Medical Center Research Articles

A Comprehensive Review and Evaluation of Duchenne Muscular Dystrophy (DMD) in a Specific Medical Center: Neurological and Cardiac Implications with a Focus on Retrospective Analysis of 16 Cases

Purpose: The study aimed to investigate the effectiveness of various diagnostic and treatment strategies for Duchenne Muscular Dystrophy (DMD) in a cohort of 16 patients, focusing on their long-term outcomes. Material and Methods: A retrospective analysis was conducted using SPSS tools, including descriptive statistics, correlation analysis, and regression analysis. The study explored the relationship between initial diagnostic findings (CK levels, genetic mutations, ECHO, ECG) and patient outcomes, such as mobility and cardiac health. Findings: The study's findings revealed significant outcomes in the management of Duchenne Muscular Dystrophy (DMD). Notably, 85% of patients treated with corticosteroids experienced a 60% improvement in mobility, while 50% of those receiving physiotherapy were able to maintain ambulation. Regarding cardiac health, the mean age of onset for cardiomyopathy was 12.5 years, with a prevalence rate of 25%, which is lower than in previous studies, suggesting that earlier and more effective interventions were implemented in this cohort. Additionally, the study found that higher CK levels and specific genetic mutations were predictive of more severe disease progression. A comparative analysis with prior research indicated lower rates of wheelchair dependency and cardiomyopathy in this cohort, potentially due to differences in patient demographics and treatment protocols. Implications to Theory, Practice and Policy: This study supports the use of a multidisciplinary approach in DMD management, incorporating early diagnosis, personalized treatment plans, and innovative therapies such as plasmapheresis and gene therapy. It contributes new insights into optimizing care strategies for DMD and underscores the need for further research to validate these findings and explore new treatment avenues.

Clinical Characteristics and Outcomes of Tympanomastoid Paragangliomas: A Report from Slovenia

(1) Background: Head and neck paragangliomas are neuroendocrine tumors that typically originate from the parasympathetic nervous system and are predominantly non-secretory. Their clinical manifestations result from their mass effect on the surrounding tissues. The approach to treating these tumors depends on factors such as their location, size, impact on adjacent structures, and the patient’s overall health and preferences. (2) Methods: A retrospective analysis of the management of temporal bone paraganglioma classes A and B (according to the modified Fisch classification) was performed at the University Medical Centre, Ljubljana, between 2011 and 2023. (3) Results: We analyzed 23 cases, 19 of which underwent surgery; complete tumor removal was achieved in 18 of them. Four patients were irradiated due to tumor progression to class C. Three of these four patients initially refused surgery and were treated with radiotherapy (RT) 7, 13, and 18 years after diagnosis. In the fourth patient, complete surgical resection was not achieved and she was treated with RT four years after surgery, due to the growth of the tumor to class C. The average follow-up time from diagnosis was 8.9 years (median 6 years; range 1–26 years). (4) Conclusions: The surgical treatment of patients with class A and B paragangliomas is effective and safe. In cases where surgery is refused but the tumor continues to grow to class C, RT is an alternative and efficient method of controlling tumor growth.

Exploring Veterans' Experiences Accessing Chronic Pain Treatment in the VA Community Care Network.

Chronic pain is common among Veterans, and rural Veterans commonly struggle obtaining chronic pain care due to large travel distances to the nearest Veterans Affairs (VA) medical center. In 2019, the VA established the Community Care Network (CCN) to provide Veterans access to care in community-based settings, including chronic pain management. To explore the experiences of rural Veterans receiving chronic pain treatment in the VA CCN, including their perceptions about perceived barriers, facilitators, and benefits to accessing comprehensive chronic pain management. Qualitative study using semi-structured interviews. Ten rural Veterans receiving chronic pain management in the VA CCN took part in a qualitative interview focused on their experiences accessing and utilizing the VA CCN. A descriptive qualitative approach was used. Major themes were identified through thematic content analysis. Veterans described challenges navigating the approval process, finding approved CCN providers for pain management, and they perceived that communication between the VA and community providers was not seamless. Once enrolled in the CCN, however, Veterans valued the freedom to choose providers specializing in pain management within their local communities, timely access to appointments, and opportunities to explore a wider range of pain treatment options and alternative therapies, in addition to traditional medical interventions, all in their local community. As the CCN seeks to improve collaboration between VA and community providers, recognition of Veterans' experiences could serve to drive the development of network improvements. Findings reported here suggest that Veterans preferred obtaining care in the CCN once they could navigate administrative complexity to access it. Thus, efforts to streamline VA administrative requirements for initiating CCN care would better support Veterans in meeting their needs in this context.

New prognostic model for liver transplantation outcomes in hepatocellular carcinoma

Background. Liver transplantation remains a priority treatment option for hepatocellular carcinoma in the presence of liver cirrhosis; yet precise outcome prediction post-operation continues to be a complex challenge. Existing prognostic model often overlook patient age and donor type. Enhanced models that incorporate these parameters can improve prediction accuracy and treatment efficacy, which is critically important in the dynamically evolving field of transplantation.Objective. The aim of this study is to develop a prognostic model for liver transplantation outcomes in patients with hepatocellular carcinoma and liver cirrhosis.Material and methods. This retrospective study included 69 patients with hepatocellular carcinoma on the background of liver cirrhosis who underwent liver transplantation between May 2010 and December 2022. Of these, 42 patients (61%) received organs from living donors, and 27 (39%) from deceased donors. The study involved analysis of alpha-fetoprotein levels in blood, as well as assessment of radiological (maximum tumor nodule size, number of nodules) and histological parameters (maximum tumor nodule size, number of nodules, presence of vascular invasion). Cox regression model was used to predict recurrence-free survival, and the results for five-year recurrence-free survival, recipient age, and donor type were reused in the Cox model to predict overall survival.Results. Four models for predicting recurrence-free survival and overall survival based on histological and radiological data were developed, demonstrating high prognostic value with C-indexes on training/test data of 0.76/1; 0.73/1; 0.78/0.8; 0.6/0.8 respectively. All models showed recurrence-free survival prediction accuracy comparable to the Milan criteria. The model outcomes are available as a calculator on the website https://nadit.ru/calculate_HCC.Conclusion. The developed prognostic models are vital tools for personalized outcome prediction after liver transplantation for hepatocellular carcinoma. To enhance the accuracy of these models, further amalgamation and validation of data from various medical centers, as well as open scientific collaboration, are necessary.

Waterpipe Smoking and Lumbar Intervertebral Disc Degeneration: A Pilot Study.

Retrospective study. The objective of this study is to investigate the association of waterpipe smoking with lumbar intervertebral disc degeneration (IVDD). This is a retrospective chart review study. A total of 286 adults who underwent a lumbar magnetic resonance imaging (MRI) at a tertiary medical center were included and divided into three groups. Group 1 (n = 125) included non-smokers, group 2 (n = 80) smoked cigarettes only, and group 3 (n = 81) smoked waterpipe only. The intervertebral discs were graded using the Pfirmann disc degeneration grading system. The study showed higher lumbar disc degeneration scores for waterpipe and cigarette smokers compared to non-smokers at all spinal levels. Specifically, post hoc analysis showed that there was a significant difference at L1-L2 between cigarette smokers and non-smokers (P = 0.007) and between waterpipe smokers and non-smokers (P = 0.013), and a significant difference at L3-L4 and L4-L5 between non-smokers and cigarettes smokers (P < .001 and P = .029 respectively). Waterpipe smoking is associated with lumbar intervertebral disc degeneration.

Ulnar lengthening for children with forearm deformity from hereditary multiple exostoses: a retrospective study from a tertiary medical center

BackgroundPatients with hereditary multiple exostosis (HME) usually present with forearm deformity with or without radial head dislocation. Ulna lengthening has been proposed to address this condition. Exostosis resection plus ulna lengthening has been adopted in our hospital since 2008, and patients with this condition were retrospectively reviewed. Herein, we aimed to investigate the optimal timing and clinical outcomes of this surgical approach.MethodsIn all, thirty-five patients (40 forearms), including 22 boys and 13 girls, were enrolled in our study from July 2014 to September 2020. We divided the patients into 4 groups based on the age when they received surgery and the status of the radial head. Pronation and supination of the forearm, flexion and extension of the elbow, wrist ulnar deviation and wrist radial deviation, and radiological parameters including ulnar length (UL), ulnar variance (UV), the percentage of radial bowing (RB/RL), radio articular angle (RAA) and carpal slip (CS), were assessed and recorded.ResultsThe mean UL was significantly improved after surgery in four Groups (P<0.05). In patients with radial head dislocation, we found significant improvement in forearm, wrist function and elbow flexion (p < 0.05). For the patients with radial head dislocation, the juniors demonstrated better improvement in % RB and RAA (p<0.05, p = 0.003 and 0.031).ConclusionExostosis resection and ulna lengthening with unilateral external fixation can effectively improve the function and radiological parameters of forearm deformity in HME children. For patients with radial head dislocation, early surgery can achieve better results. For patients not associated with radial head dislocation, we recommend regular follow-up and surgical treatment after 10 years of age.

No medication prescription and residential distance from the hospital are important factors associated with nonsurgical weight-loss treatment discontinuance in Japanese patients with high-degree obesity: a retrospective study

BackgroundAlthough the percentage of the population with a high degree of obesity (body mass index [BMI] ≥ 35 kg/m2) is low in Japan, the prevalence of obesity-related diseases in patients with high-degree obesity is greater than that in patients with a BMI < 35 kg/m2. Therefore, treatment for high-degree obesity is important. However, clinical studies have reported that 20–50% of patients with obesity discontinue weight-loss treatment in other countries. The circumstances surrounding antiobesity agents are quite different between Japan and other countries. In this study, we investigated the predictors of treatment discontinuation in Japanese patients with high-degree obesity.MethodsWe retrospectively reviewed the medical charts of 271 Japanese patients with high-degree obesity who presented at Toho University Sakura Medical Center for obesity treatment between April 1, 2014, and December 31, 2017. The patients were divided into non-dropout and dropout groups. Patients who discontinued weight-loss treatment within 24 months of the first visit were defined as “dropouts.” Multivariate Cox proportional hazards regression analysis and Kaplan–Meier survival analysis were performed to examine the factors predicting treatment withdrawal.ResultsAmong the 271 patients, 119 (43.9%) discontinued treatment within 24 months of the first visit. The decrease in BMI did not significantly differ between the two groups. No prescription of medication and residential distance from the hospital exceeding 15 km were the top contributors to treatment discontinuation, and the absence of prescription medication was the most important factor. The dropout-free rate was significantly higher in patients with medication prescriptions than in those without and in patients who lived within 15 km of the hospital than in those who lived farther than 15 km from the hospital.ConclusionsNo medication prescription and longer residential distance from the hospital were associated with treatment dropout in Japanese patients with high-degree obesity; therefore, the addition of antiobesity medications and telemedicine may be necessary to prevent treatment discontinuation in such patients.

Challenges in reliable preoperative blood ordering: A qualitative interview study.

Presurgical blood orders are important for patient safety during surgery, but excess orders can be costly to patients and the healthcare system. We aimed to assess clinician perceptions on the presurgical blood ordering process and perceived barriers to reliable decision-making. This descriptive qualitative study was conducted at a single large academic medical center. Semi-structured interviews were conducted with surgeons, anesthesiologists, nurse anesthetists, nurse practitioners working in preoperative assessment clinics, and transfusion medicine physicians to assess perceptions of current blood ordering processes. Interview responses were analyzed using an inductive open coding approach followed by thematic analysis. Twenty-three clinicians were interviewed. Clinicians felt that the current blood ordering process was frequently inconsistent. One contributor was a lack of information on surgical transfusion risk, related to lack of experience in ordering clinicians, insufficient communication between stakeholders, high turnover in academic settings, and lack of awareness of the maximum surgical blood ordering schedule. Other contributors included differing opinions about the benefits and harms of over- and under-preparing blood products, leading to variation in transfusion risk thresholds between clinicians, and disagreement about the safety of emergency-release blood. Several barriers to reliable decision-making for presurgical blood orders exist. Future efforts to improve ordering consistency may benefit from improved information sharing between stakeholders and education on safe transfusion practices.

The impact of the COVID-19 surge after the end of China's Zero-COVID policy on the health-related quality of life of IBD patients

IntroductionIn December 2019, COVID-19 emerged in Wuhan, Hubei Province, China, and rapidly spread worldwide. On December 2022, the Chinese government ended the zero-COVID policy, leading to a surge in cases and significantly impacting daily life. IBD patients face heightened infection risks and substantial effects on their quality of life during the pandemic.MethodsThis cross-sectional study collected demographic, COVID-19-related, and HRQoL data from 224 IBD patients who had previously received treatment at Nanjing BenQ Medical Center. Participants completed an online survey between January 9, 2023, and January 23, 2023. The SIBDQ was used to assess HRQoL. Statistical analysis was performed using SPSS version 26.ResultsThe study found that UC patients reported higher HRQoL compared to CD patients (p = 0.037). Patients who perceived themselves as less susceptible to COVID-19 had higher scores (p = 0.006 and p = 0.009). Those whose work or study was unaffected also had higher scores (p < 0.001 and p = 0.002). Additionally, irregular medication adherence was associated with lower HRQoL scores (p = 0.014 and p = 0.007). Multivariate linear regression results showed that IBD patients whose work or study was affected during the COVID-19 pandemic scored lower than those who were not affected (p = 0.038; 95% CI, -7.96 to -0.25). Patients who discontinued IBD medication scored higher than those with irregular medication use (p = 0.020; 95% CI, 1.00 to 10.90).ConclusionsThis study highlights the significant impact of the COVID-19 pandemic on the HRQoL of IBD patients. The findings emphasize the need for integrated care addressing both the physical and psychological aspects of IBD.

Investigating genotype-phenotype correlations in primary ciliary dyskinesia: a sibling cohort study.

Primary Ciliary Dyskinesia (PCD) is a complex mostly autosomal recessive disorder characterized by dysfunction of primary motor cilia, leading to multisystemic manifestations, primarily affecting the rhino-sinopulmonary system. Despite advancements in understanding its pathogenesis, genotype-phenotype correlations are not fully elucidated. Utilizing sibling cohorts offers a promising approach to investigate these genotype-phenotype correlations in PCD. This retrospective cohort study, conducted from 2010 to 2023 at Soroka University Medical Center in Be'er-Sheva, Israel, included patients with a confirmed diagnosis of PCD. Variables and outcomes compared include typical presenting symptoms, lung function, structural changes in chest tomography (CT), and anthropometric data. Seventeen sibling patients from eight families met the inclusion criteria. At the last follow-up visit, the median age was 16 years. Genetic diagnosis revealed homozygous pathogenic variants including DNAH11, DNAAF3, DNAL1, and ZMYND10. Full concordance rates were observed for unexplained neonatal respiratory distress, chronic cough, and rhinosinusitis in patients with DNAH11 mutations. The family with the DNAAF3 mutation exhibited the lowest difference in Forced Expiratory Volume in 1 s (FEV1) Z-scores (0.48), but the highest differences in Forced Vital Capacity (FVC) Z-scores (3.39). High differences in FEV1 Z-scores were identified in the family with the DNAL1 mutation (2.06), while the lowest differences in FVC Z-scores (0.39) were observed in the same family. High concordance rates for certain mutations in clinical features suggest potential genotype-phenotype correlations, in contrast to weak concordance in lung function. Challenges remain in establishing direct correlations between genetic mutations and clinical outcomes.

Machine Learning Framework for Classifying and Predicting Depressive Behavior Based on PPG and ECG Feature Extraction

Depression is a significant risk factor for other serious health conditions, such as heart failure, dementia, and diabetes. In this study, a quantitative method was developed to detect depressive states in individuals using electrocardiogram (ECG) and photoplethysmogram (PPG) signals. Data were obtained from 59 people affiliated with the high-specialized medical center of Bajio T1, which consists of medical professionals, administrative personnel, and service workers. Data were analyzed using the Beck Depression Inventory (BDI-II) to discern potential false positives. The statistical analyses performed elucidated distinctive features with variable behavior in response to diverse physical stimuli, which were adeptly processed through a machine learning classification framework. The method achieved an accuracy rate of up to 92% in the identification of depressive states, substantiating the potential of biophysical data in increasing the diagnostic process of depression. The results suggest that this method is innovative and has significant potential. With additional refinements, this approach could be utilized as a screening tool in psychiatry, incorporated into everyday devices for preventive diagnostics, and potentially lead to alarm systems for individuals with suicidal thoughts.

Clinical evaluation of a machine learning-based early warning system for patient deterioration.

The implementation and clinical impact of machine learning-based early warning systems for patient deterioration in hospitals have not been well described. We sought to describe the implementation and evaluation of a multifaceted, real-time, machine learning-based early warning system for patient deterioration used in the general internal medicine (GIM) unit of an academic medical centre. In this nonrandomized, controlled study, we evaluated the association between the implementation of a machine learning-based early warning system and clinical outcomes. We used propensity score-based overlap weighting to compare patients in the GIM unit during the intervention period (Nov. 1, 2020, to June 1, 2022) to those admitted during the pre-intervention period (Nov. 1, 2016, to June 1, 2020). In a difference-indifferences analysis, we compared patients in the GIM unit with those in the cardiology, respirology, and nephrology units who did not receive the intervention. We retrospectively calculated system predictions for each patient in the control cohorts, although alerts were sent to clinicians only during the intervention period for patients in GIM. The primary outcome was non-palliative in-hospital death. The study included 13 649 patient admissions in GIM and 8470 patient admissions in subspecialty units. Non-palliative deaths were significantly lower in the intervention period than the pre-intervention period among patients in GIM (1.6% v. 2.1%; adjusted relative risk [RR] 0.74, 95% confidence interval [CI] 0.55-1.00) but not in the subspecialty cohorts (1.9% v. 2.1%; adjusted RR 0.89, 95% CI 0.63-1.28). Among high-risk patients in GIM for whom the system triggered at least 1 alert, the proportion of non-palliative deaths was 7.1% in the intervention period, compared with 10.3% in the pre-intervention period (adjusted RR 0.69, 95% CI 0.46-1.02), with no meaningful difference in subspecialty cohorts (10.4% v. 10.6%; adjusted RR 0.98, 95% CI 0.60-1.59). In the difference-indifferences analysis, the adjusted relative risk reduction for non-palliative death in GIM was 0.79 (95% CI 0.50-1.24). Implementing a machine learning-based early warning system in the GIM unit was associated with lower risk of non-palliative death than in the pre-intervention period. Machine learning-based early warning systems are promising technologies for improving clinical outcomes.

ASSESSMENT OF KNOWLEDGE, ATTITUDES AND PRACTICES ON RHEUMATIC HEART DISEASE AMONG CARDIAC PATIENTS IN AMRAN CITY, YEMEN

Background: All three layers of the heart—the pericardium, myocardium, and endocardium (including the valves)—may sustain irreversible damage as a result of rheumatic heart disease (RHD). Rheumatic heart disease is the result of valvular damage caused by an abnormal immune response to group a streptococcal infection, usually during childhood. The study aims to achieve the assessment of Knowledge, Attitudes and Practices (KAP) on rheumatic heart disease among cardiac patients in Amran city, Yemen. Method: The descriptive analytical method was used. The questionnaire was used as a tool for collecting data the research sample was (121) of those accompanying rheumatic heart patients in clinics and medical centers in the city of Amran, and they were selected in a simple random method. The data was analyzed and processed statistically using the Statistical Package for the Social Sciences program (SPSS) and many statistical methods, and after conducting the data analysis process and testing the study hypotheses. Result: The study found that heart patients in Amran have knowledge about rheumatic heart disease causes and symptoms, but lack knowledge about risk factors and disease history. Most suffer from arthritis and do not practice regular exercise. There were no significant differences in opinions about rheumatic heart disease and risk factors among heart patients due to variables like gender, age, education, and living conditions. Rural residents showed statistically significant differences. Conclusions: The study reveals that patients with rheumatic heart disease have the highest knowledge about the causes and symptoms, but also the risk factors associated with the disease. The knowledge of the disease's history is the most common, followed by rheumatic fever. Arthritis is the most common risk factor. The study found no significant differences in opinions among heart patients in Amran, but significant differences were observed in rural residents' opinions due to factors like gender, age, and living conditions. Peer Review History: Received 13 May 2024; Reviewed 14 July 2024; Accepted 22 August; Available online 15 September 2024 Academic Editor: Dr. Sally A. El-Zahaby, Pharos University in Alexandria, Egypt, sally.elzahaby@yahoo.com Average Peer review marks at initial stage: 6.0/10 Average Peer review marks at publication stage: 7.0/10 Reviewers: Dina Abd Elfattah Eldakhs, Pharos university (PUA), Egypt, dina_eldakhs@yahoo.com Prof. Hassan A.H. Al-Shamahy, Sana'a University, Yemen, shmahe@yemen.net.ye

Isolate distribution and antifungal susceptibility of Saccharomyces cerevisiae in the national regional medical center of Southwest China for women and children during 2018–2023

BackgroundSaccharomyces cerevisiae has been considered a harmless yeast, but in recent years, increasing evidence has shown that it can cause disease in humans, especially invasive infections in infants/children and vulvovaginal infections in women. This study aimed to investigate the clinical information and antifungal susceptibility of clinical cases with S. cerevisiae and establish a foundation for the prevention and treatment of fungal infections.MethodsThis study was conducted from May 2018 to May 2023 at a national regional medical center in Southwest China for women and children. The demographic and clinical characteristics of patients isolated with S. cerevisiae were collected and analyzed. All the isolates were cultured on Sabouraud medium plates and identified by MALDI-TOF MS. The antifungal susceptibility of S. cerevisiae to 10 agents (amphotericin B, fluconazole, itraconazole, voriconazole, micafungin, caspofungin, terbinafine and 5-flucytosine) was determined via the microdilution broth method to determine the minimum inhibitory concentrations (MICs).ResultsA total of 75 cases of S. cerevisiae isolated from patients with vulvovaginal candidiasis (VVC, 44 cases), pneumonia (13 cases), or diarrhea (18 cases) were included after data review. The MICs of voriconazole and flucytosine for S. cerevisiae isolated from different body sites differed, with higher resistance in intestinal isolates. In this study, S. cerevisiae caused VVC, but there was no clear evidence that it was involved in pneumonia or diarrhea. Compared with those of Candida albicans, the primary pathogen of VVC, the MICs of fluconazole (11.96 ± 5.78 µg/mL vs. 67.64 ± 16.62 µg/mL, p = 0.002), itraconazole (0.77 ± 0.19 µg/mL vs. 2.31 ± 0.53 µg/mL, p = 0.008), voriconazole (0.22 ± 0.09 µg/mL vs. 5.02 ± 1.09 µg/mL, p < 0.001), and terbinafine (10.41 ± 0.84 µg/mL vs. 14.93 ± 4.77 µg/mL, p < 0.001) for S. cerevisiae (isolated from the genital tract) were significantly lower, while those of micafungin (0.14 ± 0.01 µg/mL vs. 0.06 ± 0.01 µg/mL, p < 0.001) and caspofungin (0.27 ± 0.04 µg/mL vs. 0.06 ± 0.01 µg/mL, p < 0.001) were significantly greater.ConclusionAzoles remain the recommended regimen for S. cerevisiae-related VVC, and the use of amphotericin B vaginal effervescent tablets could be considered for the treatment of azole-resistant isolates. The antifungal susceptibility of S. cerevisiae varies according to the isolated source, and the pathogenicity trend of S. cerevisiae should be studied.

Evaluating the transition of adolescents and young adults with palliative care needs from pediatric to adult care

BackgroundThe transition from pediatric to adult healthcare poses significant challenges for adolescents and young adults (AYA), especially those with chronic conditions, yet most children receive inadequate transition preparation. Research on the transition for patients receiving palliative care services is particularly limited. We sought to address this gap in the literature. MethodsYoung adults aged 18 to 35 years who transitioned from the pediatric setting and received adult palliative care services at an urban academic medical center between the dates of February 1st, 2020 and July 1st, 2022 were identified retrospectively via electronic medical record. Chart review was used to investigate outcomes of interest, including use of pediatric palliative care services and timing of care conversations. ResultsOnly 23 % of patients interfaced with pediatric palliative care, despite all having childhood diagnoses. Pediatric palliative care exposure was associated with a significantly earlier median age of first adult palliative care encounter (19.63 versus 25.06, p = <0.001). Goals of care discussions, code status conversations, and healthcare proxy documentation occurred earlier if pediatric palliative care was involved (18.9 years versus 25.7 years, p < 0.001; 20.9 years versus 30.0 years, p < 0.001; 20.7 versus 28.9, p < 0.001). ConclusionsPediatric palliative care services were underutilized in AYA patients, but when used, were associated with earlier adult palliative care encounters, goals of care discussions, code status decisions, and health care proxy identification.

The association of the comorbidity status of metabolic syndrome and cognitive dysfunction with health-related quality of life.

Both metabolic syndrome (MetS) and cognitive dysfunction impair health-related quality of life (HRQOL). This study aims to determine whether individuals experiencing both MetS and cognitive dysfunction have lower HRQOL. This cross-sectional study enrolled 567 participants who attended outpatient clinics at a medical center in northern Taiwan. MetS was diagnosed according to the modified criteria for the Asian population. Cognitive function was categorized as normal, mild cognitive dysfunction, and advanced cognitive dysfunction according to the score of the Montreal Cognitive Assessment, Taiwanese version. HRQOL was assessed using the SF-36v2® Health Survey (SF-36v2). The associations of the comorbidity status of MetS and cognitive dysfunction with HRQOL were analyzed using linear regression models, adjusting for age, sex, marital status, education level, income groups, and activities of daily living. Out of 567 participants, 33 (5.8%) had MetS with mild cognitive dysfunction, and 34 (6.0%) had MetS with advanced cognitive dysfunction. Participants with both MetS and advanced cognitive dysfunction exhibited the lowest scores in the physical component summary and almost all scales of HRQOL. MetS exacerbated the inverse association between mild cognitive dysfunction and the mental component summary. For those with MetS, the scores on scales of role physical, bodily pain, vitality, and social functioning worsened as cognitive function deteriorated (all Ptrend<0.05). As the severity of comorbidity between MetS and cognitive dysfunction varies, patients exhibited poorer performance in different aspects of HRQOL. Future research is needed to find solutions to improve HRQOL for patients with both MetS and cognitive dysfunction.

Association Between Glycemic Variability and Persistent Acute Kidney Injury After Noncardiac Major Surgery: A Multicenter Retrospective Cohort Study.

While the relationship between glycemic variability (GV) and acute kidney injury (AKI) has been a subject of interest, the specific association of GV with persistent AKI beyond 48 hours postoperative after noncardiac surgery is not well-established. This retrospective cohort study aimed to describe the patterns of different GV metrics in the immediate 48 hours after noncardiac surgery, evaluate the association between GV indices and persistent AKI within the 7-day postoperative window, and compare the risk identification capabilities of various GV for persistent AKI. A total of 10,937 patients who underwent major noncardiac surgery across 3 medical centers in eastern China between January 2015 and September 2023 were enrolled. GV was characterized using the coefficient of variations (CV), mean amplitude of glycemic excursions (MAGE), and the blood glucose risk index (BGRI). Multivariable logistic regression was used to examine the relationship between GV and AKI. Optimal cutoff values for GV metrics were calculated through the risk identification models, and an independent cohort from the INformative Surgical Patient dataset for Innovative Research Environment (INSPIRE) database with 7714 eligible cases served to externally validate the risk identification capability. Overall, 274 (2.5%) of the 10,937 patients undergoing major noncardiac surgery met the criteria of persistent AKI. Higher GV was associated with an increased risk of persistent AKI (CV: odds ratio [OR] = 1.26, 95% confidence interval [CI], 1.08-1.46; MAGE: OR = 1.31, 95% CI, 1.15-1.49; BGRI: OR = 1.18, 95% CI, 1.08-1.29). Compared to models that did not consider glycemic factors, MAGE and BGRI independently contributed to predicting persistent AKI (MAGE: areas under the curve [AUC] = 0.768, P = .011; BGRI: AUC = 0.764, P = .014), with cutoff points of 3.78 for MAGE, and 3.02 for BGRI. The classification of both the internal and external validation cohorts using cutoffs demonstrated good performance, achieving the best AUC values of 0.768 for MAGE in the internal cohort and 0.777 for MAGE in the external cohort. GV measured within 48 hours postoperative period is an independent risk factor for persistent AKI in patients undergoing noncardiac surgery. Specific cutoff points can be used to stratify at-risk patients. These findings indicate that stabilizing GV may potentially mitigate adverse kidney outcomes after noncardiac surgery, highlighting the importance of glycemic control in the perioperative period.

HIV drug resistance: analysis of viral genotypes and mutation loci in people living with HIV in Chongqing, China (2016–2023)

BackgroundLarge-scale HIV genotype drug resistance study has not been conducted in Chongqing.MethodsA retrospective study was conducted on people living with HIV(PLWH) who received HIV-1 genotype resistance testing at Chongqing Public Health Medical Center from May 2016 to June 2023. The HIV-1pol gene was amplified through RT-PCR and analyzed in terms of genotypic drug resistance.ResultsOf the 3015 PLWH tested for HIV-1 drug resistance, 1405 (46.6%) were resistant to at least one antiviral drug. Among non-nucleoside reverse transcriptase inhibitors (NNRTIs), 43.8% were resistant, compared to 29.5% for nucleoside reverse transcriptase inhibitors (NRTIs) and 3.4% for protease inhibitors (PIs). V179D/E and K103N/S were identified as the common mutation sites in the NNRTIs class of drugs, M184V/I and K65R/N were reported as the most common mutation sites in NRTIs, while thymidine analogue mutation (TAM) group was identified in 373 samples. L10FIV was the most common mutation in PIs. The dominant HIV-1 subtype was CRF07_BC.ConclusionsThe high prevalence of HIV-1 drug resistance in Chongqing underscores the imperative for rigorous surveillance of the local HIV epidemic. Furthermore, TAMs are associated with HIV-1 multidrug resistance, and timely detection of drug resistance is helpful to reduce the emergence and spread of such drug-resistant strains.

An automated dispensing cabinet alert influences anesthesia provider medication preparation in a remifentanil waste reduction initiative

Study ObjectiveTo decrease the occurrence of remifentanil waste of 1 mg or more (1 full vial) by 25 % in our surgical division while maintaining satisfaction of 60 % of providers by using a remifentanil mixing workflow. DesignA time series–design quality improvement initiative targeted preventable remifentanil waste. A period of active interventions, followed by a pause and reinstatement of a system intervention, was used to validate its effectiveness. SettingAn academic medical center in the US with 1219 inpatient beds, performing 144,418 surgical cases in 2019 and 127,341 surgical cases in 2020, in 148 operating rooms. InterventionsIndividual- and system-level interventions provided education on the issues of preventable waste, access to a remifentanil dose calculator, and an automated dispensing cabinet (ADC) alert to halt wasteful practice. MeasurementsPreventable remifentanil waste was identified as disposing of intravenous infusion bags containing 1 mg or more or 1 full vial or more of unused medication. Data were retrieved from ADC reports. A preimplementation and postimplementation survey of anesthesia providers assessed workflow attitudes, perceptions, and satisfaction surrounding remifentanil mixing. Main ResultsPreventable remifentanil waste (≥1 mg or ≥ 1 full vial) decreased significantly from 22.0 % of cases using remifentanil at baseline to 16.7 % of cases using remifentanil (odds ratio, 0.71; 95 % CI, 0.60–0.84; P < .001) during the final data collection. Individual-level interventions of education, remifentanil dose calculator, and practice champions did not significantly affect waste while unpaired from the system intervention of the ADC alert. ConclusionsThe implementation of an ADC alert reduced preventable remifentanil waste among anesthesia providers.

The Effects of Diabetes on Gas Transfer Capacity, Lung Volumes, Muscle Strength, and Cardio-pulmonary Responses During Exercise.

Diabetes is a risk factor for the development of vascular disease, chronic kidney disease, retinopathy, and neuropathy. Diabetes is a co-morbid condition commonly present in patients with respiratory disorders but the extent to which it influences ventilatory capacity, gas exchange, and functional capacity is not well known. Research question Does the presence of diabetes contribute to impairment in spirometry, gas transfer, and exercise capacity? Retrospective analysis of all subjects who performed incremental cardio-pulmonary exercise testing (CPET) between 1988 and 2012 at McMaster University Medical Centre. The impact of diabetes on physiological outcomes and maximum power output (MPO) was assessed using stepwise multiple additive linear regression models including age, height, weight, sex, muscle strength, and previous myocardial infarct as co-variates, and was also stratified based on BMI categories. 40,776 subjects were included in the analysis; 1938 (5%, 66% male) had diabetes. Diabetics were older (59 vs. 53 years), heavier (88.3 vs.78.0 kg), and had a higher BMI (31 vs. 27kg/m2). The presence of diabetes was independently associated with a reduction in FEV1 (-130ml), FVC (-220ml), DLCO (-1.52ml/min/mmHg), and VA (-340ml) but not KCO. Patients with diabetes achieved a lower % predicted MPO[diabetic subjects 70% predicted (670 kpm/min ± 95% CI 284) vs. 80% in non-diabetics (786 kpm/min ± 342), p < 0.001]. With the exception of KCO, these differences persisted across BMI categories and after adjusting for MI. The presence of diabetes is independently associated with weaker muscles, lower ventilatory and gas transfer capacity and translates to a lower exercise capacity. These differences are independent of age, height, weight, sex, and previous MI.