Acidic Urine pH and Clinical Outcome of Lower Urinary Tract Infection in Kidney Transplant Recipients Treated with Ciprofloxacin and Fosfomycin.

Different factors, including antimicrobial resistance, may diminish the effectiveness of antibiotic therapy, challenging the management of post-transplant urinary tract infection (UTI). The association of acidic urine pH with microbiological and clinical outcomes was evaluated after fosfomycin or ciprofloxacin therapy in 184 kidney transplant recipients (KTRs) with UTI episodes by Escherichia coli (N = 115) and Klebsiella pneumoniae (N = 69). Initial urine pH, antimicrobial therapy, and clinical and microbiological outcomes, and one- and six-month follow-up were assessed. Fosfomycin was prescribed in 88 (76.5%) E. coli and 46 (66.7%) K. pneumoniae UTI episodes in the total cohort. When the urine pH ≤ 6, fosfomycin was prescribed in 60 (52.2%) E. coli and 29 (42.0%) K. pneumoniae. Initial urine pH ≤ 6 in E. coli UTI was associated with symptomatic episodes (8/60 vs. 0/55, p = 0.04) at one-month follow-up, with a similar trend in those patients receiving fosfomycin (7/47 vs. 0/41, p = 0.09). Acidic urine pH was not associated with microbiological or clinical cure in K. pneumoniae UTI. At pH 5, the ciprofloxacin MIC90 increased from 8 to >8 mg/L in E. coli and from 4 to >8 mg/L in K. pneumoniae. At pH 5, the fosfomycin MIC90 decreased from 8 to 4 mg/L in E. coli and from 512 to 128 mg/L in K. pneumoniae. Acidic urine is not associated with the microbiological efficacy of fosfomycin and ciprofloxacin in KTRs with UTI, but it is associated with symptomatic UTI episodes at one-month follow-up in E. coli episodes.

Impact of Treating Asymptomatic Bacteriuria in Kidney Transplant Recipients: A Prospective Cohort Study.

This study aims to define the epidemiologic, clinical, and microbiological features of asymptomatic bacteriuria (AB) and cystitis in kidney transplantation recipients (KTRs), and to determine the impact of antimicrobial therapy of AB and the risk factors of cystitis. We conducted a prospective observational study of AB and cystitis in KTRs from January to June 2017. One-hundred ninety seven KTRs were included: 175 (88.8%) with AB and 22 (11.2%) with cystitis. The most frequent etiologies were Escherichia coli, Klebsiellapneumoniae, Enterococcusfaecalis, and Pseudomonas aeruginosa. No differences were observed regarding the etiologies, antimicrobial susceptibility patterns, and microbiologic outcomes in AB vs. cystitis. The treatment of AB diminished the microbiological cure and increased the rates of microbiologic relapses and reinfections; in addition, treated AB patients showed a trend of developing symptomatic urinary tract infection in the following six months. The analysis of the data identified the following independent risk factors for cystitis during the six months of follow-up: AB treatment, thymoglobulin induction, previous acute pyelonephritis, and time since transplantation < 1 year. In summary, considering the lack of clinical benefits of treating AB and its impact on cystitis development in the follow-up, we support the recommendation of not screening for or treating AB.

Hypertriglyceridemic waist in type 1 diabetes patients: prevalence and related factors.

BACKGROUND: The hypertriglyceridemic waist has been linked to a higher number of cardiovascular risk factors and a greater probability of developing diabetes and cardiovascular disease. Around 50% of individuals with type 1 diabetes (T1D) are overweight or obese and triglyceridemia is associated with the onset of micro- and macrovascular complications. METHODS: A cross-sectional study was conducted in men with T1D to assess the association between the prevalence of hypertriglyceridemic waist and cardiovascular risk factors and hypogonadism. Triglyceride levels + abdominal circumference taken together were stratified into quartiles to identify the hypertriglyceridemic waist phenotype. RESULTS: One hundred and eighty-one male patients were included. An increased prevalence of hypogonadism and hypertension in parallel to increased triglyceride + waist circumference quartile was observed. Patients in the highest quartile had higher insulin resistance measured by estimated glucose disposal rate (eGDR 7.8±2.1 mg/kg-1.min-1 in 1st quartile vs. 5.8±1.8 mg/kg-1.min-1 in 4th quartile, P=0.000), insulin requirements, hip circumference, percentage of fat mass, glycosilated hemoglobin and total and LDL cholesterol as well as lower levels of total testosterone (27.24±9.3 nmol/L in 1st quartile vs. 17.4±8 nmol/L in 4th quartile, P=0.000) and HDL cholesterol. An inverse relationship was found between triglycerides + waist circumference and total testosterone levels (R=-0.367, P<0.0001). CONCLUSIONS: The hypertriglyceridemic waist in men with T1D is associated with an atherogenic lipid profile, hypertension, worse metabolic diabetes control, increased insulin resistance and a higher prevalence of hypogonadism.

Testosterone undecanoate improves lipid profile in patients with type 1 diabetes and hypogonadotrophic hypogonadism.

Testosterone deficiency (Td) has been associated with the metabolic syndrome. Few studies have evaluated this condition in type 1 diabetes (T1D). The primary aim of this study was to evaluate the effectiveness of testosterone undecanoate (TU) on insulin sensitivity, glycemic control, anthropometric parameters, blood pressure and lipid profile in patients with Td and T1D. We performed a randomized placebo-controlled multicenter study. INCLUSION CRITERIA: a) age ≥ 18 years; b) autoimmune diabetes; c) Td (total testosterone <10 nmol/L or calculated free testosterone <225 pmol/L and low/normal LH; d) ability to sign informed consent; e) comply with the study protocol. EXCLUSION CRITERIA: a) pituitary tumor, empty sella, hyperprolactinemia, panhypopituitarism or secondary hypogonadism; b) contraindications for treatment with testosterone undecanoate (TU); c) patients who did not agree to sign their informed consent. Six patients were randomly assigned to testosterone undecanoate (TU) treatment and 7 to placebo with the following dosing schedule: baseline, 6 weeks and 16 weeks. Blood test, anthropometric parameters, blood pressure and insulin sensitivity were determined at baseline, 6, 16 and 22 weeks. No differences were observed regarding insulin sensitivity, HbA1c or basal glucose, anthropometric parameters or blood pressure. At 22 weeks, the decrease in total cholesterol was 37.4 ± 27.5 mg/dL in the TU group compared with an increase of 13.2 ± 17.8 mg/dL in the placebo group (P<0.005), and LDL cholesterol concentration decreased 30.2 ± 22.1 mg/dL, compared with an increase of 10.5 ± 13.4 mg/dL in the placebo group (P=0.004). We conclude that treatment with TU in patients with T1D and Td improves lipid profile, with no effects on metabolic control or anthropometric parameters.

Age, insulin requirements, waist circumference, and triglycerides predict hypogonadotropic hypogonadism in patients with type 1 diabetes.

INTRODUCTION: The prevalence of hypogonadotropic hypogonadism (HH) in patients with type 2 diabetes mellitus is higher than in the general population and leads to detrimental effects on metabolic control, lipid profile, and body composition. Few studies have examined its role in type 1 diabetes mellitus. AIM: To determine the prevalence of HH in patients with type 1 diabetes and associated risk factors. MAIN OUTCOME MEASURES: Clinical and biochemical parameters were gathered on initial evaluation. An HH score creating different experimental models was devised to calculate the risk of HH for an individual with type 1 diabetes. METHODS: Cross-sectional study of 181 male patients with type 1 diabetes consecutively admitted to the Diabetes outpatient clinics of three urban hospitals. All participants were Caucasians aged ≥ 18 years with type 1 diabetes duration of more than 6 months. RESULTS: One hundred and eighty-one male patients with a mean age of 44.2 ± 13.2 years and a type 1 diabetes duration of 18.9 ± 12.7 years were included. Fifteen patients had HH, representing a prevalence of 8.3% (95% confidence interval [CI]: 4.3-12.3%). Age (odds ratio [OR] 1.066 [95% CI: 1.002-1.134]), waist circumference (OR 1.112 [95% CI: 1028-1203]), and insulin requirements ([IU/Kg] ×10 [OR 1.486 {95% CI: 1052-2.098}]) were independently associated with the presence of HH. The model that best predicted HH generated this formula: HH-score = (1.060 × age) + (1.084 × waist circumference) + (14.00 × insulin requirements) + triglycerides, where age was expressed in years, waist circumference in cm, insulin requirements in IU/kg/d, and triglycerides in mg/dL. An HH score > 242.4 showed 100% sensitivity and 53.2% specificity for HH diagnosis; positive and negative predictive values were 17.0 % and 100%, respectively. CONCLUSIONS: One in 10 men with type 1 diabetes presents HH. This condition is associated with age, waist circumference, and insulin requirements. A simple formula based on clinical parameters can rule out its presence.