Browse
Submit Data
Databases
API
Help

Dataset Information

20 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Investigation of the influence of pancreatic surgery on new-onset and persistent diabetes mellitus.

ABSTRACT:

Aim

The management of diabetes mellitus (DM) after pancreatic surgery is a long-standing issue. We aimed to investigate DM concerning pancreatic surgery, including new onset diabetes mellitus (NODM), DM resolution, and the change in insulin excretion before/after pancreatic surgery.

Methods

We retrospectively investigated three different cohorts (total 403 patients) undergoing pancreatectomy. Of those, 275 patients without preoperative DM were investigated for the risk factors of NODM. Fifty-four patients without preoperative DM of the other cohort were assessed for pre/postoperative 24-hour urinary C-peptide excretion (24-hr CPR). To evaluate the influence of pancreatic surgery on DM treatment in patients with preoperative DM, 74 patients were investigated. In all those patients, the pancreatic volume in pre/postoperative images was assessed to estimate the resected pancreatic volume.

Results

NODM was observed in 60 patients (21%), and a lower ratio of remnant pancreatic volume (RRPV) was the only significant risk factor for NODM. Postoperative 24-hr CPR was significantly associated with two factors, RRPV and preoperative 24-hr CPR. Nine of 74 patients with preoperative DM achieved DM resolution after pancreatic surgery, and the presence of gastrointestinal anastomosis was a significant preferable factor for DM resolution.

Conclusions

Considering the management of DM after surgery, both predicting the postoperative pancreatic volume and the presence of gastrointestinal reconstruction are significant. We concluded that the combined assessment of the predicted remnant pancreatic volume and the preoperative 24-hr CPR value is useful to predict the postoperative pancreatic function.

SUBMITTER: Yamada D

PROVIDER: S-EPMC8316753 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Predictors for Pancreatic Cancer Diagnosis Following New-Onset Diabetes Mellitus.

Project description:New-onset diabetes mellitus (NODM) in adults is often an early manifestation of pancreatic cancer (PaCa), but the incidence of PaCa in this cohort is rather low. We evaluated whether combining other patient factors such as age, smoking history, the absence of obesity, the presence of chronic pancreatitis (CP), and gallstone disease can result in a more enriched cohort.After a washout period of 2 years to exclude pre-existing PaCa or DM, 507,378 non-diabetic patients in the veterans' administration healthcare system were identified. Patients <40 years (n=54,465) and those with PaCa diagnosed before the diagnosis of diabetes (n=22) were excluded. A total of 452,804 veterans were followed for development of DM or PaCa.73,811 patients (16.3%) developed NODM during the follow-up period. One hundred and eighty-three NODM patients (0.25%) were diagnosed with PaCa within 3 years. In comparison, 434 of 378,993 remaining patients (0.11%) developed PaCa in 3 years following inclusion into the study [relative risk (RR)=2.27, 95% confidence intervals (CI) 1.96, 2.63; P<0.0001]. The risk of PaCa diagnosis was higher among patients who were non-obese (RR=1.51), were ≥65 years old (RR=2.01), were heavy smokers (RR=1.55), and had a history of CP (RR=4.72) or gallstone disease (RR=2.02). Using a combination of these risk factors in NODM patients resulted in up to 0.72% three-year risk of PaCa but captured only 17% of patients with PaCa.Based on our findings, the likelihood of PaCa in adults with NODM even after adjusting for other potential risk factors for PaCa including age, body mass index, smoking, gallstones, and CP is probably not high enough to recommend routine evaluation for all these patients for underlying PaCa.

| S-EPMC4816040 | biostudies-other

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

Project description: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.

| S-EPMC7597507 | biostudies-literature

Serum metabolomics differentiating pancreatic cancer from new-onset diabetes.

Project description:To establish a screening strategy for pancreatic cancer (PC) based on new-onset diabetic mellitus (NO-DM), serum metabolomics analysis and a search for the metabolic pathways associated with PC related DM were performed. Serum samples from patients with NO-DM (n = 30) and patients with pancreatic cancer and NO-DM were examined by liquid chromatography-mass spectrometry. Data were analyzed using principal components analysis (PCA) and orthogonal projection to latent structures (OPLS) of the most significant metabolites. The diagnostic model was constructed using logistic regression analysis. Metabolic pathways were analyzed using the web-based tool MetPA. PC patients with NO-DM were older and had a lower BMI and shorter duration of DM than those with NO-DM. The metabolomic profiles of patients with PC and NO-DM were significantly different from those of patients with NO-DM in the PCA and OPLS models. Sixty two differential metabolites were identified by the OPLS model. The logistic regression model using a panel of two metabolites including N_Succinyl_L_diaminopimelic_acid and PE (18:2) had high sensitivity (93.3%) and specificity (93.1%) for PC. The top three metabolic pathways associated with PC related DM were valine, leucine and isoleucine biosynthesis and degradation, primary bile acid biosynthesis, and sphingolipid metabolism. In conclusion, screening for PC based on NO-DM using serum metabolomics in combination with clinic characteristics and CA19-9 is a potential useful strategy. Several metabolic pathways differed between PC related DM and type 2 DM.

| S-EPMC5438717 | biostudies-literature

Hypomagnesemia and the Risk of New-Onset Diabetes Mellitus after Kidney Transplantation.

Project description:Several studies suggest a link between post-transplant hypomagnesemia and new-onset diabetes after transplantation (NODAT), but this relationship remains controversial. We conducted a retrospective cohort study of 948 nondiabetic kidney transplant recipients from January 1, 2000, to December 31, 2011, to examine the association between serum magnesium level and NODAT. Multivariable Cox proportional hazards models were fitted to evaluate the risk of NODAT as a function of baseline (at 1 month), time-varying (every 3 months), and rolling-average (i.e., mean for 3 months moving at 3-month intervals) serum magnesium levels while adjusting for potential confounders. A total of 182 NODAT events were observed over 2951.2 person-years of follow-up. Multivariable models showed an inverse relationship between baseline serum magnesium level and NODAT (hazard ratio [HR], 1.24 per 0.1 mmol/L decrease; 95% confidence interval [95% CI], 1.05 to 1.46; P=0.01). The association with the risk of NODAT persisted in conventional time-varying (HR, 1.32; 95% CI, 1.14 to 1.52; P<0.001) and rolling-average models (HR, 1.34; 95% CI, 1.13 to 1.57; P=0.001). Hypomagnesemia (serum magnesium <0.74 mmol/L) also significantly associated with increased risk of NODAT in baseline (HR, 1.58; 95% CI, 1.07 to 2.34; P=0.02), time-varying (HR, 1.78; 95% CI, 1.29 to 2.45; P<0.001), and rolling-average models (HR, 1.83; 95% CI, 1.30 to 2.57; P=0.001). Our results suggest that lower post-transplant serum magnesium level is an independent risk factor for NODAT in kidney transplant recipients. Interventions targeting serum magnesium to reduce the risk of NODAT should be evaluated.

| S-EPMC4884111 | biostudies-literature

Upregulation of <i>FOXO3</i> in New-Onset Type 1 Diabetes Mellitus.

Project description:Forkhead box O (FOXO) transcription factors have been implicated in the development and differentiation of the immune cells. FOXO3 plays a crucial role in physiologic and pathologic immune response. FOXO3, cooperatively with FOXO1, control the development and function of Foxp3+ regulatory T cells (Treg). Since the lack of Treg-mediated control has fundamental impact on type 1 diabetes mellitus (T1DM) development, we investigated FOXO3 expression in patients with T1DM. FOXO3 expression was estimated in peripheral blood mononuclear cells (PBMCs) from newly diagnosed T1DM pediatric patients (n = 28) and age-matched healthy donors (n = 27) by reahavel-time PCR and TaqMan gene expression assays. Expression analysis revealed significant upregulation of FOXO3 in T1DM (P = 0.0005). Stratification of the T1DM group according to the presence of initial diabetic ketoacidosis (DKA) did not indicate differences in FOXO3 expression in patients with DKA compared to a mild T1DM onset (P > 0.05). In conclusion, overexpression of FOXO3 is correlated with the ongoing islet autoimmune destruction and might suggest a potential role for this gene in the pathogenesis of type 1 diabetes mellitus.

| S-EPMC7441418 | biostudies-literature

Effect of pioglitazone on the course of new-onset type 1 diabetes mellitus.

Project description:ObjectiveType 1 diabetes mellitus (T1DM) is caused by insulin deficiency resulting from progressive destruction of β cells. The histological hallmark of the diabetic islet is mononuclear cell infiltration. Thiazolidinediones (TZDs) activate PPARg and enhance the actions of insulin. Studies in non-obese diabetic and streptocotozin-treated mouse models demonstrated that pretreatment with TZDs prevented the development of T1DM. The purpose of this study was to examine whether pioglitazone, given with insulin, preserved β cell function in patients with new-onset T1DM.MethodsThis was a randomized, double-blind, placebo-controlled 24-week study. Subjects received pioglitazone or placebo. Blood sugar, glycated hemoglobin (HbA1c), C-peptide, and liver enzymes were measured at baseline. Boost© stimulated C-peptide responses were measured at baseline and at 24 weeks. Blood sugar, insulin dose, height, weight, and liver enzymes were monitored at each visit. HbA1c was performed every 12 weeks.ResultsOf the 15 patients, 8 received pioglitazone, and 7 - placebo. There was no clinical improvement in HbA1c between or within groups at the completion of the study. Mean peak C-peptide values were similar between groups at baseline. Mean peak C-peptide level was slightly higher at 24 weeks in the pioglitazone group compared to the placebo (1.8 vs. 1.5 ng/mL) which was considered as clinically insignificant. The interaction of HbA1c and insulin dose (HbA1c* insulin/kg/day), which combines degree of diabetic control and dose of insulin required to achieve this control, showed transient improvement in the pioglitazone group at 12 weeks but was not sustained at 24 weeks.ConclusionIn this pilot study, pioglitazone did not preserve β cell function when compared to placebo.

| S-EPMC3890222 | biostudies-literature

Risk factors and prediction score for new-onset diabetes mellitus after liver transplantation.

Project description:AimNew-onset diabetes mellitus is a frequent and severe complication arising after liver transplantation (LT). We aimed to identify the risk factors for new-onset diabetes mellitus after liver transplantation (NODALT) and to develop a risk prediction score system for relevant risks.MethodsWe collected and analyzed data from all recipients who underwent liver transplantation at the First Affiliated Hospital of Xi'an Jiaotong University. The OR derived from a multiple logistic regression predicting the presence of NODALT was used to calculate the risk prediction score. The performance of the risk prediction score was externally validated in patients who were from the CLTR (China Liver Transplant Registry) database.ResultsA total of 468 patients met the outlined criteria and finished the follow-up. Overall, NODALT was diagnosed in 115 (24.6%) patients. Age, preoperative impaired fasting glucose (IFG), postoperative fasting plasma glucose (FPG), and the length of hospital stay were significantly associated with the presence of NODALT. The risk prediction score includes age, preoperative IFG, postoperative FPG, and the length of hospital stay. The risk prediction score of the area under the receiver operating curve was 0.785 (95% CI: 0.724-0.846) in the experimental population and 0.782 (95% CI: 0.708-0.856) in the validation population.ConclusionsAge at the time of transplantation, preoperative IFG, postoperative FPG, and length of hospital stay were independent predictive factors of NODALT. The use of a simple risk prediction score can identify the patients who have the highest risk of NODALT and interventions may start early.

| S-EPMC11292396 | biostudies-literature

Comparative risk of new-onset diabetes mellitus for antihypertensive drugs: A network meta-analysis.

Project description:New-onset diabetes mellitus (NOD) refers to forms of diabetes mellitus that develop during the therapeutic processes of other diseases such as hypertension. This study has been conducted in a network meta-analysis to compare antihypertensive drugs by identifying both the advantages and disadvantages on NOD by focusing on their respective effect rates. Odd ratios and corresponding 95% confidence intervals or credible intervals were calculated within pairwise and network meta-analysis. A total of 38 articles with 224 140 patients were included to evaluate the preventive effect of hypertension drugs on NOD. From the network meta-analysis it was evident that both angiotensin-converting enzyme inhibitor as well as angiotensin receptor blocker treatments are associated with a lower risk of developing NOD compared with placebo, with ranking probabilities of 79.81% and 72.77%, respectively, while β-blockers and calcium channel blockers may significantly increase the probability of developing NOD (β-blockers: odds ratio, 2.18 [95% credible intervals: 1.36-3.50]; calcium channel blockers: odds ratio, 1.16 [95% credible intervals, 1.05-1.29]). In conclusion, angiotensin receptor blockers have an advantage over the other treatments regarding the NOD.

| S-EPMC8030754 | biostudies-literature

New-Onset Diabetes Mellitus, Hypertension, Dyslipidaemia as Sequelae of COVID-19 Infection-Systematic Review.

Project description:As the population recovers from the coronavirus disease 2019 (COVID-19) pandemic, a subset of individuals is emerging as post-coronavirus disease (post-COVID) patients who experience multifactorial long-term symptoms several weeks after the initial recovery from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The aim of this systematic review is to present the latest scientific reports that evaluate changes in glucose levels, blood pressure readings and lipid profiles after recovery from COVID-19 to verify the hypothesis that new-onset diabetes mellitus, arterial hypertension and dyslipidaemia are a possible sequela of a COVID-19 infection. The open access databases PubMed and Google Scholar were searched. Articles investigating patients with residual clinical signs and biochemical alteration indicating diabetes, hypertension and dyslipidaemia at least a month after recovering from COVID-19 were included. It has been shown that a select number of patients were diagnosed with new-onset diabetes, arterial hypertension and dyslipidaemia after COVID-19 infection. Alterations in glucose levels, blood pressure and lipid profiles months after initial infection shows the importance of considering diabetes mellitus, arterial hypertension and dyslipidaemia as part of the multifactorial diagnostic criteria post-COVID to better provide evidence-based clinical care.

| S-EPMC9602450 | biostudies-literature

Is COVID-19 incriminated in new onset type 2 diabetes mellitus in Lebanese adults?

Project description:BackgroundThe effects of COVID-19 on the organism are still being investigated, especially after the transformation of this virus from a respiratory disease in its first appearance to a multi-organ disease that can affect nearly all systems and organs including the endocrinological system. The objective of the study was to find an association between COVID-19 infection and new onset type 2 diabetes in Lebanese adults.MethodsA retrospective case-control study (2019-2022) included 200 subjects, 100 cases with new onset diabetes and 100 controls recruited from endocrinology clinics in rural and suburban located regions of Lebanon. Univariate and multivariate logistic regression were performed.ResultsOlder age (aOR = 1.07; 95% CI 1.03-1.12), higher BMI (aOR = 1.32; 95% CI 1.17-1.48), having been infected with COVID-19 (aOR = 2.38; 95% CI 1.001-5.68) and having a family history of diabetes (aOR = 11.80; 95% CI 4.23-32.87) were significantly associated with higher odds of having new onset type 2 diabetes after adjusting for multiple risk factors.ConclusionIn addition to the traditional risk factors for developing type 2 diabetes, a recent COVID-19 infection was associated with the new onset DM in our study. Subsequently screening for diabetes should be strongly recommended for patients post COVID-19 infection.

| S-EPMC10439538 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data