The Necessity of the Simple Tests for Diabetic Peripheral Neuropathy in Type 2 Diabetes Mellitus Patients without Neuropathic Symptoms in Clinical Practice

Risk factors associated with overactive bladder severity in patients with type 2 diabetes

BACKGROUND

The prevalence of overactive bladder (OAB) is known to be higher in patients with type 2 diabetes (T2DM) however there are not many studies about specific risk factors contributing to its progression among diabetes mellitus (DM) patients, so this study aimed to investigate the risk factors specific to DM that influence the progression of OAB in Syrian population.

METHODS

This cross-sectional study was carried out at five endocrinology centers situated in four Syrian provinces: Damascus, Aleppo, Homs, Hama, and Latakia. The study comprised patients who were diagnosed with both T2DM and OAB and had visited these centers from March 2020 and February 2024. The Arabic version of the OAB Symptom Score (OABSS) scale was used to categorize the participants based on the severity score into two groups: the mild OAB group and the moderate-severe OAB group. A logistic analysis was conducted to assess the risk factors associated with the progression of OAB among patients with diabetes.

RESULT

Among the 186 patients diagnosed with both DM and OAB, significant distinctions were found between the two groups concerning the severity of OAB, age, duration of diabetes, symptomatic diabetic peripheral neuropathy (DPN), and ankle reflex (p < 0.05). Furthermore, a multivariate analysis revealed that age (odds ratio [OR] 1.07, 95% confidence interval [CI] 0.68-1.58), duration of diabetes (OR 2.14, 95% CI 1.75-3.74), and symptomatic DPN (OR 2.47, 95% CI 1.17-3.54) independently acted as risk factors for the advancement of OAB.

CONCLUSION

The progression of OAB in Syrian patients with diabetes is closely associated with the severity of DM. Factors such as age, duration of diabetes, and symptomatic DPN are independent predictors of the severity of OAB. Patients who experience symptomatic DPN are at an increased risk of developing OAB.

Risk factors associated with the severity of overactive bladder among Syrian patients with type 2 diabetes

The prevalence of overactive bladder (OAB) is known to be higher in patients with type 2 diabetes (T2DM). However, few studies have examined specific risk factors contributing to its progression among diabetes mellitus (DM) patients, so this study aimed to investigate the risk factors specific to diabetes mellitus that influence overactive bladder in the Syrian population. This cross-sectional study was conducted at four endocrinology centers in four Syrian provinces: Damascus, Aleppo, Homs, Hama, and Latakia. The study was comprised of patients who had been diagnosed with both T2DM and OAB and had visited these centers from February 2020 to January 2023. The Arabic version of the Overactive Bladder Symptom Score (OABSS) scale was used to categorize the participants based on the severity score into two groups: the mild OAB group and the moderate-severe OAB group. A logistic analysis was conducted to assess the risk factors associated with the OAB among patients with diabetes. Among the 153 patients diagnosed with both DM and OAB, significant distinctions were found between the two groups concerning the severity of overactive bladder, age, duration of diabetes, symptomatic diabetic peripheral neuropathy (DPN), and ankle reflex (P < 0.05). Furthermore, a multivariate analysis revealed that age (OR 1.48, 95% CI 0.89-2.19), duration of diabetes (OR 1.94, 95% CI 0.53-2.23), and symptomatic DPN (OR 2.74, 95% CI 1.39-4.13) independently acted as risk factors for the advancement of OAB. The severity of OAB in Syrian patients with diabetes is closely associated with the severity of DM. Factors such as age, duration of diabetes, and symptomatic DPN are independent predictors of the severity of OAB. Patients who experience symptomatic DPN are at an increased risk of developing OAB.

Undiagnosed and Untreated Peripheral Complications of Diabetes: Findings from a Pilot Study on Diabetes-Related Foot Diseases (DFD) in Patients with Glycemic Disorders

BACKGROUND Diabetes-related foot disease (DFD) is a serious complication of diabetes, increasing the risk of amputation. Coimplications are preventable, but most diabetics do not receive proper screening and treatment, despite indications. This study was a pilot screening of diabetes-related foot disease in a group of people with glycemic disorders. MATERIAL AND METHODS We recruited 143 volunteers over 40 years of age. In the final analysis, we included 85 people diagnosed with glycemic disorders (diabetes or prediabetes), for whom we performed a total of 170 foot measurements. We screened for peripheral artery disease using: foot pulse, ankle-brachial index (manual and automatic), toe-brachial index, and transcutaneous oxygen pressure (TcPO2). To screen for diabetic peripheral neuropathy, we used indicators of loss of protective sensation: pressure perception and temperature perception, and plantar pressure distribution. RESULTS A history of diabetes was reported by 26 (30.6%) of the subjects. Disorders of at least 1 foot occurred in 20 (66.7%) subjects with diagnosed diabetes and in 10 (17%) subjects declaring no diabetes. Higher risk and DFD category were correlated with duration of diabetes (r=0.68, p=0.007), glycemic levels (r=0.56, p=0.001), age (r=0.57, p=0.007), and the presence of other diabetes complications. The best predictor of risk in DFD was manual ABI, p=0.001; followed by automatic ABI, p=0.006. CONCLUSIONS Our results showed that peripheral complications of diabetes, such as DFD, often remain undiagnosed and untreated despite the high risk of developing ulcers. There is a need for multi-center screening studies.

Novel therapeutical approaches based on neurobiological and genetic strategies for diabetic polyneuropathy - A review

BACKGROUND

Neuropathy is among the most often reported consequences of diabetes and the biggest cause of morbidity and mortality in people suffering from this life-long disease. Although different therapeutic methods are available for diabetic neuropathy, it is still the leading cause of limb amputations, and it significantly decreases patients' quality of life.

AIM

This study investigates potential novel therapeutic options that could ameliorate symptoms of DN.

METHODOLOGY

Research and review papers from the last 10 years were taken into consideration.

RESULTS

There are various traditional drugs and non-pharmacological methods used to treat this health condition. However, the research in the area of pathogenic-oriented drugs in the treatment of DN showed no recent breakthroughs, mostly due to the limited evidence about their effectiveness and safety obtained through clinical trials. Consequently, there is an urgent demand for the development of novel therapeutic options for diabetic neuropathy.

CONCLUSION

Some of the latest novel diagnostic methods for diagnosing diabetic neuropathy are discussed as well as the new therapeutic approaches, such as the fusion of neuronal cells with stem cells, targeting gene delivery and novel drugs.

Effect of Diabetic Neuropathy on Reparative Ability and Immune Response System

The effects of diabetes can be divided into short, medium and long term and various human organ systems can be effected. The present study aimed to determine how much the duration of diabetes mellitus (DM) affect the reparative ability of the body, immune response and the development of DM complications. Interleukin 1-β (IL-1β) and Interleukin 6 (IL-6) were monitored as specific indicators of inflammatory reaction and C-reactive protein (CRP), leukocyte count (WBC) and sedimentation rate (ESR) as general markers of inflammatory reaction. Tumour necrosis factor α (TNF-α) and transforming growth factor β1 (TGF-β1) were observed as indicators of reparative ability and polyneuropathy. All interleukins were determined by ELISA and evaluated spectrophotometrically. Michigan Neuropathy Screening Instrument (MNSI) is performed for neuropathy examination. Patients with diabetes mellitus were divided into 3 groups, according to duration of diabetes mellitus. IL-6 levels correlated with clinical stage of diabetic polyneuropathy at p = 0.025 R = 0.402; with CRP at p = 0.0001, R = 0.784 as well as correlation of CRP and MNSI score (R = 0.500, p = 0.034) in a group of patients with DM lasting up to 10 years. The reparative ability of the body is reduced by physiological age and ages of DM duration. The immune response is weakened in DM additionally. The dual activity of cytokines IL-6 and TGF-β1 is present in long-duration Diabetes Mellitus.

A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument

Diabetic sensorimotor polyneuropathy (DSPN) is a serious long-term complication of diabetes, which may lead to foot ulceration and amputation. Among the screening tools for DSPN, the Michigan neuropathy screening instrument (MNSI) is frequently deployed, but it lacks a straightforward rating of severity. A DSPN severity grading system has been built and simulated for the MNSI, utilizing longitudinal data captured over 19 years from the Epidemiology of Diabetes Interventions and Complications (EDIC) trial. Machine learning algorithms were used to establish the MNSI factors and patient outcomes to characterise the features with the best ability to detect DSPN severity. A nomogram based on multivariable logistic regression was designed, developed and validated. The extra tree model was applied to identify the top seven ranked MNSI features that identified DSPN, namely vibration perception (R), 10-gm filament, previous diabetic neuropathy, vibration perception (L), presence of callus, deformities and fissure. The nomogram's area under the curve (AUC) was 0.9421 and 0.946 for the internal and external datasets, respectively. The probability of DSPN was predicted from the nomogram and a DSPN severity grading system for MNSI was created using the probability score. An independent dataset was used to validate the model's performance. The patients were divided into four different severity levels, i.e., absent, mild, moderate, and severe, with cut-off values of 10.50, 12.70 and 15.00 for a DSPN probability of less than 50, 75 and 100%, respectively. We provide an easy-to-use, straightforward and reproducible approach to determine prognosis in patients with DSPN.

Effectiveness of Semmes Weinstein 10 gm monofilament in diabetic peripheral neuropathy taking nerve conduction and autonomic function study as reference tests

Context

Diabetic peripheral neuropathy (DPN) if detected early can reduce the burden on the health system and prevent the development of diabetic foot ulcers and amputation.

Aim

To study the effectiveness of Semmes Weinstein 10 gm monofilament in detecting DPN taking nerve conduction studies (NCS) and autonomic function testing (AFT) as reference tests.

Settings and Design

Observational and comparative cross-sectional study conducted in the Physiology department AIIMS, Bhopal in collaboration with the Medicine department of the institute.

Methods and Material

A total of 72 diagnosed type-2 diabetes mellitus patients were examined using Semmes Weinstein 10 gm monofilament, DPN was confirmed using NCS (Nihon Kohden Neuropack XI machine) and autonomic neuropathy was confirmed using AFT (Ewing's battery and Power lab) with heart rate variability (HRV). Diagnostic value of Semmes Weinstein 10 gm monofilament taking NCS and AFT as reference test was calculated.

Statistical Analysis Used

Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) were calculated using the standard formula.

Results

Sensitivity, specificity, PPV, and NPV using monofilament are 69.23%, 20%, 69.23% and 20% respectively taking NCS as reference test and 70.59%, 0, 92.30%, and 0 respectively taking AFT as reference test.

Conclusions

Semmes Weinstein 10 gm monofilament is not the ideal screening test for the diagnosis of DPN. Sole clinical use of monofilament should be discouraged.

SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy

BACKGROUND

Screening for diabetic peripheral neuropathy (DPN) is important to prevent severe foot complication, but the detection rate of DPN is unsatisfactory. We investigated whether SUDOSCAN combined with Michigan Neuropathy Screening Instrument (MNSI) could be an effective tool for screening for DPN in people with type 2 diabetes mellitus (T2DM) in clinical practice.

METHODS

We analysed the data for 144 people with T2DM without other cause of neuropathy. The presence of DPN was confirmed according to the Toronto Consensus criteria. Electrochemical skin conductance (ESC) of the feet was assessed using SUDOSCAN. We compared the discrimination power of following methods, MNSI only vs. SUDOSCAN only vs. MNSI plus SUDOSCAN vs. MNSI plus 10-g monofilament test.

RESULTS

Confirmed DPN was detected in 27.8% of the participants. The optimal cut-off value of feet ESC to distinguish DPN was 56 μS. We made the DPN screening scores using the corresponding odds ratios for MNSI-Questionnaire, MNSI-Physical Examination, SUDOSCAN, and 10-g monofilament test. For distinguishing the presence of DPN, the MNSI plus SUDOSCAN model showed higher areas under the receiver operating characteristic curve (AUC) than MNSI only model (0.717 vs. 0.638, P=0.011), and SUDOSCAN only model or MNSI plus 10-g monofilament test showed comparable AUC with MNSI only model.

CONCLUSION

The screening model for DPN that includes both MNSI and SUDOSCAN can detect DPN with acceptable discrimination power and it may be useful in Korean patients with T2DM.

Detection of diabetic polyneuropathy in a family medicine clinic by using monofilament

Background/Aim. Diabetic polyneuropathy (DPN) is the most common microvascular complication of diabetes mellitus (DM), which may be present at the time of disease detection. Screening for DPN is performed for the patients with type 2 diabetes at the time of diagnosis and for type 1 diabetes 5 years after diagnosis. The primary aim of this study was to determine the prevalence of DNP among family medicine patients with DM aged 18 to 70 years using nylon monofilament. Methods. The cross-sectional study estimated the prevalence of DPN among primary care patients with DM in Banja Luka, Republic of Srpska, Bosnia and Herzegovina. Semmes-Weinstein nylon 10 g monofilament was used to detect DPN. Age, gender, duration of DM, type of therapy, symptoms, glycosylated hemoglobin (HbA1c), and risk factors (hypertension, smoking, dyslipidemia, obesity, physical inactivity) were analyzed. Data collection took place from June 1st, 2017 to May 31st, 2018. Results. The study included 228 patients, 132 (57.9%) men and 96 (42.1%) women. There was a statistically significant difference in the presence of all symptoms of DPN (tingling, burning, light burning, and stinging) among patients with different duration of DM (p < 0.01). Multivariate logistic regression revealed that patients who had hypertension [odds ratio (OR) = 26.2; 95% confidence interval (CI): 4.070?168.488; p = 0.001], used oral anti-diabetic therapy (OR = 12.3; 95% CI: 1.300?116.309; p = 0.029), had tingling (OR = 5.2; 95% CI: 1.431?18.571; p = 0.012) and a longer duration of diabetes (OR = 4.27; 95% CI: 1.983?9.175; p = 0.000) were more likely to have DPN. Conclusion. The prevalence of DPN in family medicine patients with DM using nylon monofilament was 24.2%. Determinants of DNP were the presence of symptoms of tingling, duration of diabetes, hypertension, and the use of oral antidiabetic therapy alone.

A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations

BACKGROUND

Diabetic Sensorimotor polyneuropathy (DSPN) is one of the major indelible complications in diabetic patients. Michigan neuropathy screening instrumentation (MNSI) is one of the most common screening techniques used for DSPN, however, it does not provide any direct severity grading system.

METHOD

For designing and modeling the DSPN severity grading systems for MNSI, 19 years of data from Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trials were used. Different Machine learning-based feature ranking techniques were investigated to identify the important MNSI features associated with DSPN diagnosis. A multivariable logistic regression-based nomogram was generated and validated for DSPN severity grading using the best performing top-ranked MNSI features.

RESULTS

Top-10 ranked features from MNSI features: Appearance of Feet (R), Ankle Reflexes (R), Vibration perception (L), Vibration perception (R), Appearance of Feet (L), 10-gm filament (L), Ankle Reflexes (L), 10-gm filament (R), Bed Cover Touch, and Ulceration (R) were identified as important features for identifying DSPN by Multi-Tree Extreme Gradient Boost model. The nomogram-based prediction model exhibited an accuracy of 97.95% and 98.84% for the EDIC test set and an independent test set, respectively. A DSPN severity score technique was generated for MNSI from the DSPN severity prediction model. DSPN patients were stratified into four severity levels: absent, mild, moderate, and severe using the cut-off values of 17.6, 19.1, 20.5 for the DSPN probability less than 50%, 75%-90%, and above 90%, respectively.

CONCLUSIONS

The findings of this work provide a machine learning-based MNSI severity grading system which has the potential to be used as a secondary decision support system by health professionals in clinical applications and large clinical trials to identify high-risk DSPN patients.

Association between Sleep Quality and Painless Diabetic Peripheral Neuropathy Assessed by Current Perception Threshold in Type 2 Diabetes Mellitus

BACKGROUND

It is known that the painful sensation of diabetic peripheral neuropathy (DPN) results in sleep problems in type 2 diabetes mellitus (T2DM). However, it is not known that the painless DPN also is associated with poor sleep quality in T2DM. The purpose of the current study was to investigate the association between painless DPN and poor sleep quality in T2DM.

METHODS

A total of 146 patients of T2DM who do not have any painful symptoms of DPN were recruited into the study. Among the patients, painless DPN was diagnosed by using the current perception threshold test. Sleep quality was assessed using the Pittsburgh Sleep Quality Index questionnaire.

RESULTS

The percentage of painless DPN was significantly higher in the poor sleep quality group than the good sleep quality group (70.0% vs. 35.5%, P<0.001). In the subscale results, stimulus values at 2,000 Hz, hypoesthesia and hyperesthesia were more common in the poor sleep quality group than in the good sleep quality group (45.7% vs. 25.0%, P=0.009; 34.3% vs. 18.4%, P=0.029; 40.0% vs. 19.7%, P=0.007, respectively). The association of painless DPN and poor sleep quality remained significant after adjustment for significant covariates (odds ratio, 3.825; 95% confidence interval, 1.674 to 8.742; P<0.001).

CONCLUSION

The current study showed that painless DPN was associated with poor sleep quality. Future studies are required to clarify the pathophysiologic causal relationship between painless DPN and sleep quality.

Diabetic peripheral neuropathy: Person-centered care

ABSTRACT

Patients with diabetes mellitus may experience painful and nonpainful diabetic peripheral neuropathy (DPN). This article offers an overview of DPN and the clinical assessment and management of patients with DPN, as well as the nurse's role in supporting these patients.

Risk factors associated with the progression of overactive bladder among patients with type 2 diabetes

AIM

To investigate the risk factors specific to diabetes mellitus that influence the progression of overactive bladder in Chinese population.

METHODS

A total of 457 patients who were diagnosed with overactive bladder and diabetes mellitus at the Department of Endocrinology and Urinary Surgery Center of Zhejiang University Jinhua Hospital were enrolled from July 2015 to July 2018. Patients were assessed using a questionnaire and then divided into two groups according to the severity score: mild overactive bladder group and the moderate-severe overactive bladder group. Logistic analysis was performed to evaluate the risk factors associated with the progression of overactive bladder in diabetic patients.

RESULT

Among the 457 patients with diabetes mellitus and overactive bladder, there was a significant difference in the severity of overactive bladder, age, diabetes duration, symptomatic diabetic peripheral neuropathy as well as ankle reflex (P < .05) between the two groups. Moreover, multivariate analysis revealed that age (OR: 1.59, P = .036), duration of diabetes (OR: 1.41, P = .049) and symptomatic diabetic peripheral neuropathy (OR: 2.39, P = .012) were independent risk factors for the progression of overactive bladder.

CONCLUSION

In Chinese diabetic patients, overactive bladder progression is closely related with the severity of diabetes mellitus. Age, diabetic duration and symptomatic diabetic peripheral neuropathy are independent predictors of the severity of overactive bladder. Patients with symptomatic diabetic peripheral neuropathy are at risk of overactive bladder.