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Search Results (11)

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Authors = Ding-Yang Hsu ORCID = 0000-0002-1471-9695

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21 pages, 5090 KiB  
Article
Polysaccharides from Basella alba Protect Post-Mitotic Neurons against Cell Cycle Re-Entry and Apoptosis Induced by the Amyloid-Beta Peptide by Blocking Sonic Hedgehog Expression
by Bo-Yu Hou, Ming-Hsuan Wu, Hui-Yu Hsu, Yi-Chun Lin and Ding-I Yang
Int. J. Mol. Sci. 2024, 25(13), 7316; https://doi.org/10.3390/ijms25137316 - 3 Jul 2024
Cited by 2 | Viewed by 1879
Abstract
The amyloid-beta peptide (Aβ) is the neurotoxic component in senile plaques of Alzheimer’s disease (AD) brains. Previously we have reported that Aβ toxicity is mediated by the induction of sonic hedgehog (SHH) to trigger cell cycle re-entry (CCR) and apoptosis in post-mitotic neurons. [...] Read more.
The amyloid-beta peptide (Aβ) is the neurotoxic component in senile plaques of Alzheimer’s disease (AD) brains. Previously we have reported that Aβ toxicity is mediated by the induction of sonic hedgehog (SHH) to trigger cell cycle re-entry (CCR) and apoptosis in post-mitotic neurons. Basella alba is a vegetable whose polysaccharides carry immunomodulatory and anti-cancer actions, but their protective effects against neurodegeneration have never been reported. Herein, we tested whether polysaccharides derived from Basella alba (PPV-6) may inhibit Aβ toxicity and explored its underlying mechanisms. In differentiated rat cortical neurons, Aβ25-35 reduced cell viability, damaged neuronal structure, and compromised mitochondrial bioenergetic functions, all of which were recovered by PPV-6. Immunocytochemistry and western blotting revealed that Aβ25-35-mediated induction of cell cycle markers including cyclin D1, proliferating cell nuclear antigen (PCNA), and histone H3 phosphorylated at Ser-10 (p-Histone H3) in differentiated neurons was all suppressed by PPV-6, along with mitigation of caspase-3 cleavage. Further studies revealed that PPV-6 inhibited Aβ25-35 induction of SHH; indeed, PPV-6 was capable of suppressing neuronal CCR and apoptosis triggered by the exogenous N-terminal fragment of sonic hedgehog (SHH-N). Our findings demonstrated that, in the fully differentiated neurons, PPV-6 exerts protective actions against Aβ neurotoxicity via the downregulation of SHH to suppress neuronal CCR and apoptosis. Full article
(This article belongs to the Special Issue Neuroprotective Effects of Food Ingredients)
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17 pages, 3461 KiB  
Article
The Influence of the Solid Solution Formation on Purification of L-Menthol from the Enantiomer Mixture by Three-Phase Crystallization
by Yu-Chao Hsu, Sheng-Chin Yang, Kai-Fang Ku and Lie-Ding Shiau
Int. J. Mol. Sci. 2023, 24(19), 14933; https://doi.org/10.3390/ijms241914933 - 5 Oct 2023
Cited by 6 | Viewed by 1771
Abstract
Three-phase crystallization (TPC) was introduced in this study to purify L-menthol from menthol enantiomer mixtures in consideration of the formation of solid solutions. TPC is a new separation technology, which combines melt crystallization and vaporization to result in the desired crystalline product [...] Read more.
Three-phase crystallization (TPC) was introduced in this study to purify L-menthol from menthol enantiomer mixtures in consideration of the formation of solid solutions. TPC is a new separation technology, which combines melt crystallization and vaporization to result in the desired crystalline product from a liquid mixture along with the unwanted components vaporized via the three-phase transformation by reducing temperature and pressure. The three-phase transformation conditions for the liquid menthol enantiomer mixtures were determined based on the thermodynamic calculations to direct the TPC experiments. A new model was proposed based on the mass and energy balances in consideration of the formation of the solid solutions to predict the yield and purity of the final L-menthol product during TPC. The yield and purity obtained from the TPC experiments were compared with those predicted by the model. Full article
(This article belongs to the Section Molecular Pharmacology)
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18 pages, 7933 KiB  
Review
Predicting the Onset of Diabetes with Machine Learning Methods
by Chun-Yang Chou, Ding-Yang Hsu and Chun-Hung Chou
J. Pers. Med. 2023, 13(3), 406; https://doi.org/10.3390/jpm13030406 - 24 Feb 2023
Cited by 84 | Viewed by 9486
Abstract
The number of people suffering from diabetes in Taiwan has continued to rise in recent years. According to the statistics of the International Diabetes Federation, about 537 million people worldwide (10.5% of the global population) suffer from diabetes, and it is estimated that [...] Read more.
The number of people suffering from diabetes in Taiwan has continued to rise in recent years. According to the statistics of the International Diabetes Federation, about 537 million people worldwide (10.5% of the global population) suffer from diabetes, and it is estimated that 643 million people will develop the condition (11.3% of the total population) by 2030. If this trend continues, the number will jump to 783 million (12.2%) by 2045. At present, the number of people with diabetes in Taiwan has reached 2.18 million, with an average of one in ten people suffering from the disease. In addition, according to the Bureau of National Health Insurance in Taiwan, the prevalence rate of diabetes among adults in Taiwan has reached 5% and is increasing each year. Diabetes can cause acute and chronic complications that can be fatal. Meanwhile, chronic complications can result in a variety of disabilities or organ decline. If holistic treatments and preventions are not provided to diabetic patients, it will lead to the consumption of more medical resources and a rapid decline in the quality of life of society as a whole. In this study, based on the outpatient examination data of a Taipei Municipal medical center, 15,000 women aged between 20 and 80 were selected as the subjects. These women were patients who had gone to the medical center during 2018–2020 and 2021–2022 with or without the diagnosis of diabetes. This study investigated eight different characteristics of the subjects, including the number of pregnancies, plasma glucose level, diastolic blood pressure, sebum thickness, insulin level, body mass index, diabetes pedigree function, and age. After sorting out the complete data of the patients, this study used Microsoft Machine Learning Studio to train the models of various kinds of neural networks, and the prediction results were used to compare the predictive ability of the various parameters for diabetes. Finally, this study found that after comparing the models using two-class logistic regression as well as the two-class neural network, two-class decision jungle, or two-class boosted decision tree for prediction, the best model was the two-class boosted decision tree, as its area under the curve could reach a score of 0.991, which was better than other models. Full article
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11 pages, 1171 KiB  
Article
Direct-Acting Antivirals Reduce the De Novo Development of Esophageal Varices in Patients with Hepatitis C Virus Related Liver Cirrhosis
by Yung-Yu Hsieh, Wei-Ming Chen, Kao-Chi Chang, Te-Sheng Chang, Chao-Hung Hung, Yao-Hsu Yang, Shui-Yi Tung, Kuo-Liang Wei, Chen-Heng Shen, Cheng-Shyong Wu, Yuan-Jie Ding, Jing-Hong Hu, Yu-Ting Huang, Meng-Hung Lin, Chung-Kuang Lu, Yi-Hsiung Lin and Ming-Shyan Lin
Viruses 2023, 15(1), 252; https://doi.org/10.3390/v15010252 - 16 Jan 2023
Cited by 7 | Viewed by 2766
Abstract
The real-world benefits of direct-acting antiviral (DAA)-induced sustained virologic response (SVR) on the de novo occurrence and progression of esophageal varices (EV) remain unclear in patients with hepatitis C virus (HCV)-related liver cirrhosis (LC). This is a retrospective cohort study evaluating all patients [...] Read more.
The real-world benefits of direct-acting antiviral (DAA)-induced sustained virologic response (SVR) on the de novo occurrence and progression of esophageal varices (EV) remain unclear in patients with hepatitis C virus (HCV)-related liver cirrhosis (LC). This is a retrospective cohort study evaluating all patients with Child-Pugh class A HCV-related LC during 2013 to 2020 in the Chang Gung Medical System. A total of 215 patients fit the inclusion criteria and were enrolled. Of them, 132 (61.4%) patients achieved DAA induced-SVR and 83 (38.6%) did not receive anti-viral treatment. During a median follow-up of 18.4 (interquartile range, 10.1–30.9) months, the 2-year incidence of de novo EV occurrence was 8 (7.0%) in the SVR group and 7 (12.7%) in the treatment-naïve group. Compared to the treatment-naïve group, the SVR group was associated with a significantly lower incidence of EV occurrence (adjusted hazard ratio [aHR]: 0.47, p = 0.030) and a significantly lower incidence of EV progression (aHR: 0.55, p = 0.033). The risk of EV progression was strongly correlated with the presence of baseline EV (p < 0.001). To the best of our knowledge, this is the first study to demonstrate that DAA-induced SVR is associated with decreased risk of de novo EV occurrence and progression in the real world. Full article
(This article belongs to the Special Issue Viral Hepatitis Treatment 2.0)
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51 pages, 20239 KiB  
Review
Genetics behind Cerebral Disease with Ocular Comorbidity: Finding Parallels between the Brain and Eye Molecular Pathology
by Kao-Jung Chang, Hsin-Yu Wu, Aliaksandr A. Yarmishyn, Cheng-Yi Li, Yu-Jer Hsiao, Yi-Chun Chi, Tzu-Chen Lo, He-Jhen Dai, Yi-Chiang Yang, Ding-Hao Liu, De-Kuang Hwang, Shih-Jen Chen, Chih-Chien Hsu and Chung-Lan Kao
Int. J. Mol. Sci. 2022, 23(17), 9707; https://doi.org/10.3390/ijms23179707 - 26 Aug 2022
Cited by 5 | Viewed by 6318
Abstract
Cerebral visual impairments (CVIs) is an umbrella term that categorizes miscellaneous visual defects with parallel genetic brain disorders. While the manifestations of CVIs are diverse and ambiguous, molecular diagnostics stand out as a powerful approach for understanding pathomechanisms in CVIs. Nevertheless, the characterization [...] Read more.
Cerebral visual impairments (CVIs) is an umbrella term that categorizes miscellaneous visual defects with parallel genetic brain disorders. While the manifestations of CVIs are diverse and ambiguous, molecular diagnostics stand out as a powerful approach for understanding pathomechanisms in CVIs. Nevertheless, the characterization of CVI disease cohorts has been fragmented and lacks integration. By revisiting the genome-wide and phenome-wide association studies (GWAS and PheWAS), we clustered a handful of renowned CVIs into five ontology groups, namely ciliopathies (Joubert syndrome, Bardet–Biedl syndrome, Alstrom syndrome), demyelination diseases (multiple sclerosis, Alexander disease, Pelizaeus–Merzbacher disease), transcriptional deregulation diseases (Mowat–Wilson disease, Pitt–Hopkins disease, Rett syndrome, Cockayne syndrome, X-linked alpha-thalassaemia mental retardation), compromised peroxisome disorders (Zellweger spectrum disorder, Refsum disease), and channelopathies (neuromyelitis optica spectrum disorder), and reviewed several mutation hotspots currently found to be associated with the CVIs. Moreover, we discussed the common manifestations in the brain and the eye, and collated animal study findings to discuss plausible gene editing strategies for future CVI correction. Full article
(This article belongs to the Special Issue Genomics of Brain Disorders 4.0)
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9 pages, 743 KiB  
Article
Effectiveness of Interdisciplinary Teaching on Creativity: A Quasi-Experimental Study
by Hsing-Yuan Liu, Ding-Yang Hsu, Hui-Mei Han, I-Teng Wang, Nai-Hung Chen, Chin-Yen Han, Sheau-Ming Wu, Hsiu-Fang Chen and Ding-Hau Huang
Int. J. Environ. Res. Public Health 2022, 19(10), 5875; https://doi.org/10.3390/ijerph19105875 - 12 May 2022
Cited by 14 | Viewed by 3595
Abstract
Little is known about the effectiveness of Interdisciplinary teaching (IDT) in higher education, particularly for healthcare education in Taiwan. It is vital to determine if IDT could enhance divergent creative thinking and team creativity among nursing students. A quasi-experimental study with a pretest-posttest [...] Read more.
Little is known about the effectiveness of Interdisciplinary teaching (IDT) in higher education, particularly for healthcare education in Taiwan. It is vital to determine if IDT could enhance divergent creative thinking and team creativity among nursing students. A quasi-experimental study with a pretest-posttest design. Students enrolled in a capstone nursing course for the development of healthcare-related products were divided into two groups. The intervention group (n = 61) was taught creative thinking skills with IDT by faculty. The control group (n = 84) was taught by nursing faculty with traditional teaching. This study found that students who received the IDT intervention scored significantly higher on measures of creative thinking and team creativity compared with students in the control group. These findings suggest integrating IDT from nursing and design faculty into the teaching curriculum to foster students’ creative thinking abilities when formulating interdisciplinary student teams to develop innovative, creative healthcare products. Full article
(This article belongs to the Section Nursing)
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18 pages, 7570 KiB  
Review
Effectiveness of Digital Cognitive Behavioral Therapy for Insomnia in Young People: Preliminary Findings from Systematic Review and Meta-Analysis
by Hsin-Jung Tsai, Albert C. Yang, Jun-Ding Zhu, Yu-Yun Hsu, Teh-Fu Hsu and Shih-Jen Tsai
J. Pers. Med. 2022, 12(3), 481; https://doi.org/10.3390/jpm12030481 - 16 Mar 2022
Cited by 31 | Viewed by 8008
Abstract
Various forms of cognitive behavioral therapy for insomnia (CBT-i) have been developed to improve its scalability and accessibility for insomnia management in young people, but the efficacy of digitally-delivered cognitive behavioral therapy for insomnia (dCBT-i) remains uncertain. This study systematically reviewed and evaluated [...] Read more.
Various forms of cognitive behavioral therapy for insomnia (CBT-i) have been developed to improve its scalability and accessibility for insomnia management in young people, but the efficacy of digitally-delivered cognitive behavioral therapy for insomnia (dCBT-i) remains uncertain. This study systematically reviewed and evaluated the effectiveness of dCBT-i among young individuals with insomnia. We conducted comprehensive searches using four electronic databases (PubMed, Cochrane Library, PsycINFO, and Embase; until October 2021) and examined eligible records. The search strategy comprised the following three main concepts: (1) participants were adolescents or active college students; (2) dCBT-I was employed; (3) standardized tools were used for outcome measurement. Four randomized controlled trials qualified for meta-analysis. A significant improvement in self-reported sleep quality with a medium-to-large effect size after treatment (Hedges’s g = −0.58~−0.80) was noted. However, a limited effect was detected regarding objective sleep quality improvement (total sleep time and sleep efficiency measured using actigraphy). These preliminary findings from the meta-analysis suggest that dCBT-i is a moderately effective treatment in managing insomnia in younger age groups, and CBT-i delivered through the web or a mobile application is an acceptable approach for promoting sleep health in young people. Full article
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16 pages, 909 KiB  
Review
Current Insights into Oral Cancer Diagnostics
by Yee-Fun Su, Yi-Ju Chen, Fa-Tzu Tsai, Wan-Chun Li, Ming-Lun Hsu, Ding-Han Wang and Cheng-Chieh Yang
Diagnostics 2021, 11(7), 1287; https://doi.org/10.3390/diagnostics11071287 - 16 Jul 2021
Cited by 52 | Viewed by 14446
Abstract
Oral cancer is one of the most common head and neck malignancies and has an overall 5-year survival rate that remains below 50%. Oral cancer is generally preceded by oral potentially malignant disorders (OPMDs) but determining the risk of OPMD progressing to cancer [...] Read more.
Oral cancer is one of the most common head and neck malignancies and has an overall 5-year survival rate that remains below 50%. Oral cancer is generally preceded by oral potentially malignant disorders (OPMDs) but determining the risk of OPMD progressing to cancer remains a difficult task. Several diagnostic technologies have been developed to facilitate the detection of OPMD and oral cancer, and some of these have been translated into regulatory-approved in vitro diagnostic systems or medical devices. Furthermore, the rapid development of novel biomarkers, electronic systems, and artificial intelligence may help to develop a new era where OPMD and oral cancer are detected at an early stage. To date, a visual oral examination remains the routine first-line method of identifying oral lesions; however, this method has certain limitations and as a result, patients are either diagnosed when their cancer reaches a severe stage or a high-risk patient with OPMD is misdiagnosed and left untreated. The purpose of this article is to review the currently available diagnostic methods for oral cancer as well as possible future applications of novel promising technologies to oral cancer diagnosis. This will potentially increase diagnostic options and improve our ability to effectively diagnose and treat oral cancerous-related lesions. Full article
(This article belongs to the Special Issue Advances in Diagnostics of Head and Neck Cancer)
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10 pages, 3886 KiB  
Article
Deep Neck Infection Risk in Patients with Sleep Apnea: Real-World Evidence
by Meng-Chang Ding, Cheng-Ming Hsu, Stanley Yung-Chuan Liu, Yi-Chan Lee, Yao-Hsu Yang, Chia-Yen Liu, Geng-He Chang, Yao-Te Tsai, Li-Ang Lee, Pei-Rung Yang, Hsueh-Yu Li and Ming-Shao Tsai
Int. J. Environ. Res. Public Health 2021, 18(6), 3191; https://doi.org/10.3390/ijerph18063191 - 19 Mar 2021
Cited by 3 | Viewed by 2776
Abstract
(1) Background: Sleep apnea may be a risk factor for deep neck infection (DNI). The objective of this study was to investigate the effects of sleep apnea on DNI. (2) Methods: In this first nationwide retrospective cohort study on the sleep apnea–DNI correlation, [...] Read more.
(1) Background: Sleep apnea may be a risk factor for deep neck infection (DNI). The objective of this study was to investigate the effects of sleep apnea on DNI. (2) Methods: In this first nationwide retrospective cohort study on the sleep apnea–DNI correlation, we obtained data from the Longitudinal Health Insurance Database 2005, a subset of the Taiwan National Health Insurance Research Database. Patients who were newly diagnosed with sleep apnea between 1997 and 2012 were identified, and patients without sleep apnea were matched at a 1:4 ratio in age, sex, socioeconomic status, and urbanization level. The primary outcome of this study was DNI occurrence. The treatment modalities for sleep apnea and the comorbidities that occurred during the study period were also analyzed. (3) Results: Our sleep apnea and comparison (non-sleep apnea) cohorts comprised 6114 and 24,456 patients, respectively. We compared the cumulative incidence of DNI between these cohorts and found a greater incidence of DNI in the sleep apnea cohort (p < 0.001). A strong sleep apnea–DNI association was found following analysis via the adjusted Cox proportional-hazards model (full model hazard ratio, 1.71; 95% confidence interval, 1.28–2.28; p < 0.001). In the subgroup analysis, sleep apnea increased DNI risk in men, in those aged < 50 years, and in those without diabetes mellitus, end-stage renal disease, liver cirrhosis, autoimmune disease, obesity, tonsillectomy, or adenotonsillectomy. (4) Conclusions: Our results confirmed sleep apnea to be an independent risk factor for DNI. Physicians should be aware of the potential occurrence of DNI in patients with sleep apnea. Full article
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21 pages, 4272 KiB  
Article
A Novel ALDH2 Activator AD-9308 Improves Diastolic and Systolic Myocardial Functions in Streptozotocin-Induced Diabetic Mice
by Hsiao-Lin Lee, Siow-Wey Hee, Chin-Feng Hsuan, Wenjin Yang, Jing-Yong Huang, Ya-Ling Lin, Chih-Neng Hsu, Juey-Jen Hwang, Shiau-Mei Chen, Zhi-Zhong Ding, Tung-Yuan Lee, Yu-Chiao Lin, Feng-Chiao Tsai, Wei-Lun Su, Li-Yun Chueh, Meng-Lun Hsieh, Che-Hong Chen, Daria Mochly-Rosen, Yi-Cheng Chang and Lee-Ming Chuang
Antioxidants 2021, 10(3), 450; https://doi.org/10.3390/antiox10030450 - 13 Mar 2021
Cited by 13 | Viewed by 5735
Abstract
Diabetes mellitus has reached epidemic proportion worldwide. One of the diabetic complications is cardiomyopathy, characterized by early left ventricular (LV) diastolic dysfunction, followed by development of systolic dysfunction and ventricular dilation at a late stage. The pathogenesis is multifactorial, and there is no [...] Read more.
Diabetes mellitus has reached epidemic proportion worldwide. One of the diabetic complications is cardiomyopathy, characterized by early left ventricular (LV) diastolic dysfunction, followed by development of systolic dysfunction and ventricular dilation at a late stage. The pathogenesis is multifactorial, and there is no effective treatment yet. In recent years, 4-hydroxy-2-nonenal (4-HNE), a toxic aldehyde generated from lipid peroxidation, is implicated in the pathogenesis of cardiovascular diseases. Its high bioreactivity toward proteins results in cellular damage. Mitochondrial aldehyde dehydrogenase 2 (ALDH2) is the major enzyme that detoxifies 4-HNE. The development of small-molecule ALDH2 activator provides an opportunity for treating diabetic cardiomyopathy. This study found that AD-9308, a water-soluble andhighly selective ALDH2 activator, can improve LV diastolic and systolic functions, and wall remodeling in streptozotocin-induced diabetic mice. AD-9308 treatment dose-dependently lowered serum 4-HNE levels and 4-HNE protein adducts in cardiac tissue from diabetic mice, accompanied with ameliorated myocardial fibrosis, inflammation, and apoptosis. Improvements of mitochondrial functions, sarco/endoplasmic reticulumcalcium handling and autophagy regulation were also observed in diabetic mice with AD-9308 treatment. In conclusion, ADLH2 activation effectively ameliorated diabetic cardiomyopathy, which may be mediated through detoxification of 4-HNE. Our findings highlighted the therapeutic potential of ALDH2 activation for treating diabetic cardiomyopathy. Full article
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11 pages, 692 KiB  
Article
High Risk of Deep Neck Infection in Patients with Type 1 Diabetes Mellitus: A Nationwide Population-Based Cohort Study
by Geng-He Chang, Meng-Chang Ding, Yao-Hsu Yang, Yung-Hsiang Lin, Chia-Yen Liu, Meng-Hung Lin, Ching-Yuan Wu, Cheng-Ming Hsu and Ming-Shao Tsai
J. Clin. Med. 2018, 7(11), 385; https://doi.org/10.3390/jcm7110385 - 25 Oct 2018
Cited by 21 | Viewed by 4468
Abstract
Objective: To investigate the risk of deep neck infection (DNI) in patients with type 1 diabetes mellitus (T1DM). Methods: The database of the Registry for Catastrophic Illness Patients, affiliated to the Taiwan National Health Insurance Research Database, was used to conduct a retrospective [...] Read more.
Objective: To investigate the risk of deep neck infection (DNI) in patients with type 1 diabetes mellitus (T1DM). Methods: The database of the Registry for Catastrophic Illness Patients, affiliated to the Taiwan National Health Insurance Research Database, was used to conduct a retrospective cohort study. In total, 5741 patients with T1DM and 22,964 matched patients without diabetes mellitus (DM) were enrolled between 2000 and 2010. The patients were followed up until death or the end of the study period (31 December 2013). The primary outcome was the occurrence of DNI. Results: Patients with T1DM exhibited a significantly higher cumulative incidence of DNI than did those without DM (p < 0.001). The Cox proportional hazards model showed that T1DM was significantly associated with a higher incidence of DNI (adjusted hazard ratio, 10.71; 95% confidence interval, 6.02–19.05; p < 0.001). The sensitivity test and subgroup analysis revealed a stable effect of T1DM on DNI risk. The therapeutic methods (surgical or nonsurgical) did not differ significantly between the T1DM and non-DM cohorts. Patients with T1DM required significantly longer hospitalization for DNI than did those without DM (9.0 ± 6.2 vs. 4.1 ± 2.0 days, p < 0.001). Furthermore, the patients with T1DM were predisposed to DNI at a younger age than were those without DM. Conclusions: T1DM is an independent risk factor for DNI and is associated with a 10-fold increase in DNI risk. The patients with T1DM require longer hospitalizations for DNI and are younger than those without DM. Full article
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