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Risk factors for new-onset diabetes mellitus after distal pancreatectomy.

ABSTRACT: INTRODUCTION:Several previous studies have reported the incidence of new-onset diabetes mellitus (NODM) after pancreatectomy. Nevertheless, the results were inconsistent. The true rate of NODM after distal pancreatectomy (DP) is still unknown. RESEARCH DESIGN AND METHODS:The aim of this study was to investigate the incidence of and the risk factors for NODM after DP. This study enrolled patients who underwent DP between January 2004 and February 2016 at Peking Union Medical College Hospital. Patients with preoperative diabetes mellitus or diagnosed with pancreatic cancer were excluded. The primary outcome was NODM. RESULTS:A total of 485 patients were enrolled. The median (IQR) of follow-up duration was 30.95 (9.26-180.30) months. The accumulative incidence of NODM was 8.9% at postoperative 6 months, 14.0% at postoperative year one, 22.3% at year three, 27.1% at year five, and 35.5% at year ten. Multivariate analysis showed that the risk of postoperative NODM was positively correlated with age (HR 1.029 (1.013-1.045), p<0.001), preoperative body mass index (BMI) (HR 1.042 (1.003-1.083), p=0.001), operative blood loss (HR 1.0003 (1.0002-1.0010), p<0.001), and length of resected pancreas (HR 1.079 (1.013-1.148), p=0.017). Moreover, concomitant splenectomy (HR 2.001 (1.202-3.331), p=0.008) was associated with significantly higher risk of postoperative NODM. CONCLUSION:NODM incidence increased with postoperative time progression. Age, BMI, surgical blood loss, length of resected pancreas and splenectomy were independent risk factors for NODM after DP. TRIAL REGISTRATION NUMBER:NCT03030209.

SUBMITTER: Dai M

PROVIDER: S-EPMC7597507 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Risk factors for new-onset diabetes mellitus after distal pancreatectomy.

Dai Menghua M Xing Cheng C Shi Ning N Wang Shunda S Wu Guangdong G Liao Quan Q Zhang Taiping T Chen Ge G Wu Wenming W Guo Junchao J Liu Ziwen Z

BMJ open diabetes research & care 20201001 2

<h4>Introduction</h4>Several previous studies have reported the incidence of new-onset diabetes mellitus (NODM) after pancreatectomy. Nevertheless, the results were inconsistent. The true rate of NODM after distal pancreatectomy (DP) is still unknown.<h4>Research design and methods</h4>The aim of this study was to investigate the incidence of and the risk factors for NODM after DP. This study enrolled patients who underwent DP between January 2004 and February 2016 at Peking Union Medical Colleg ...[more]

PMID: 33122295

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Project description:AbstractPancreatectomy is an invasive surgery that is sometimes associated with complications. New-onset diabetes mellitus sometimes develops after partial pancreatectomy and severely affects the patient's quality of life. This study aimed to develop a preoperative prediction model of new-onset diabetes mellitus after partial pancreatectomy, which will help patients and surgeons to achieve more easily better common decisions on regarding whether to perform partial pancreatectomy. This retrospective cohort study analyzed medical records of patients who underwent partial pancreatectomy (total pancreatectomy excluded) from April 1, 2008, to February 28, 2016, which were available in the database provided by Medical Data Vision Co., Ltd. (Tokyo, Japan). The predictors were preoperative age, body mass index, hemoglobin A1c level, blood glucose level, and indication for partial pancreatectomy. The outcome was the development of new-onset diabetes mellitus at 1 to 12 months after partial pancreatectomy. We used a logistic regression model and calculated the scores of each predictor. To determine test performance, we assessed discrimination ability using the receiver operating characteristic curve and calibration with a calibration plot and the Hosmer-Lemeshow test. We also performed internal validation using the bootstrap method. Of 681 patients, 125 (18.4%) had new-onset diabetes mellitus after partial pancreatectomy. The developed prediction model had a possible range of 0 to 46 points. The median score was 13, and the interquartile range was 9 to 22. The C-statistics of the receiver operating characteristic curve on the score to predict the outcome was .70 (95% confidence interval [CI], .65-.75). Regarding the test performance, the Hosmer-Lemeshow test was not significant (P = .17), and calibration was good. In the bootstrapped cohorts, the C-statistics was .69 (95% CI, .62-.76). We developed a preoperative prediction model for new-onset diabetes mellitus after partial pancreatectomy. This would provide important information for surgeons and patients when deciding whether to perform partial pancreatectomy.

Project description:BACKGROUND:New-onset diabetes after transplantation (NODAT) is associated with reduced patient and graft survival. This study examined the clinical and selected genetic factors associated with NODAT among renal-transplanted Malaysian patients. METHODS:This study included 168 non-diabetic patients (58% males, 69% of Chinese ethnicity) who received renal transplantation between 1st January 1994 to 31st December 2014, and were followed up in two major renal transplant centres in Malaysia. Fasting blood glucose levels were used to diagnose NODAT in patients who received renal transplantation within 1 year. Two single nucleotide polymorphisms (SNPs), namely; rs1494558 (interleukin-7 receptor, IL-7R) and rs2232365 (mannose-binding leptin-2, MBL2) were selected and genotyped using Sequenom MassArray platform. Cox proportional hazard regression analyses were used to examine the risk of developing NODAT according to the different demographics and clinical covariates, utilizing four time-points (one-month, three-months, six-months, one-year) post-transplant. RESULTS:Seventeen per cent of patients (n?=?29, 55% males, 69% Chinese) were found to have developed NODAT within one-year of renal transplantation based on their fasting blood glucose levels. NODAT patients had renal transplantation at an older age compared to non-NODAT (39.3?±?13.4 vs 33.9?±?11.8?years, p?=?0.03). In multivariate analysis, renal-transplanted patients who received a higher daily dose of cyclosporine (mg) were associated with increased risk of NODAT (Hazard ratio (HR) =1.01 per mg increase in dose, 95% confidence interval (CI) 1.00-1.01, p?=?0.002). Other demographic (gender, ethnicities, age at transplant) and clinical factors (primary kidney disease, type of donor, place of transplant, type of calcineurin inhibitors, duration of dialysis pre-transplant, BMI, creatinine levels, and daily doses of tacrolimus and prednisolone) were not found to be significantly associated with risk of NODAT. GA genotype of rs1494558 (HR?=?3.15 95% CI 1.26, 7.86) and AG genotype of rs2232365 (HR?=?2.57 95% CI 1.07, 6.18) were associated with increased risk of NODAT as compared to AA genotypes. CONCLUSION:The daily dose of cyclosporine and SNPs of IL-7R (rs1494558) and MBL2 (rs2232365) genes are significantly associated with the development of NODAT in the Malaysian renal transplant population.

Project description:PurposeNew-onset diabetes after transplantation (NODAT) is a major complication after kidney transplantation. The risk factors for NODAT include the use of calcineurin inhibitors as part of the immunosuppressive regimen, among which tacrolimus has the most pronounced diabetogenic effect. Both NODAT and type 2 diabetes mellitus (T2DM) share several risk factors. Recent studies have identified a number of common genetic variants associated with increased risk of T2DM. Here we report the results of our study on the potential effect of single nucleotide polymorphisms (SNPs) previously associated with T2DM on the risk of NODAT in kidney transplant patients medicated with tacrolimus.MethodsSeven SNPs in six genes known to increase the risk of T2DM in Caucasians were genotyped by means of TaqMan assays in 235 kidney transplant patients medicated with tacrolimus: rs4402960 and rs1470579 in IGF2BP2; rs1111875 in HHEX; rs10811661 upstream of CDKN2A/B; rs13266634 in SLC30A8; rs1801282 in PPARG; rs5215 in KCNJ11. The TCF7L2 rs7903146 SNP was also included in the multivariate analysis.ResultsNone of the analyzed SNPs was significantly associated with the risk of NODAT. However, the IGF2BP2 rs4402960 T allele was present significantly more frequently among patients diagnosed with NODAT more than 2 weeks after transplantation (p?=?0.048). Mean (± standard deviation) number of the analyzed alleles tended to be lower in patients without NODAT (6.19?±?1.71) than in NODAT patients (6.58?±?1.1.95; p?=?0.09) and significantly lower compared to late-onset NODAT patients (7.03?±?1.88; p?=?0.018). Multivariate analysis confirmed the significance of 'diabetogenic' allele number in late-onset NODAT development [odds ratio (OR) 1.37, 95 % confidence interval (CI) 1.05-1.78; p?=?0.017]. Additionally, individuals carrying >7 of the analyzed 'diabetogenic' alleles were at a significantly higher risk of NODAT (OR 2.17, 95 % CI 1.18-3.99; p?=?0.015).ConclusionsComplex analysis of genotypes increasing the risk of diabetes may lead to the identification of NODAT susceptibility predictors.

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Risk factors for new-onset diabetes mellitus after distal pancreatectomy.

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Risk factors for new-onset diabetes mellitus after distal pancreatectomy.

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