jesús María García Garzón Jordi Peralta Jacob Benguigui Benadiva

OBJECTIVE To report a complication of a staghorn stone in a non-functioning right kidney. METHODS We present a 47 year old female with right lumbar pain and history of recurrent urinary tract infection (UTI). After an acute pyelonephritis episode, a right staghorn stone was diagnosed in a non-functioning right kidney. RESULTS During right nephrectomy, we found a renocolic fistula not observ...

2012
Nanyawan Rungroj Nirinya Sudtachat Choochai Nettuwakul Nunghathai Sawasdee Oranud Praditsap Prapaporn Jungtrakoon Suchai Sritippayawan Duangporn Chuawattana Sombat Borvornpadungkitti Chagkrapan Predanon Wattanachai Susaengrat Pa-thai Yenchitsomanus

We previously reported the association between prothrombin (F2), encoding a stone inhibitor protein - urinary prothrombin fragment 1 (UPTF1), and the risk of kidney stone disease in Northeastern Thai patients. To identify specific F2 variation responsible for the kidney stone risk, we conducted sequencing analysis of this gene in a group of the patients with kidney stone disease. Five intronic ...

2017
Toshikazu Tanaka Shingo Hatakeyama Hayato Yamamoto Takuma Narita Itsuto Hamano Teppei Matsumoto Osamu Soma Yuki Tobisawa Tohru Yoneyama Takahiro Yoneyama Yasuhiro Hashimoto Takuya Koie Ippei Takahashi Shigeyuki Nakaji Yuriko Terayama Tomihisa Funyu Chikara Ohyama

BACKGROUND The aim of the present study is to investigate the clinical relevance of aortic calcification in urolithiasis patients. METHODS Between January 2010 and September 2014, 1221 patients with urolithiasis were treated in Oyokyo Kidney Research Institute and Hirosaki University Hospital. Among these, 287 patients (Stone group) on whom adequate data were available were included in this r...

2017
Ilker Seckiner Serap Seckiner Haluk Sen Omer Bayrak Kazım Dogan Sakip Erturhan

OBJECTIVE The prototype artificial neural network (ANN) model was developed using data from patients with renal stone, in order to predict stone-free status and to help in planning treatment with Extracorporeal Shock Wave Lithotripsy (ESWL) for kidney stones. MATERIALS AND METHODS Data were collected from the 203 patients including gender, single or multiple nature of the stone, location of t...

2018
Jan Halbritter Anna Seidel Luise Müller Ria Schönauer Bernd Hoppe

Kidney stone disease is an increasingly prevalent condition with remarkable clinical heterogeneity, with regards to stone composition, age of manifestation, rate of recurrence, and impairment of kidney function. Calcium-based kidney stones account for the vast majority of cases, but their etiology is poorly understood, notably their genetic drivers. As recent studies indicate, hereditary condit...

Journal: :Environmental research 2018
Michelle E Ross Ana M Vicedo-Cabrera Robert E Kopp Lihai Song David S Goldfarb Jose Pulido Steven Warner Susan L Furth Gregory E Tasian

Temperature and relative humidity have opposing effects on evaporative water loss, the likely mediator of the temperature-dependence of nephrolithiasis. However, prior studies considered only dry-bulb temperatures when estimating the temperature-dependence of nephrolithiasis. We used distributed lag non-linear models and repeated 10-fold cross-validation to determine the daily temperature metri...

Journal: :The FEBS journal 2006
Dawn Webber Catherine M Radcliffe Louise Royle Gemma Tobiasen Anthony H Merry Allen L Rodgers Edward D Sturrock Mark R Wormald David J Harvey Raymond A Dwek Pauline M Rudd

Urinary glycoproteins are important inhibitors of calcium oxalate crystallization and adhesion of crystals to renal cells, both of which are key mechanisms in kidney stone formation. This has been attributed to glycosylation of the proteins. In South Africa, the black population rarely form stones (incidence < 1%) compared with the white population (incidence 12-15%). A previous study involving...

2016
Sneha A Mane S R Chougule

Kidney stone detector proves to be a major challenge for detecting the kidney stone disease. In this paper, two neural network algorithms viz Radial basis function and Learning vector quantization are used for diagnosis purpose Also a comparison is made between the two algorithms using MATLAB software. The main purpose is to find the best tool for medical diagnosis to reduce diagnosis time and ...

2017
Sinan Levent Kirecci

Urinary lithiasis is a common disease, prevalence rates vary from 1% to 20%, according to gender, dietary, ethnic, the geographical, and genetic factors [1]. Urinary Stone recurrence rates around the 50% at ten years. Each year in the United States, people make more than a million visits to health care providers and more than 300,000 people go to emergency rooms for kidney stone problems [2]. T...

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