Diabetic peripheral neuropathy: age-stratified glycemic control.

Background: We explore the effect of suboptimal glycemic control on the incidence of diabetic peripheral neuropathy (DPN) in both non-elderly and elderly patients with type 2 diabetes mellitus (T2DM). Methods: A 6-year follow-up study (2013-2019) enrolled T2DM patients aged >20 without DPN. Participants were classified into two groups: those below 65 years (non-elderly) and those 65 years or older (elderly). Biochemical measurements, including glycated hemoglobin (HbA1C), were recorded regularly. DPN was diagnosed using the Michigan Neuropathy Screening Instrument examination. The outcome was DPN occurrence in 2019. Results: In 552 enrollments (69% non-elderly), DPN occurred in 8.4% non-elderly and 24.0% elderly patients. A higher initial HbA1C level was significantly linked with a higher risk of future DPN in the non-elderly group (adjusted odds ratio [AOR] 1.46, 95% CI 1.13-1.89, p=0.004). In comparison, HbA1c at the end of the study period was not associated with DPN in the non-elderly group (AOR 1.17, 95% CI 0.72-1.90, p=0.526). In the elderly group, no statistical relationship was found between HbA1C levels and DPN, either in 2013 or in 2019. Conclusion: Suboptimal glycemic control at baseline, rather than at the end of the study period, predicts an increased risk of future DPN in individuals with T2DM under age 65. This correlation is not seen in elderly patients. Therefore, we recommend implementing enhanced glycemic control early in middle-aged T2DM patients and propose individualized therapeutic strategies for diabetes in different age groups.

Deep-Learning-Based Automated Anomaly Detection of EEGs in Intensive Care Units.

An intensive care unit (ICU) is a special ward in the hospital for patients who require intensive care. It is equipped with many instruments monitoring patients' vital signs and supported by the medical staff. However, continuous monitoring demands a massive workload of medical care. To ease the burden, we aim to develop an automatic detection model to monitor when brain anomalies occur. In this study, we focus on electroencephalography (EEG), which monitors the brain electroactivity of patients continuously. It is mainly for the diagnosis of brain malfunction. We propose the gated-recurrent-unit-based (GRU-based) model for detecting brain anomalies; it predicts whether the spike or sharp wave happens within a short time window. Based on the banana montage setting, the proposed model exploits characteristics of multiple channels simultaneously to detect anomalies. It is trained, validated, and tested on separated EEG data and achieves more than 90% testing performance on sensitivity, specificity, and balanced accuracy. The proposed anomaly detection model detects the existence of a spike or sharp wave precisely; it will notify the ICU medical staff, who can provide immediate follow-up treatment. Consequently, it can reduce the medical workload in the ICU significantly.

The association between hyperlipidemia, lipid-lowering drugs and diabetic peripheral neuropathy in patients with type 2 diabetes mellitus.

AIMS: Previous studies showed conflicting relationship between hyperlipidemia, lipid-lowering therapy and diabetic peripheral neuropathy (DPN). As most of these works emerges from the Western and Australian countries, our study aims to investigate whether hyperlipidemia or lipid-lowering therapy (LLT) is associated with DPN in Taiwanese patients with type 2 diabetes (T2D). METHODS: A cross-sectional, hospital-based observation study in adults with T2D was conducted from January to October 2013. DPN was screened using the Michigan Neuropathy Screening Instrument. Data were obtained at the time of enrollment, including medication usage, anthropometric measurements and laboratory examinations. RESULTS: 2,448 participants were enrolled, 524 (21.4%) of whom had DPN. Patients with DPN had significantly lower plasma total cholesterol (185.6 ± 38.6 vs 193.4 ± 42.3 mg/dL) and low-density lipoprotein cholesterol levels (114.6 ± 32.7 vs 119 ± 30.8 mg/dL). Multivariate analysis demonstrated that neither hyperlipidemia (adjusted OR (aOR), 0.81; 95% confidence interval (CI), 0.49-1.34) nor LLT (aOR, 1.10; 95% CI, 0.58-2.09) was associated with DPN. Subgroup analysis revealed that neither total cholesterol (aOR, 0.72; 95% CI, 0.2-2.62), low-density lipoprotein cholesterol levels (aOR, 0.75; 95% CI, 0.2-2.79), statin (aOR, 1.09; 95% CI, 0.59-2.03) nor fibrate (aOR, 1.73; 95% CI, 0.33-1.61) was associated with DPN. CONCLUSION: Our results suggest that neither hyperlipidemia nor lipid-lowering medication was associated with DPN in adults with T2D. DPN is a multifactorial disease, and our findings indicate that lipid metabolism may play a minor role in its pathogenesis.

Renal impairment is one of appropriate predictors of future diabetic peripheral neuropathy: a hospital-based 6-year follow-up study.

The relationship between renal impairment and diabetic peripheral neuropathy (DPN) remains inconclusive. We aim to investigate the risk factors for the occurrence of DPN in Taiwanese adults with type 2 diabetes mellitus (T2DM) and focus on renal impairment. A hospital-based study was conducted from 2013 to 2019 and 552 Taiwanese people who had T2DM without DPN at baseline were enrolled. DPN was diagnosed using the Michigan Neuropathy Screening Instrument. Potential risk factors were recorded, including patient's sociodemographic factors, current medication usage and biochemical markers. As of 2019, 73 developed DPN and 479 had no DPN. The cumulative incidence during the 6-year period was 13.22%. Multivariable logistic regression analysis revealed that lower estimated glomerular filtration rate (eGFR) (odds ratio [OR] 0.98, p = 0.005), advanced age (OR 1.06, p = 0.001), increased body weight (OR 1.04, p = 0.018), duration of DM (OR 1.05, p = 0.036) and male gender (OR 3.69, p = 0.011) were significantly associated with future DPN. In addition, patients with T2DM under the age of 65 with higher serum creatinine concentration (OR 8.91, p = 0.005) and higher baseline HbA1C (OR 1.71, p < 0.001) revealed significantly associated with future DPN. In conclusion, this is the first large scaled hospital-based study with long term follow-up to investigate risk factors for DPN in Taiwanese. Lower eGFR and higher serum creatinine concentration, particularly in people under the age of 65, are predictors of future DPN in Taiwanese people with T2DM. Other predictors included advanced age, increased body weight, duration of DM, male gender for all ages and HbA1c in enrolled patients under the age of 65. Our study not only confirms the association between renal impairment and future DPN but also provides a commonly available assessment to predict the future DPN.

Reconfirmation of newly discovered risk factors of diabetic peripheral neuropathy in patients with type 2 diabetes: A case-control study.

AIMS: The aim of the present study was to investigate the major determinants of diabetic peripheral neuropathy (DPN) in patients with type 2 diabetes (T2D), considering the traditional and newly discovered risk factors, including hypoglycaemia and glycemic variability. METHODS: This retrospective case-control study was conducted in a tertiary care hospital in Taiwan. A total of 2,837 patients with T2D were recruited, medical history and biochemical data were obtained, and patients were screened for DPN using the Michigan Neuropathy Screening Instrument (MNSI). DPN was defined as an MNSI exam score > 2. A stepwise selection of variables was used based on the Akaike Information Criterion (AIC) and the Schwarz Criterion (SC). Multivariate analysis was performed using the identified variables obtained from the stepwise selection. RESULTS: Among the recruited patients, 604 (21.3%) were found to have DPN. 275 patients with DPN were selected because of longer follow up period before enrollment and complete data of glycemic parameters, and paired with 351 patients with T2D without DPN and matched for age, gender, and diabetes duration. The results of the stepwise selection showed that the presence of moderately and severely increased albuminuria yielded the lowest values of AIC and SC, which indicate the best predictive performance. Multivariate analysis demonstrated that moderately and severely increased albuminuria and greater long-term glycemic variability significantly increased the risk of DPN, with a corresponding odds ratio of 1.85 and 1.61 (95%confidence intervals of 1.25-2.73and1.02-2.55, respectively), after adjusted for hypoglycaemia and types of diabetes treatment. CONCLUSIONS: Albuminuria is a potent predictor of DPN, and greater long-term glycemic variabilityis clearly associated with DPN in adults with T2D. These findings indicate that, in addition to achieve average blood glucose control, screening for albuminuria and reducing blood glucose fluctuations might be useful for improving diabetic microvascular complications.

Variability of fasting plasma glucose and the risk of painful diabetic peripheral neuropathy in patients with type 2 diabetes.

AIM: The relationship between glycaemic variability and painful diabetic peripheral neuropathy (PDPN) in patients with type 2 diabetes (T2D) is unclear. The aim of this study was to investigate whether variations in fasting plasma glucose (FPG), as represented by the coefficient of variation (CV), were associated with the risk of PDPN in patients with T2D. METHODS: This case-control, retrospective study was conducted at a tertiary care hospital in Taiwan. We enrolled adults with T2D from January 1 through October 31, 2013. PDPN was diagnosed using the Michigan Neuropathy Screening Instrument (MNSI) and Douleur Neuropathique 4 (DN4) questionnaire. Variability in FPG was defined as a CV of visit-to-visit FPG for every 3-month interval during follow-up period before enrolment. RESULTS: A total of 2,773 patients were enrolled. One hundred patients with PDPN were randomly selected and paired with 175 consecutive patients with non-painful diabetic peripheral neuropathy and 351 patients with T2D without diabetic peripheral neuropathy, matched for age, gender, and diabetic duration. After multivariate adjustment, the FPG-CV was significantly associated with a risk of PDPN with a corresponding odds ratio of 4.08 (95% confidence interval [CI] of 1.60-10.42) and 5.49 (95% CI of 2.14-14.06) for FPG-CV in the third and fourth versus first FPG-CV quartiles, respectively, after considering glycated haemoglobin (HbA1c). CONCLUSION: Long-term variability as evaluated by FPG-CV was associated to the risk of PDPN in adults with T2D. However, further studies are needed to know whether the FPG-CV is not simply a marker of the ambient hyperglycaemia.

Prevalence and biochemical risk factors of diabetic peripheral neuropathy with or without neuropathic pain in Taiwanese adults with type 2 diabetes mellitus.

AIMS: To investigate the prevalence and risk factors for diabetic peripheral neuropathy with or without neuropathic pain in Taiwanese. METHODS: A cross-sectional, hospital-based observational study was conducted. We enrolled 2837 adults with type 2 diabetes mellitus. Diabetic peripheral neuropathy with or without pain were diagnosed using 2 validated screening tools, namely the Michigan Neuropathy Screening Instrument and Douleur Neuropathique 4 questionnaire. RESULTS: In our sample, 2233 participants had no neuropathy, 476 had diabetic peripheral neuropathy without pain, and 128 had diabetic peripheral neuropathy with neuropathic pain, representing an overall diabetic peripheral neuropathy prevalence of 21.3%, and the prevalence of neuropathic pain in diabetic peripheral neuropathy was 21.2%. Multivariate analysis revealed that older age (P<0.001), treatment with insulin (P=0.004), microalbuminuria (P=0.001) or overt proteinuria (P<0.001) were independently associated with diabetic peripheral neuropathy, whereas older age (P<0.001), elevated glycated haemoglobin (P=0.011), lower high-density lipoprotein cholesterol (P=0.033), and overt proteinuria (P<0.001) were independently associated with diabetic peripheral neuropathy with neuropathic pain. CONCLUSIONS: During clinical visits involving biochemical studies, the risk for diabetic peripheral neuropathy with neuropathic pain should be considered for people with older age, elevated glycated haemoglobin, low high-density lipoprotein cholesterol and overt proteinuria, with particular attention given to increased levels of albuminuria while concerning neuropathic pain.

Prognosis of cerebral lipiodol embolism caused by transarterial chemoembolization.

OBJECTIVES: Transarterial chemoembolization (TACE) plays an essential role in the management of unresectable hepatocellular cell carcinoma and other hepatic neoplasms. Cerebral lipiodol embolism (CLE) is a rare complication of TACE and its prognostic factors have not been well studied. The aim of this paper was to elucidate the prognostic factors of CLE based on clinical data obtained from our patients and cases published since 2004. METHODS: We present two patients with CLE, analyze the clinical data, and review all CLE cases published since 2004. A poor outcome was defined as stupor, coma, quadriplegia, or death within 45 days. Patients who had other neurological conditions within 45 days were considered as having a good outcome. RESULTS: The rate of poor outcome was 25.7% (9/35). Compared with the patients with good outcome, those with poor outcome were older (mean age 68.3 ± 7.3 vs. 58.3 ± 10.6 years, p = 0.03), more often female (76.9% vs. male 33.3%, p = 0.02), and more likely chemoembolized via both the right hepatic and right inferior phrenic arteries (44.4 vs. 8.7%, p = 0.02). DISCUSSION: The prognosis of CLE was related to age, gender, and the arteries selected for injection.