Patient Health Research Articles

Effects Of Exercise Therapy On Igf-1 Level And Body Tissue Health In Patients With Osteosarcopenia

Effects Of Exercise Therapy On Igf-1 Level And Body Tissue Health In Patients With Osteosarcopenia

On Type 2 Diabetic Patients's Health Promotion Under The Integrated Theory Of Health Behavior Change

On Type 2 Diabetic Patients's Health Promotion Under The Integrated Theory Of Health Behavior Change

Indonesian Patient Health Questionnaire's Clinical Utility in Psychiatric Outpatients: Ruling Out Conditions per ICD-11 Criteria

This study aimed to assess the diagnostic accuracy of the Patient Health Questionnaire (PHQ) for identifying common mental disorders in an outpatient clinical psychologist office setting in Indonesia. A total of 661 outpatients from a clinical psychology office in Jakarta, Indonesia, participated in the study. The complete PHQ was administered, and its results were compared with diagnoses made by clinical psychologists based on ICD-11 criteria, including somatoform disorder (n = 6), depression (n = 117), Generalized Anxiety Disorder (GAD, n = 50), panic disorder (n = 42), bulimia nervosa (n = 2), binge eating disorder (n = 2), and other diagnoses such as OCD and BPD (n = 442). Receiver operating characteristics were computed to examine cut-off points, and optimal cut-off points based on the Youden Index were identified for somatoform disorder (PHQ-15 ≥ 13), depression (PHQ-9 ≥ 13), GAD (GAD- 7 ≥ 10), and panic disorder (PHQ-PD ≥ 7). Cut-off points for the alcohol abuse and eating disorder modules of the PHQ could not be determined due to a lack of sample, and AUC was suboptimal for PHQ-9, GAD-7, and PHQ-ED. The Indonesian PHQ demonstrated good sensitivity but low specificity in identifying somatoform disorder, depression, GAD, and panic disorders based on ICD-11 criteria among Indonesian clinical psychologist office outpatients. In the Indonesian outpatient psychiatric context, the utility of the Indonesian PHQ appeared to be most effective in ruling out diagnoses.

Artificial intelligence in action: Improving breast disease management through surgical robotics and remote monitoring

ObjectivesThis article aims to discuss the transformative impact of artificial intelligence (AI) on the identification and management of breast diseases, with a specific focus on breast cancer. Materials and methodsHealthcare providers have integrated AI technologies such as surgical robots and remote monitoring systems to improve the accuracy and efficiency of breast disease diagnosis and treatment. ResultsSurgical robots equipped with AI algorithms provide real-time guidance to surgeons, analyze imaging data, and ensure precise procedures for better outcomes in breast cancer surgeries. AI-driven remote monitoring systems allow for close monitoring of patient health data, disease progression prediction, and personalized treatment recommendations. ConclusionsThe incorporation of AI technology into healthcare practices for breast diseases has revolutionized patient care delivery, enhancing outcomes, promoting patient engagement, and improving overall quality of care. These advancements offer personalized and tailored healthcare strategies that meet the unique needs of each patient, reshaping the healthcare industry.

Exploring the characteristics changes of cardiopulmonary exercise testing in patients with acute coronary syndrome after PCI before and during the COVID-19 pandemic

Objective: To investigate the changes in cardiopulmonary exercise testing (CPET) characteristics before and after the outbreak of COVID-19 in patients with acute coronary syndrome (ACS) who underwent percutaneous coronary intervention (PCI). Methods: This is a cross-sectional study that included ACS patients who underwent PCI at the General Hospital of the Northern Theater Command from July 2018 to February 2023. Based on the timeline of the COVID-19 pandemic, patients were divided into two groups: the pre-pandemic group and the during-pandemic group, with January 2020 as the dividing line. Clinical data were collected from both groups, and a comparative analysis was performed on their postoperative CPET outcomes, including peak oxygen uptake (peak VO2), peak metabolic equivalents (peak MET), and other indicators. Weber's classification was used to assess cardiac function. In addition, the 7-tiem generalized anxiety disorder scale (GAD-7) and the patient health questionnaire-9 (PHQ-9) were used to assess the patients' psychological anxiety and depression states, respectively. Multivariate logistic regression was used to analyze the influencing factors of CPET after PCI. Results: A total of 4 310 post-PCI ACS patients were included, with an average age of (58.7±9.1) years, and 3 464 (80.37%) were male. There were 1 698 patients in the pre-pandemic group and 2 612 patients in the during-pandemic group. The main indicator of the CPET, peak VO2 (15.04±3.93) ml·min-1·kg-1 in the during-pandemic group, was lower than that in the pre-pandemic group (15.52±3.68) ml·min-1·kg-1, and the difference was statistically significant (P<0.001). Multivariate logistic regression analysis showed that advanced age, female gender, high body mass index, elevated high-sensitivity C-reactive protein, reduced high-density lipoprotein cholesterol, smoking history, history of myocardial infarction, more severe ACS classification, and mild to moderate degree of depression were related to poor cardiopulmonary outcomes (P<0.05). Conclusion: The COVID-19 pandemic had a negative impact on the cardiopulmonary outcomes of ACS patients after PCI. Reduced physical activity, and increased psychological stress should be given consideration and attention regarding their impact on patients' cardiopulmonary function.

A clinical randomized controlled study on the psycho-cardiological therapy for patients with coronary atherosclerosis disease

Objective: To explore the prognosis efficacy of psycho-cardiological therapy and management on patients with coronary atherosclerosis disease (CAD). Methods: This was a clinical randomized controlled study. This study included inpatients with CAD at the cardiology department in Beijing Anzhen Hospital, Capital Medical University from August 2021 to January 2024. The patients enrolled in this study were asked for basic information, and received measurements for depression, anxiety, sleep quality and living quality by the scales of Patient Health Questionnaire-9 (PHQ-9), General Anxiety Disorder scale-7 (GAD-7), Athens Insomnia Scale (AIS), EuroQol 5-dimension 5-level (EQ-5D-5L) respectively. The patients were randomly grouped into a regular treatment group and a psycho-cardiological treatment group which included WeChat management or antidepressant/antianxiety medical therapy according to the situation. After the patients discharging from hospital for 2, 4, 12, 24, 48, 72, and 96 weeks, professional cardiovascular doctors would follow up by telephone, WeChat, and outpatient department, including scales (2-48 weeks), and cardiac events (2-96 weeks). Kaplan-Meier survival curve and multivariate Cox proportional hazards model were used for analyzing the association between psycho-cardiological treatment and cardiac events. Results: This study recruited a total of 552 patients with CAD, aged 61.0(54.0, 67.0) years, and 379 (68.7%) were male. There were 279(50.5%) in the regular treatment group and 273(49.5%) in the psycho-cardiological treatment group. After treatment for 4, 12 and 48 weeks, the PHQ-9 score in psycho-cardiological was significantly lower than the regular treatment group; After treatment for 12 weeks, the EQ-5D-5L effective value in psycho-cardiological group was higher than the regular treatment group; After treatment for 2, 4, 12, 24 and 48 weeks, the EQ-5D-5L VAS score in psycho-cardiological group was higher than the regular therapy group (all P<0.05). The Kaplan-Meier survival curve showed that, during the different follow-up periods, the rate of cardiac events in psycho-cardiological treatment group was lower than regular treatment group (log-rank P<0.001). The multivariate Cox proportional hazards model adjusted the factor of age, the psycho-cardiological treatment contributed to reducing the cardiac events rate by 80.3% (HR=0.197, 95%CI: 0.067-0.582, P=0.003). Conclusion: Psycho-cardiological treatment is beneficial for improving psychological stress, living quality, and reducing cardiac events, and helps to improve prognosis and psycho-cardiological rehabilitation in CAD patients.

Identification and validation of diagnostic and prognostic biomarkers in prostate cancer based on WGCNA

BackgroundProstate cancer (PCa) represents a significant health challenge for men, and the advancement of the disease often results in a grave prognosis for patients. Therefore, the identification of biomarkers associated with the diagnosis and prognosis of PCa holds paramount importance in patient health management.MethodsThe datasets pertaining to PCa were retrieved from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was conducted to investigate the modules specifically associated with the diagnosis of PCa. The hub genes were identified using the LASSO regression analysis. The expression levels of these hub genes were further validated by qRT-PCR experiments. Receiver operating characteristic (ROC) curves and nomograms were employed as evaluative measures for assessing the diagnostic value.ResultsThe blue module identified by WGCNA exhibited a strong association with PCa. Six hub genes (SLC14A1, COL4A6, MYOF, FLRT3, KRT15, and LAMB3) were identified by LASSO regression analysis. Further verification confirmed that these six genes were significantly downregulated in tumor tissues and cells. The six hub genes and the nomogram demonstrated substantial diagnostic value, with area under the curve (AUC) values ranging from 0.754 to 0.961. Moreover, patients with low expression levels of these six genes exhibited elevated T/N pathological stage and Gleason score, implying a more advanced disease state. Meanwhile, their progression-free survival (PFS) was observed to be potentially poorer. Finally, a significant association could be observed between the expression of these genes and the dysregulation of immune cells, along with drug sensitivity.ConclusionsIn summary, our study identified six hub genes, namely SLC14A1, COL4A6, MYOF, FLRT3, KRT15, and LAMB3, which can be utilized to establish a diagnostic model for PCa. The discovery may offer potential molecular targets for clinical diagnosis and treatment of PCa.

The association between the number of food kinds and risk of depression in U.S. adults

BackgroundThe association between the number of food kinds and the risk of depression in adults was examined.MethodsAccording to the inclusion and exclusion criteria, a total of 4593 adults were included in the study. The number of food kinds was collected via 24‒hour dietary recalls. Depression was assessed using the Patient Health Questionnaire‒9. Logistic regression and restricted cubic spline models were applied to assess the association between the number of food kinds and the risk of depression.ResultsThis study included 4593 study participants, 451 of whom were diagnosed with depression. The revised advantage ratios (with corresponding confidence intervals) for the prevalence of depression among individuals in the fourth quartiles of the number of food kinds (Q4) in comparison to the lowest quartile (Q1) were determined to be 0.59 (0.36‒0.96), respectively. According to our subgroup analyses, the number of food kinds was negatively associated with the risk of depression in females, participants aged 18‒45 and 45‒65 years, and participants with a body mass index (BMI) of 25 to 24.9 kg/m2. According to our dose‒response analysis, the number of food kinds was linearly associated with the risk of depression (Pfor nonlinear=0.5896).ConclusionThe risk of depression exhibited a linear and negative correlation with the number of food kinds. The results indicated that a diversified diet was an effective nonpharmacological approach that deserved further generalization.

Identifying depression, diabetes distress, and suicidality among adolescents with diabetes

ABSTRACT This study explored the frequency of adolescents with diabetes who endorse suicidality on the Patient Health Questionnaire (PHQ-9) with varying degrees of depression scores. Additionally, compared whether diabetes distress levels from the Problem Areas in Diabetes-Teen (PAID-T) assessment tool is associated with and without suicidal ideation. Χ2 analysis was used to assess differences in subjects with or without suicidal ideation based on depression severity. Since all the data were nonparametrically distributed (Shapiro–Wilk test, p < .05), Kruskal–Wallis test assessed differences in continuous variables. Overall, 27 of 355 adolescents screened endorsed suicidal ideation. Both PHQ-9 [13 (9–17.8) vs 1 (0–4.5)] and PAID-T [88 (61.8–104.5) vs 40 (30–58.8)] scores were significantly higher in patients with suicidal ideation. The frequency of suicidal ideation increased with the severity of depression. The frequency of severe depression was higher in adolescents with type 2 diabetes (n = 48) than in type 1, but there was no difference in suicidality. Adolescents with no demonstrable or minimal depression can still have potential suicidal ideation. Suicidality is a separate construct that should be screened routinely and apart from any measures screening for distress or adjustment disorders associated with adolescents experiencing life-long chronic conditions in a healthcare follow-up setting.

Accessibility of neurotization in deep inferior epigastric perforator flap reconstruction: inequities and implications for pre-authorization.

Breast anesthesia and hypoesthesia occur commonly after mastectomy and negatively impact quality of life. Neurotization during deep inferior epigastric perforator (DIEP) breast reconstruction offers enhanced sensory recovery. However, access to neurotization for DIEP reconstruction patients has not been evaluated. This retrospective study included patients who underwent DIEP breast reconstruction between January 2021 and July 2022 at a tertiary-care, academic institution. Demographics, outcomes, insurance type, and Area Deprivation Index (ADI)were compared using two-sample t-test or Chi-square analysis. Of the 124 patients who met criteria, 41% had neurotization of their DIEP flaps. There was no difference in history of tobacco use (29% vs 33%), diabetes (14% vs 9.6%), operative time (9.43 hr vs 9.73 hr), length of hospital stay (3 d vs 3 d), hospital readmission (9.8% vs 6.8%), or reoperation (12% vs 12%) between to patients with and without neurotization. However, access to neurotization differed significantly by patient health insurance type. Patients who received neurotization had a lower median ADI percentile of 40.0 indicating higher socioeconomic advantage compared to patients who did not receive neurotization at 59.0 (p=0.01). Access to neurotization differed significantly by patient health insurance and by ADI percentile. Expanding insurance coverage to cover neurotization is needed to increase equitable access and enhance quality of life for patients who come from disadvantaged communities. Our institution's process for pre-authorization is outlined to enhance likelihood of insurance approval for neurotization.

Impact of gynecological cancers on women’s mental health

Gynecological cancers and their treatments are associated with both specific and non-specific long-term physiological effects. Cancer patients face transformations in their lifestyle, body image, role, and social interactions and suffer from physical, psychological, and economic problems. The mental health of cancer patients is of great importance and requires special attention, as growing evidence demonstrates its influence not only on quality of life but also on treatment compliance. Gynecological cancers have peculiar psychological consequences, which are linked to the specificity of the site of the neoplasia. Clinicians should be aware of the importance of protecting the psychophysical health of these patients and the fact that their physical health and quality of life also depend on the quality of their mental health. It is possible to structure targeted and effective prevention interventions and treatments to reduce psychological distress and improve the quality of life of subjects living with gynecological cancers.

Adherence to cardiovascular medications and risk of cardiovascular disease in breast cancer patients: A causal inference approach in the Pathways Heart Study

Purpose Women with breast cancer (BC) are at high risk of developing cardiovascular disease (CVD). We examined adherence to CVD medications and their association with major CVD events over 14 years of follow-up in the Pathways Heart Study, a prospective study of 4,776 stage I-III BC patients diagnosed from 2005–2013. Methods Eligibility included being alive 6 months post-BC diagnosis, with dyslipidemia, hypertension, or diabetes at diagnosis along with ≥1 prior outpatient order or dispensing for a statin, anti-hypertensive, or diabetes medication, respectively, in the 30 months prior. Medication adherence was measured from pharmacy data to calculate cumulative average adherence (CAA). Incident heart failure (HF), ischemic heart disease (IHD), and stroke were determined via validated diagnosis and procedure codes. Working marginal structural models (MSM) fitted with inverse probability weighting evaluated the effect of adherence regimens on the hazards for each CVD event, while controlling for baseline and time-varying confounders. MSM parameterizations included: 1) CAA&lt;100% versus CAA = 100% (ref), 2) CAA&lt;80% versus CAA≥80% (ref) and 3) CAA&lt;80% versus 80%≤CAA&lt;100% versus CAA = 100%. Results Poor statin adherence (CAA&lt;80%) was associated with higher risk of composite CVD (HR = 2.54; 95% CI: 1.09, 5.94) versus CAA≥80%. Poor statin adherence was also associated with a higher risk of stroke (HR = 8.13; 95% CI: 2.03, 32.51) but not risk of IHD and HF. Further, compared with perfect adherence (CAA = 100%), good adherence (80%≤CAA&lt;100%) was associated with lower risk (HR = 0.35; 95% CI: 0.13, 0.92) while poor adherence (CAA&lt;80%) was associated with higher risk of composite CVD (HR = 2.45; 95% CI: 1.05, 5.70). Levels of adherence to anti-hypertensives and diabetes medications had mixed or null associations with risk of CVD. Conclusions Maintaining good adherence (≥80%) to statins after BC treatment is beneficial for cardiovascular health in patients with dyslipidemia. Future studies should determine factors associated with lower adherence to statins and ways to improve adherence.

Validity of Wrist-Worn Activity Tracker Heart Rate Detection in Fontan Patients During Exercise.

Physical activity and a healthy lifestyle play an essential role in optimizing long-term health in patients with Fontan physiology. Wrist-worn activity trackers may be useful in medically directed exercise programs for patients with Fontan physiology. The objective of this study was to measure the validity of Garmin and Fitbit activity tracker heart rate detection in patients with Fontan circulation when compared to electrocardiogram (ECG) during cardiopulmonary exercise testing (CPET). 47 Fontan patients undergoing CPET for clinical indications were included and wore activity trackers during CPET. Heart rate via the activity tracker was collected at baseline, maximal exercise, and recovery. Patient heart rates, peak VO2, and peak respiratory exchange ratio (RER) were collected using standard CPET protocols and equipment. Heart rate at each time point was compared between the activity trackers and CPET ECG. Median age of participants was 17.1 years, 15.1 years since Fontan completion. Mean percent of predicted peak VO2 was 56.8%, z-score -3.2 with 61.7% of participants completing a maximal CPET (RER ≥ 1.09). Baseline oxygen saturation mean was 92.9%, 90.0% at maximal exercise. Activity trackers demonstrated mean absolute percentage error < 10% at most time points, comparable with other studies. Demographics, Fontan-associated comorbidities, and echocardiogram findings did not impact the accuracy. Consumer-oriented wrist-worn activity trackers show promising accuracy for heart rate monitoring in medically directed exercise programs for adolescents and young adults with Fontan physiology. Further validation across different exercise modalities is needed.

Exploring the Opportunities and Barriers of Implementing the Health Focused Physical Therapy Model

The Health-Focused Physical Therapy Model integrates lifestyle behavior management into physical therapy practice using a standardized care model and motivational patient interviewing. The purpose of this study was to identify the perceived opportunities and barriers physical therapists, physical therapist assistants, and rehab administrators may face when implementing the model. This study included a survey of 19 physical therapy clinicians, and interviews with four rehabilitation administrators from one healthcare system. All participants attended a continuing education course covering the model and then completed a survey detailing their perceptions. Participants included female (100%), physical therapists (78.9%) and physical therapy assistants (21.1%), with variable educational degrees, and at least 16 years of clinic experience (73.7%). Four rehabilitation administrators, 100% female with at least 11 years of PT practice, participated in a semi-structured interview. Survey analysis revealed participants were confident in their understanding of the model and believed the model would positively impact the health of patients. However, over half perceived time limitations as a barrier. Meanwhile, three themes from the interview emerged including holistic care, implementation barriers, and needed resources. This study demonstrated time limitations and productivity standards could limit the implementation of health-focused physical therapy care. Future research should analyze opportunities and barriers of the model with broadened participant sampling methods and triangulation across healthcare practitioner roles to guide implementation and realistic practice standards.

A study on improving cancer-related fatigue and disease-related psychological variables in patients with cervical cancer based on online mindfulness-based stress reduction: a randomized controlled trial

BackgroundThe persistent destructive power of cancer-related fatigue (CRF) has been regarded as the biggest influencing factor affecting the postoperative physical and mental health of patients with cervical cancer. During this process, patients might also experience different feelings of disease-related psychological. Therefore, this study aimed to adopt mindfulness-based stress reduction (MBSR) to intervene in patients with cervical cancer, and conducted follow-up for 3 and 6 months to observe the effects of changes in CRF, uncertainty in illness, coping styles, sense of coherence (SOC), and perceived social support (PSS).MethodsA randomized controlled trial was conducted in ShengJing Hospital of China Medical University. A total of 102 patients were selected, and 78 patients completed the whole process, including 40 in the experimental group and 38 in the control group. Data were collected according to Cancer Fatigue Scale, Medical Coping Modes Questionnaire, Multidimensional Scale of Perceived Social Support, and Sense of Coherence-13. The change trend and difference of the two groups of research data were compared by repeated measurement analysis of variance. Bonferroni test was used for multiple tests between groups.ResultsThe CRF, SOC, and coping styles of the MBSR group showed a decreasing trend (P < 0.001) at after MBSR, 3 months follow-up, and 6 months follow-up compared to the before MBSR. However, the uncertainty in illness of the MBSR group showed a decreasing trend (P < 0.001) at after MBSR compared to the before MBSR, and it rose in 3 months follow-up and 6 months follow-up.ConclusionMBSR can effectively alleviate the fatigue of CRF after treatment, while improving their psychological environment. Medical workers can consider implementing online MBSR for patients with cervical cancer in their daily rehabilitation nursing, which is beneficial for their recovery.Trial registrationChina Clinical Trial Registration Center ChiCTR2000040122 (https//www.chictr.org.cn/). Registered on November 21, 2020.

The efficacy of mobile applications for reducing depression in adolescents and young adults: A meta-analysis of randomized control trials.

Mobile applications for mental health have the potential to aid people with mental health disorders, especially depression, by providing them with tools and coping mechanisms. Adolescents and young adults, being at risk of depressive symptoms and leading mobile users, are among the main targets of using mobile applications to alleviate symptoms. This study aimed to evaluate the impact of mobile application-based psychological interventions in reducing depression symptoms in adolescents and young adults compared to those not exposed to the intervention. We conducted a meta-analysis focusing on mobile applications for reducing depressive symptoms. We searched two databases: MEDLINE and EMBASE and included randomized controlled trials conducted in English among participants aged 18-35 years old who were assessed for depressive symptoms using a validated screening measure and used mobile applications-based psychological interventions. Two of six independent reviewers conducted study selection, data extraction, and bias assessment. A pooled mean standardized difference (Cohen's d) and 95% CI were calculated using random-effects meta-analysis. Risk of bias was assessed using I2 statistics and forest plot. Egger's test was used for assessing publication bias. After screening 740 references, we identified 12 trials with 1869 participants, with a mean age of participants ranging from 14.70 to 25.1 years. The interventions ranged from cognitive behavioral therapy (CBT)-based mobile apps to interactive story-telling apps and apps delivering a mix of CBT, interpersonal psychotherapy for adolescents, and dialectical behavior therapy elements. Control groups included information-only, waitlist, no intervention, and treatment as usual. Seven studies used Patient Health Questionnaire-9 (PHQ-9) to assess the severity of depressive symptoms, while the other five used different scales. There was no evidence of publication bias (p = 0.325). The mobile applications reduced depression score by 0.08 units of standardized difference more than the control, with a 95% CI of -0.19 to 0.03 (p = 0.294, I2 = 15.4%) using standardized mean difference (SMD) as the effect estimate. In a sensitivity analysis including only studies that used PHQ-9, we found a similar trend, SMD -0.72 (95%CI -1.48 to 0.03). However, both findings were not significant. Current evidence is insufficient to support mobile applications to relieve depression symptoms in adolescents and young adults. Further trials with larger sample size are needed to confirm our findings of a positive trend. With emerging technologies and the high exposure of apps in this population, mobile applications for depression hold promise for the future of treatment and awareness of mental health disorders in this population.

Machine learning-based prediction of the risk of moderate-to-severe catheter-related bladder discomfort in general anaesthesia patients: a prospective cohort study

BackgroundCatheter-related bladder discomfort (CRBD) commonly occurs in patients who have indwelling urinary catheters while under general anesthesia. And moderate-to-severe CRBD can lead to significant adverse events and negatively impact patient health outcomes. However, current screening studies for patients experiencing moderate-to-severe CRBD after waking from general anesthesia are insufficient. Constructing predictive models with higher accuracy using multiple machine learning techniques for early identification of patients at risk of experiencing moderate-to-severe CRBD during general anesthesia resuscitation.MethodsEight hundred forty-six patients with indwelling urinary catheters who were resuscitated in a post-anesthesia care unit (PACU). Trained researchers used the CRBD 4-level assessment method to evaluate the severity of a patient’s CRBD. They then inputted 24 predictors into six different machine learning algorithms. The performance of the models was evaluated using metrics like the area under the curve (AUC).ResultsThe AUCs of the six models ranged from 0.82 to 0.89. Among them, the RF model displayed the highest predictive ability, with an AUC of 0.89 (95%CI: 0.87, 0.91). Additionally, it achieved an accuracy of 0.93 (95%CI: 0.91, 0.95), 0.80 sensitivity, 0.98 specificity, 0.94 positive predictive value (PPV), 0.92 negative predictive value (NPV), 0.87 F1 score, and 0.07 Brier score. The logistic regression (LR) model has achieved good results (AUC:0.87) and converted into a nomogram.ConclusionsThe study has successfully developed a machine learning prediction model that exhibits excellent predictive capabilities in identifying patients who may develop moderate-to-severe CRBD after undergoing general anesthesia. Furthermore, the study also presents a nomogram, which serves as a valuable tool for clinical healthcare professionals, enabling them to intervene at an early stage for better patient outcomes.

Treatment efficacy and patient satisfaction of ustekinumab compared with tumor necrosis factor-alpha inhibitors in Chinese patients with moderate-to-severe psoriasis: a real-world study

Background Ustekinumab is an interleukin (IL)-12/IL-23 inhibitor for the treatment of moderate-to-severe psoriasis. Objective This real-world study compared ustekinumab and tumor necrosis factor-alpha inhibitors (TNFis) in Chinese moderate-to-severe psoriasis patients. Methods Patient health records of 110 moderate-to-severe psoriasis patients initiating or switching biologics were reviewed, with 31 patients receiving ustekinumab (ustekinumab group) and 79 patients receiving TNFis (TNFi group). Results Compared with TNFi group, psoriasis area and severity index (PASI)-75 response rate at month 6 (M6) were elevated (87.1% versus 65.8%, p = 0.026) in the ustekinumab group, whereas the rates at month 1 (M1) and month 3 (M3) and PASI-90 response rates at M1, M3, and M6 only showed an increasing trend (all p > 0.050) in the ustekinumab group than the TNFi group. By subgroup analyses, ustekinumab (versus TNFi) was more effective in patients with biologics therapy history than those without. Compared with the TNFi group, the ustekinumab group had lower dermatology life quality index scores and higher patient satisfaction scores at M3 and M6 (all p < 0.050). Conclusion Chinese moderate-to-severe psoriasis patients treated with ustekinumab have a better treatment response at 6 months with improved quality of life and patient satisfaction after 3–6 months of treatment when compared to TNFi.

Evaluation of serum irisin level and severity of erectile dysfunction in diabetic males: a cross sectional prospective study

BackgroundIrisin is an exercise-induced myokine that alleviates endothelial dysfunction and reduces insulin resistance in type 2 diabetes mellitus (T2DM). The current study aimed to assess the serum level of irisin in T2DM men with erectile dysfunction (ED) compared to T2DM patients with normal erectile function and healthy controls, as well as investigate the association between serum irisin level and the severity of ED in T2DM patients.Patients and methodsA cross-sectional study was conducted on 90 males, divided into three groups: 32 T2DM patients with ED, 24 T2DM patients without ED, and 34 healthy controls. Socio-demographic characteristics and scores of the validated Arabic version of the international Index of Erectile Function-5 (ArIIEF-5), Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) were obtained. Furthermore, routine laboratory tests employed for diabetes monitoring and serum levels of total testosterone and irisin were assessed within these groups.ResultsT2DM men with ED had significantly lower serum levels of irisin and testosterone, as well as a lower ArIIEF-5 score, but their GAD-7 and PHQ-9 scores were significantly higher than those without ED or controls (p < 0.001). Among T2DM men, serum irisin levels positively associated with ArIIEF-5 scores and serum testosterone (r = 0.413, p = 0.002; r = 0.936, p < 0.001, respectively) but negatively associated with glycosylated hemoglobin levels (r = -0.377, p = 0.004). Multivariate regression analysis to predict ED in T2DM patients found that GAD-7 score was the only most significant predictor for ED (ꞵ = − 1.176, standard error = 0.062, p < 0.001).ConclusionThe current study had demonstrated that irisin positively correlated with the ArIIEF-5 and serum testosterone but negatively correlated with HbA1c in T2DM men. Nevertheless, further validation of these findings is necessary through cohort studies.

Zero shot health trajectory prediction using transformer

Integrating modern machine learning and clinical decision-making has great promise for mitigating healthcare’s increasing cost and complexity. We introduce the Enhanced Transformer for Health Outcome Simulation (ETHOS), a novel application of the transformer deep-learning architecture for analyzing high-dimensional, heterogeneous, and episodic health data. ETHOS is trained using Patient Health Timelines (PHTs)—detailed, tokenized records of health events—to predict future health trajectories, leveraging a zero-shot learning approach. ETHOS represents a significant advancement in foundation model development for healthcare analytics, eliminating the need for labeled data and model fine-tuning. Its ability to simulate various treatment pathways and consider patient-specific factors positions ETHOS as a tool for care optimization and addressing biases in healthcare delivery. Future developments will expand ETHOS’ capabilities to incorporate a wider range of data types and data sources. Our work demonstrates a pathway toward accelerated AI development and deployment in healthcare.