Efficacy and Safety of Alogliptin-Pioglitazone Combination for Type 2 Diabetes Mellitus Poorly Controlled with Metformin: A Multicenter, Double-Blind Randomized Trial.

Background: Guidelines for switching to triple combination therapy directly after monotherapy failure are limited. This study investigated the efficacy, long-term sustainability, and safety of either mono or dual add-on therapy using alogliptin and pioglitazone for patients with type 2 diabetes mellitus (T2DM) who did not achieve their target glycemic range with metformin monotherapy. Methods: The Practical Evidence of Antidiabetic Combination Therapy in Korea (PEAK) was a multicenter, placebo-controlled, double-blind, randomized trial. A total of 214 participants were randomized to receive alogliptin+pioglitazone (Alo+Pio group, n=70), alogliptin (Alo group, n=75), or pioglitazone (Pio group, n=69). The primary outcome was the difference in glycosylated hemoglobin (HbA1c) levels between the three groups at baseline to 24 weeks. For durability, the achievement of HbA1c levels <7% and <6.5% was compared in each group. The number of adverse events was investigated for safety. Results: After 24 weeks of treatment, the change of HbA1c in the Alo+Pio, Alo, and Pio groups were -1.38%±0.08%, -1.03%±0.08%, and -0.84%±0.08%, respectively. The Alo+Pio group had significantly lower HbA1c levels than the other groups (P=0.0063, P<0.0001) and had a higher proportion of patients with target HbA1c achievement. In addition, insulin sensitivity and ß-cell function, lipid profiles, and other metabolic indicators were also improved. There were no significant safety issues in patients treated with triple combination therapy. Conclusion: Early combination triple therapy showed better efficacy and durability than the single add-on (dual) therapy. Therefore, combination therapy with metformin, alogliptin, and pioglitazone is a valuable early treatment option for T2DM poorly controlled with metformin monotherapy.

Automated Detection and Segmentation of Bone Metastases on Spine MRI Using U-Net: A Multicenter Study.

OBJECTIVE: To develop and evaluate a deep learning model for automated segmentation and detection of bone metastasis on spinal MRI. MATERIALS AND METHODS: We included whole spine MRI scans of adult patients with bone metastasis: 662 MRI series from 302 patients (63.5 ± 11.5 years; male:female, 151:151) from three study centers obtained between January 2015 and August 2021 for training and internal testing (random split into 536 and 126 series, respectively) and 49 MRI series from 20 patients (65.9 ± 11.5 years; male:female, 11:9) from another center obtained between January 2018 and August 2020 for external testing. Three sagittal MRI sequences, including non-contrast T1-weighted image (T1), contrast-enhanced T1-weighted Dixon fat-only image (FO), and contrast-enhanced fat-suppressed T1-weighted image (CE), were used. Seven models trained using the 2D and 3D U-Nets were developed with different combinations (T1, FO, CE, T1 + FO, T1 + CE, FO + CE, and T1 + FO + CE). The segmentation performance was evaluated using Dice coefficient, pixel-wise recall, and pixel-wise precision. The detection performance was analyzed using per-lesion sensitivity and a free-response receiver operating characteristic curve. The performance of the model was compared with that of five radiologists using the external test set. RESULTS: The 2D U-Net T1 + CE model exhibited superior segmentation performance in the external test compared to the other models, with a Dice coefficient of 0.699 and pixel-wise recall of 0.653. The T1 + CE model achieved per-lesion sensitivities of 0.828 (497/600) and 0.857 (150/175) for metastases in the internal and external tests, respectively. The radiologists demonstrated a mean per-lesion sensitivity of 0.746 and a mean per-lesion positive predictive value of 0.701 in the external test. CONCLUSION: The deep learning models proposed for automated segmentation and detection of bone metastases on spinal MRI demonstrated high diagnostic performance.

Top Ten Tips Palliative Care Clinicians Should Know About Caring for Filipino American and Korean American Patients.

As of 2019, there are 4.2 million Filipino Americans (FAs) and 1.9 million Korean Americans (KAs) in the United States, largely concentrated in New York, California, Texas, Illinois, and Washington. In both populations, similar to the broader U.S. culture, one can find health literacy gaps around understanding and utilizing palliative care. In this article, we provide 10 cultural pearls to guide clinicians on how to sensitively approach FA and KA groups when addressing palliative and end-of-life (EOL) discussions. We fully celebrate that every person is an individual and care should be tailored to each person's goals, values, and preference. In addition, there are several cultural norms that, when appreciated and celebrated, may help clinicians to improve serious illness care and EOL discussions for members of these populations.

Cerebrospinal fluid flow artifact reduction with deep learning to optimize the evaluation of spinal canal stenosis on spine MRI.

PURPOSE: The aim of study was to employ the Cycle Generative Adversarial Network (CycleGAN) deep learning model to diminish the cerebrospinal fluid (CSF) flow artifacts in cervical spine MRI. We also evaluate the agreement in quantifying spinal canal stenosis. METHODS: For training model, we collected 9633 axial MR image pairs from 399 subjects. Then, additional 104 image pairs from 19 subjects were gathered for the test set. The deep learning model was developed using CycleGAN to reduce CSF flow artifacts, where T2 TSE images served as input, and T2 FFE images, known for fewer CSF flow artifacts. Post training, CycleGAN-generated images were subjected to both quantitative and qualitative evaluations for CSF artifacts. For assessing the agreement of spinal canal stenosis, four raters utilized an additional 104 pairs of original and CycleGAN-generated images, with inter-rater agreement evaluated using a weighted kappa value. RESULTS: CSF flow artifacts were reduced in the CycleGAN-generated images compared to the T2 TSE and FFE images in both quantitative and qualitative analysis. All raters concordantly displayed satisfactory estimation results when assessing spinal canal stenosis using the CycleGAN-generated images with T2 TSE images (kappa = 0.61-0.75) compared to the original FFE with T2 TSE images (kappa = 0.48-0.71). CONCLUSIONS: CycleGAN demonstrated the capability to produce images with diminished CSF flow artifacts. When paired with T2 TSE images, the CycleGAN-generated images allowed for more consistent assessment of spinal canal stenosis and exhibited agreement levels that were comparable to the combination of T2 TSE and FFE images.

The Impact of Mental Practice on Motor Function in Patients With Stroke: A Systematic Review and Meta-analysis.

Mental practice (MP), the cognitive rehearsal of physical activities without overt movements, has recently emerged as a promising rehabilitation method for patients with stroke. This paper presents a systematic review and meta-analysis critically evaluating the existing evidence to offer a comprehensive estimate of the overall effect of MP on motor function in stroke patients. A systematic search of 3 international databases (PubMed, Embase, and the Cochrane Library) was conducted for randomized controlled trials. We finally selected 31 randomized clinical trials and conducted meta-analysis to determine the effectiveness of MP on motor recovery of upper extremity, upper extremity function, activities of daily living, and gait velocity in stroke patients. The results of the systematic reviews showed that MP combined with conventional therapy has a positive impact on improving upper extremity motor function, with a moderate quality of evidence. However, the beneficial effect of MP on gait velocity was not demonstrated. It is recommended to treat with MP in addition to conventional rehabilitation therapy to improve the motor outcome of stroke depending on the patient's condition (Recommendation level: Conditional Recommend Evidence certainty: Moderate).

Current Status of Outpatient Parenteral Antimicrobial Therapy in Korea: Experience of a Single University-Affiliated Acute-Care Hospital.

BACKGROUND: Systematic protocols for the management of outpatient parenteral antimicrobial therapy (OPAT) and information on the current status of a prescription of parenteral antibiotics for outpatients and referred patients are lacking in the Korea. This study aimed to describe the current status of OPAT at a tertiary care hospital in Korea. MATERIALS AND METHODS: This was a retrospective study of outpatients and referral patients who were prescribed parenteral antibiotics from July to December 2019. We reviewed the prescribed antimicrobials, indications for antimicrobial therapy, institution administering the antimicrobial injections, and pre- and post-prescription management. RESULTS: Of the 577 prescriptions assessed in this study, 399 (69.2%) and 178 (30.8%) were delivered using the referral and outpatient models, respectively. About 70% of OPATs were prescribed in the pulmonology, infectious diseases, orthopedics, gastroenterology, and hematology departments. Five antibiotics (ertapenem [26.0%], ceftriaxone [12.8%], kanamycin [11.8%], amikacin [10.1%], and cefazolin [8.5%]) accounted for 69.2% of the total OPATs. Urinary tract (27.3%), respiratory (20.8%), and intra-abdominal (15.9%) infections were the most frequent indications for OPAT. After prescription, there were 295 (73.9%) and 150 (84.3%) follow-up visits in the referral and outpatient models, respectively (P <0.05). Laboratory tests necessary for monitoring were fully performed for 274 (47.5%) prescriptions. CONCLUSION: We found that a significant number of OPATs were prescribed, follow-up visits were not performed in the case of about a quarter of prescriptions, and laboratory monitoring was not fully conducted in more than half of the cases. Therefore, it is necessary to establish an appropriate management program for OPAT. Considering the limited resources and the distribution of OPAT prescriptions, an effective strategy may be to select the frequently-used antibiotics or frequently-prescribing departments and start the program with them.

Role of mass spectrometry-based serum proteomics signatures in predicting clinical outcomes and toxicity in patients with cancer treated with immunotherapy.

Immunotherapy has fundamentally changed the landscape of cancer treatment. However, only a subset of patients respond to immunotherapy, and a significant portion experience immune-related adverse events (irAEs). In addition, the predictive ability of current biomarkers such as programmed death-ligand 1 (PD-L1) remains unreliable and establishing better potential candidate markers is of great importance in selecting patients who would benefit from immunotherapy. Here, we focus on the role of serum-based proteomic tests in predicting the response and toxicity of immunotherapy. Serum proteomic signatures refer to unique patterns of proteins which are associated with immune response in patients with cancer. These protein signatures are derived from patient serum samples based on mass spectrometry and act as biomarkers to predict response to immunotherapy. Using machine learning algorithms, serum proteomic tests were developed through training data sets from advanced non-small cell lung cancer (Host Immune Classifier, Primary Immune Response) and malignant melanoma patients (PerspectIV test). The tests effectively stratified patients into groups with good and poor treatment outcomes independent of PD-L1 expression. Here, we review current evidence in the published literature on three liquid biopsy tests that use biomarkers derived from proteomics and machine learning for use in immuno-oncology. We discuss how these tests may inform patient prognosis as well as guide treatment decisions and predict irAE of immunotherapy. Thus, mass spectrometry-based serum proteomics signatures play an important role in predicting clinical outcomes and toxicity.

Positive Effects on Emotional Stress and Sleep Quality of Forest Healing Program for Exhausted Medical Workers during the COVID-19 Outbreak.

This study targeted medical workers, who are currently being subjected to an excessive workload and emotional stress during the COVID-19 outbreak. Various treatment programs, such as a relaxation program to relieve stress, a walk in the forest, and woodworking were provided to the participants as forest healing therapies. We enrolled 13 medical workers (11 females, 2 males). Before and after forest healing therapy, stress and sleep-related questionnaires and levels of salivary cortisol, dehydroepiandrosterone sulfate (DHEA-S), and melatonin were measured and compared. The improvement of the perceived stress scale and the decrease of DHEA-S, a stress index, showed statistically significant results. However, although this study was conducted with a small number of participants and has a limitation in that the therapy occurred over a short period of only 1 night and 2 days, the trend of supporting results remains positive. As such, the authors propose forest healing therapy as one intervention to relieve the job stress for this group of workers.

Machine learning approach for study on subway passenger flow.

We investigate regional features nearby the subway station using the clustering method called the funFEM and propose a two-step procedure to predict a subway passenger transport flow by incorporating the geographical information from the cluster analysis to functional time series prediction. A massive smart card transaction dataset is used to analyze the daily number of passengers for each station in Seoul Metro. First, we cluster the stations into six categories with respect to their patterns of passenger transport. Then, we forecast the daily number of passengers with respect to each cluster. By comparing our predicted results with the actual number of passengers, we demonstrate the predicted number of passengers based on the clustering results is more accurate in contrast to the result without considering the regional properties. The result from our data-driven approach can be applied to improve the subway service plan and relieve infectious diseases as we can reduce the congestion by controlling train intervals based on the passenger flow. Furthermore, the prediction result can be utilized to plan a 'smart city' which seeks shorter commuting time, comfortable ridership, and environmental sustainability.

Predictive value of the videofluoroscopic swallowing study for long-term mortality in patients with subacute stroke.

ABSTRACT: To investigate the usefulness of the videofluoroscopic swallowing study (VFSS) for subacute stroke in predicting long-term all-cause mortality, including not only simple parameters obtained from VFSS results, but also recommended dietary type as an integrated parameter.This was a retrospective study of patients with subacute (<1 month) stroke at a university hospital between February 2014 and September 2019. The independent risk factors were investigated using stepwise Cox regression analysis, which increased the all-cause mortality of patients with stroke among VFSS parameters.A total of 242 patients with subacute stroke were enrolled. The significant mortality-associated factors were age, history of cancer, recommended dietary type (modified dysphagia diet; adjusted hazard ratio [HR], 6.971; P = .014; tube diet, adjusted HR: 10.169; P = .019), and Modified Barthel Index. In the subgroup survival analysis of the modified dysphagia diet group (n = 173), the parameters for fluid penetration (adjusted HR: 1.911; 95% confidence interval, 1.086-3.363; P = .025) and fluid aspiration (adjusted HR: 2.236; 95% confidence interval, 1.274-3.927; P = .005) were significantly associated with mortality.The recommended dietary type determined after VFSS in subacute stroke was a significant risk factor for all-cause mortality as an integrated parameter for dysphagia. Among the VFSS parameters, fluid penetration and aspiration were important risk factors for all-cause mortality in patients with moderate dysphagia after stroke. Therefore, it is important to classify the degree of dysphagia by performing the VFSS test in the subacute period of stroke and to determine the appropriate diet and rehabilitation intervention for mortality-related prognosis.

Comparison of training effects between underwater treadmill gait training and overground gait training on the walking ability and respiratory function in patients with chronic severe hemiplegic stroke: A randomized, controlled, preliminary trial.

BACKGROUND: The need to develop a more effective intervention to obtain a functional recovery of stroke patients who are unable to perform land-based treadmill gait training has been widely reported. Thus, this pilot study aimed to identify a gait training type that could lead to improved gait and respiratory functioning in adult patients with chronic severe hemiplegic stroke. OBJECTIVES: To examine whether underwater treadmill or/and overground gait training could be more effective in stroke patients. METHODS: In this single-blinded, randomized, controlled, comparative study, 22 patients with severe hemiplegic stroke in a rehabilitation hospital were randomly assigned to the experimental (underwater treadmill gait training) or control group (overground gait training). All participants performed a 60-min neurodevelopmental treatment (five times/week for 12 weeks). Each group performed 30-min underwater or overground gait training (two times/week for 12 weeks). Gait and respiratory function were measured before and after the 12-week training. RESULTS: For the walking variables, step-time difference changes post-training showed significant differences between the groups (-.06 vs. +.04 s, p < .05). Both groups showed significant increases in the maximal voluntary volume (MVV) at post compared to pre training (p < .05). The post-training MVV values were significantly different between the two groups (+23.35 vs. +4.76 L, p < .05). CONCLUSIONS: In severe stroke patients, underwater treadmill gait training can be more effective in improving gait and respiratory function than overground gait training and could be an effective clinical intervention tool for the training of such patients.

Comparison of the Clinical Process and Outcomes in Patients after Coronavirus Infection 2019 Outbreak.

Background and Objectives: The coronavirus infection 2019 (COVID-19) pandemic has affected emergency department (ED) management. Its viral transmission necessitates the use of isolation rooms and personal protective equipment for treating suspected patients, such as those with fever. This delays the time until the first encounter with the patients, thereby increasing the length of stay (LOS) in the ED. We aimed to compare delays in the ED LOS and clinical processes between the COVID-19 period and pre-COVID-19 period. Moreover, we intended to evaluate if the aforementioned delay affected patient outcomes. Materials and Methods: We conducted a single-center, retrospective study in Korea. Patients with fever were compared between the "COVID-19 period" from March 2020 to August 2020 and the "pre-COVID-19 period" from March 2019 to September 2019. We compared the overall ED LOS and individual time variable, including initial diagnostic tests (laboratory tests, radiography), specific diagnostic test (computed tomography), and treatment processes (antibiotics). A logistic regression analysis was conducted to identify the association between hospital admission and patient data. Results: We enrolled 931 and 749 patients during pre- and COVID-19 periods, respectively. Patients with fever remained in the ED for a longer duration during the COVID-19 period (pre-COVID-19:207.7 ± 102.7 min vs. during COVID-19: 223.5 ± 119.4 min, p = 0.004). The total time for performing laboratory tests and radiography displayed significant differences between the two periods, particularly from the time of patient arrival in the ED to the time of issuing the order. The time until antibiotic administration was delayed in the COVID-19 period (pre-COVID-19:195.8 ± 103.3 min vs. during COVID-19: 216.9 ± 108.4 min, p = 0.003). The logistic regression analysis for hospital admission identified ED LOS as an independent factor in both periods. Conclusions: The delay until encountering patients with fever resulted in longer ED LOS during the COVID-19 period; however, it possibly did not increase the hospital admission rates.

Shoulder pain in a patient with renal cell carcinoma? Suprascapular neuropathy caused by bone metastasis of renal cell carcinoma: A case report.

BACKGROUND: Pain management is crucial in palliative care for patients with advanced cancer. Here, we report a case of shoulder pain in a patient with renal cell carcinoma. CASE PRESENTATION: A 36-year-old male diagnosed metastatic renal cell carcinoma presented with pain and weakness on left shoulder for more than 6 months. Physical examination showed limited range of motion and atrophic changes on supraspinatus and infraspinatus muscles. Weakness in shoulder abduction and external rotation was also noted. POSSIBLE COURSES OF ACTION: In this case, suprascapular neuropathy, adhesive capsulitis of shoulder and metastatic lesions involving shoulder joint were suspected. FORMULATION OF A PLAN: We planned imaging studies including X-ray, bone scan, magnetic resonance imaging, and electrodiagnostic studies. OUTCOME: Imaging and electrodiagnostic studies showed suprascapular neuropathy by bone metastasis. Conservative treatment including injection and rehabilitation therapy reduced the patient's pain and improved the range of motion limitation. LESSONS FROM THE CASE: Clinicians should be aware that bone metastasis in patients with advanced cancer can cause suprascapular neuropathy, shoulder pain and shoulder dysfunction. VIEW ON RESEARCH PROBLEMS, OBJECTIVES, OR QUESTIONS GENERATED BY THE CASE: More research is expected on development of an early surveillance model, barriers to cancer pain management, communication from patients' perspectives.

Postoperative morbidity and quality of life between totally laparoscopic total gastrectomy and laparoscopy-assisted total gastrectomy: a propensity-score matched analysis.

BACKGROUND: This study aimed to evaluate the surgical outcome and quality of life (QoL) of totally laparoscopic total gastrectomy (TLTG) compared with laparoscopy-assisted total gastrectomy (LATG) in patients with clinical stage I gastric cancer. METHODS: From 2012 to 2018, EGC patients who underwent TLTG (n = 223), including the first case with intracorporeal hemi-double stapling, were matched to those who underwent LATG (n = 114) with extracorporeal circular stapling, using 2:1 propensity score matching (PSM). Prospectively collected morbidity was compared between the TLTG and LATG groups in conjunction with the learning curve. The European Organization for Research and Treatment of Cancer (EORTC) QoL questionnaires QLQ-C30, STO22, and OG25 were prospectively surveyed during postoperative 1 year for patient subgroups. RESULTS: After PSM, grade I pulmonary complication rate was lower in the TLTG group (n = 213) than in the LATG group (n = 111) (0.5% vs. 5.4%, P = 0.007). Other complications were not different between the groups. The learning curve of TLTG was overcome at the 26th case in terms of the comprehensive complication index. The TLTG group after learning curve showed lower grade I pulmonary complication rate than the matched LATG group (0.5% vs. 4.7%, P = 0.024). Regarding postoperative QoL, the TLTG group (n = 63) revealed less dysphagia (P = 0.028), pain (P = 0.028), eating restriction (P = 0.006), eating (P = 0.004), odynophagia (P = 0.023) than the LATG group (n = 21). Multivariate analyses for each QoL item demonstrated that TLTG was the only common independent factor for better QoL. CONCLUSIONS: TLTG reduced grade I pulmonary complications and provided better QoL in dysphagia, pain, eating, odynophagia than LATG for patients with clinical stage I gastric cancer.

Anti-Obesity Effect of Erigeron annuus (L.) Pers. Extract Containing Phenolic Acids.

Erigeron annuus (L.) Pers. water extract (EAW) was investigated for its anti-obesity effects in C57BL/6J mice on a high-fat diet. Mice were divided into groups fed normal and high-fat diets (ND and HFD, respectively), and HFD mice were treated with EAW (50, 100, and 200 mg/kg/day) for 8 weeks. Inhibition of HFD-induced obesity by EAW was evaluated using biochemical parameters, immunohistochemistry, real-time PCR, and immunoblot assay. EAW supplementation significantly diminished the final body weight, adipose tissue size, and epididymal adipose tissue volume compared with mice with obesity induced by HFD (p < 0.05 for all). EAW also decreased serum triglyceride (TG) and LDL-cholesterol (LDL-c) levels in obese mice. EAW attenuated HFD-induced obesity by down-regulating C/EBPα, PPARγ, and SREBP-1c to suppress adipogenesis. Moreover, this study indicated that EAW activates the AMPK pathway and increases ACC phosphorylation and downstream CPT1 expression in HFD-induced obese mice. Furthermore, several phenolic acids with anti-obesity properties have been identified in EAW, including quinic acid, caffeic acid, chlorogenic acid, and 3,4-dicaffeoylquinic acid. Based on these data, EAW has anti-obesity effects in vivo, which indicates that it is an excellent candidate for the development of anti-obesity functional foods.

Spinal nerve signal intensity on Dixon T2-weighted water-only sequence: an important outcome predictor after lumbar transforaminal epidural injection.

OBJECTIVES: To evaluate the role of Dixon T2-weighted water-fat separation technique in predicting the outcome of lumbar transforaminal epidural injections (TFESIs). METHODS: Patients who underwent TFESI of a single spinal nerve within 3 months after magnetic resonance imaging (MRI) exam between August 2018 and April 2020 were identified. The patients were classified into positive or negative outcome groups based on the response to the TFESI procedure. Two musculoskeletal radiologists measured the signal intensity of the injected side spinal nerves, contralateral side spinal nerves, and subcutaneous fat on axial Dixon T2-weighted water-only images, and the diameter of spinal nerve on axial Dixon T2-weighted in-phase images of the pre-procedural MRI. The measured values of the injected side spinal nerves were compared between the two groups and with the contralateral side spinal nerve. RESULTS: A total of 94 patients were included, 76 in the positive outcome group and 18 in the negative outcome group. The mean signal intensity and the nerve-to-fat signal ratio of the injected side spinal nerve were significantly higher in the positive outcome group than in the negative outcome group (793.78 vs. 679.19, p = 0.016; 4.21 vs. 3.28, p = 0.003). In the positive outcome group, the diameter of the spinal nerve was significantly higher on the injected side than on the contralateral side (6.91 mm vs. 6.37 mm, p = 0.016). CONCLUSIONS: The mean signal intensity and the nerve-to-fat signal ratio of the spinal nerve on axial Dixon T2-weighted water-only images can help predict patient response to the TFESI. KEY POINTS: • Applying the Dixon technique to lumbar spine MRI can help predict patient response to the TFESI procedure. • An increased nerve-to-fat signal ratio and mean spinal nerve signal intensity on axial Dixon T2-weighted water-only images predicted favorable TFESI outcomes.

Long-term analgesic effects of peripheral nerve block in patients with central post-stroke pain: A retrospective series.

BACKGROUND: Central post-stroke pain (CPSP) has a detrimental effect on the quality of life of post-stroke patients. However, no definitive and effective method has been established yet for the treatment of CPSP. OBJECTIVE: We aimed to examine the applicability of single-injection peripheral nerve blocks (PNBs) for the treatment of CPSP. SUBJECTS: In this retrospective study, we included 22 patients (mean age = 56.3 years; 13 men and 9 women) diagnosed with CPSP who visited an outpatient rehabilitation clinic in Seoul National University Bundang Hospital between December 2018 and April 2020. METHODS: The patients underwent ultrasound-guided single-injection PNB (lidocaine + epinephrine [1: 200,000]) according to the primary site of pain. The level of pain (measured using a numeric rating scale) was recorded before and after the PNB, and the occurrence of adverse events were also measured. The primary outcome of this study was the amount of pain reduction after PNB. Secondary outcome measures obtained 1 month after the PNB included the pain reduction rate 1 month after the PNB, the patient-reported satisfaction and effectiveness regarding the PNB, intention for re-injection, and the patients' willingness to recommend this procedure to others. RESULTS: The mean pain reduction after PNB was 3.3 ± 2.8. PNB was associated with pain reduction that persisted for greater than 1 month in 68% (15/22) of the patients. Thirteen of 22 patients reported a pain reduction of 50% or more. The mean pain reduction rate was 43.6%. Of the 22 patients, 13 were willing to undergo a second round of treatment with PNB. Nine of them underwent the procedure. No adverse events were observed in this study. CONCLUSIONS: Our study provides preliminary data suggesting that PNB could be an effective and feasible method to treat CPSP.

Pelvic Belt Wearing during Exercise Improves Balance of Patients with Stroke: A Randomized, Controlled, Preliminary Trial.

OBJECTIVES: To investigate whether wearing a pelvic belt during a trunk stability exercise program positively affects balance in patients with stroke. MATERIALS AND METHODS: Twenty-four patients with stroke were randomly allocated to the experimental or control group and performed a 60-min general physical therapy and an additional 30-min trunk stability exercise (five times/week for 6 weeks). Those in the experimental and control groups performed the trunk stability exercises with and without wearing the pelvic belt, respectively. RESULTS: The experimental group showed a significantly greater magnitude of improvements in balance than the control group (Postural Assessment Scale for Stroke: +18.3%, F (1, 22)=14.350, p=.001, η2=.395; Berg Balance Scale: +11%, F (1, 22)=19.062, p=.000, η2=.464; Timed Up and Go Test: -10.5%, F (1, 22)=8.562, p=.008, η2=.280; center of pressure path length with eyes open: -15.1%, F (1, 22)=6.770, p=.016, η2=.235; center of pressure path length with eyes closed: -19.5%, F (1, 22)=9.256, p=.006, η2=.296; center of pressure path velocity with eyes open: -22.6%, F (1, 22)=37.747, p=.000, η2=.632; center of pressure path velocity with eyes closed: -13.9%, F (1, 22)=6.511, p=.018, η2=.228, respectively). CONCLUSIONS: Wearing a pelvic belt while performing trunk stability exercise programs could be a more effective approach for improving balance in patients with stroke.

Decreased Maximal Tongue Protrusion Length May Predict the Presence of Dysphagia in Stroke Patients.

OBJECTIVE: To investigate the relationship between maximal tongue protrusion length (MTPL) and dysphagia in post-stroke patients. METHODS: Free tongue length (FTL) was measured using the quick tongue-tie assessment tool and MTPL was measured using a transparent plastic ruler in 47 post-stroke patients. The MTPL-to-FTL (RMF) ratio was calculated. Swallowing function in all patients was evaluated via videofluoroscopic swallowing study (VFSS), PenetrationAspiration Scale (PAS), Functional Oral Intake Scale (FOIS), and Videofluoroscopic Dysphagia Scale (VDS). RESULTS: The MTPL and RMF values were significantly higher in the non-aspirator group than in the aspirator group (MTPL, p=0.0049; RMF, p<0.001). MTPL and RMF showed significant correlations with PAS, FOIS and VDS scores. The cut-off value in RMF for the prediction of aspiration was 1.56, with a sensitivity of 84% and a specificity of 86%. CONCLUSION: There is a relationship between MTPL and dysphagia in post-stroke patients. MTPL and RMF can be useful for detecting aspiration in post-stroke patients.