Individual Treatment Effects Research Articles

Confinement of People with Mental Disorders from the Perspective of Spiritual Leaders of Banggai Culture, Indonesia: An Ethnosemantic Approach

The practice of confinement of people with mental disorders not only infringes upon individuals’ fundamental rights but also contravenes established health legislation, including in Indonesia, the setting for this study. In this country, confinement may be practiced by isolation or seclusion in a room or a small hut built in the family’s garden or rice field, some ten-minute walk from the house to the hut. Leg restraints or shackles may also be used. This study delved into the significance of confining individuals with mental disorders by analyzing the linguistic expressions of spiritual leaders from the Banggai culture in Central Sulawesi, Indonesia. Engaging with cultural and spiritual leaders within a community is imperative to gain insights into the underlying perspectives that influence family decisionmaking processes. This exploration involved a detailed examination of the linguistic expressions these leaders conducted within the cultural context of the Banggai community from March to June 2023. This study employed an ethnosemantic approach and in-depth interviews according to the framework outlined in Spradley’s Developmental Research Sequence model. The participants were 13 cultural and spiritual leaders in the Banggai region, commonly referred to as Talapu. They were chosen using snowball sampling techniques.The data-gathering process was facilitated through in-depth interviews structured to incorporate descriptive queries, structured inquiries, and contrasting questions. The data processing involved the analysis of interview transcripts utilizing domain analysis, taxonomic analysis, and component analysis techniques. This analytical approach yielded 11 domains, six taxonomies, and six paradigms, contributing to identifying three distinct cultural themes. These themes were utilizing spiritual rituals as an intervention for the treatment of individuals with mental disorders, the multifaceted roles played by Talapu in managing individuals with mental disorders, and the association between Talapu and the practice of confining individuals with mental disorders. The use of physical restraint and confinement by the Talapu in treating individuals with mental disorders raises ethical concerns, particularly regarding autonomy, non-maleficence, and adherence to international human rights standards in contemporary nursing practice. Nurses in Indonesia should engage in collaborative education with the Talapu, emphasizing the careful and strategic implementation of Indonesia’s health legislation to prohibit human rights infringements, ensuring effective treatment and psychosocial support for individuals with mental disorders, and promoting their seamless integration into family and society.

Comparative quantitative analysis of optical coherence tomography angiography in varied morphologies of macular neovascularization following intravitreal conbercept and ranibizumab treatments for neovascular age‑related macular degeneration.

The present study aimed to examine the optical coherence tomography angiography (OCTA) parameters associated with macular neovascularization (MNV) in patients diagnosed with neovascular age-related macular degeneration (nAMD) and treated with either intravitreal conbercept (IVC) or ranibizumab (IVR). It enrolled 39 nAMD patients presenting with MNV, including 23 in the IVC group and 16 in the IVR group. All participants were treatment-naïve with intravitreal therapy and they underwent treatment following a '3+PRN' regimen. The MNV patterns identified through OCTA were categorized as Medusa, tangled, seafan and other variations. Key outcome measures encompassed best-corrected visual acuity (BCVA), MNV vascular area (MNV-VA), MNV vascular density (MNV-VD) ratio and central macular thickness (CMT). In the present study, 44 eyes were included, with 28 eyes undergoing treatment with IVC and 18 eyes with IVR. On day 90, there was a statistically significant improvement in mean BCVA from baseline among all patients treated with IVC (P=0.002). Notably, improved outcomes were observed in those with the 'tangled' pattern compared with the other three patterns (P=0.007). CMT exhibited a significant decrease from baseline (P=0.007), with consistent improvement observed across all four patterns (P=0.052) on day 90. The mean MNV-VA decreased in all patients, reaching statistical significance for the Medusa pattern (P=0.008), although the improvement in visual acuity was deemed unsatisfactory. Patients with the seafan pattern treated with IVR improved significantly in BCVA (P=0.042). The mean CMT significantly improved from baseline (P=0.001), consistent across the four patterns (P=0.114). Significant improvements were noted in the mean MNV-VA for the seafan pattern and in the mean MNV-VD ratio for the other patterns. The two regimens had no significant differences regarding BCVA, CMT, and MNV parameters. Conbercept emerged as a viable treatment option for patients presenting with tangled MNV patterns. On the other hand, ranibizumab might be considered an effective intervention for individuals with seafan MNV patterns. Notably, the Medusa MNV pattern was associated with a morphologic configuration indicative of a poor prognosis.

Abstract P131: Individualized Risk Prediction for Type 2 Diabetes: A Secondary Analysis of the Diabetes Prevention Program

Introduction: Type 2 diabetes (T2D) risk prediction models that predict risk with individualized preventive intervention effects can help targeted prevention. Hypothesis: An individualized T2D risk prediction model developed in the Diabetes Prevention Program (DPP) randomized trial that incorporates differential treatment effects based on an individual’s fasting glucose (FG) level and body mass index (BMI) will provide more accurate predictions than a model without individualized treatment effects. Methods: We included 2640 DPP participants randomized to the placebo, metformin, or lifestyle arms. Using 50% of the DPP sample, we developed a non-individualized Cox model predicting T2D risk over 3 years with adjustment for sex, hemoglobin A1c, triglycerides, FG, BMI, and treatment, and an individualized model with adjustment for these variables plus interactions between treatment and age, FG, and BMI. In the remaining 50%, we evaluated the prediction accuracy of both models using the concordance (C)-statistic. We repeated this process 100 times with different random splits. We externally validated models among Multi-Ethnic Study of Atherosclerosis (MESA) adults with prediabetes (n=1067) where model predictions were computed for each intervention scenario and averaged for all participants. Results: Mean (standard deviation) age of participants was 51 (11) years in the DPP and 64 (10) in MESA, with 67% and 54% women, respectively. Mean C-statistics for our individualized and non-individualized prediction models (100 splits) in DPP were 0.71 and 0.70, respectively (table). The individualized model predicted higher benefit of lifestyle intervention at lower BMI levels and higher benefit of both metformin and lifestyle at higher FG. The C-statistic of the individualized model was 0.78 in the MESA validation. Conclusion: Creating individualized estimates of intervention effects can improve accuracy of T2D risk prediction models, allowing patients to make more informed decisions about prevention strategies.

Individual and combined treatments of 2,4-epibrassinolide (EBR) and calcium chloride (CaCl2) maintain the postharvest quality of baby mustard

Baby mustard is a characteristic vegetable of the Southwest China, and its quality, including appearance quality and nutritional quality, deteriorated during the postharvest senescence process. This study investigated the effects of individual and combined treatments with 2,4-epibrassinolide (EBR) and calcium chloride (CaCl2) on the visual quality and health-promoting compounds of baby mustard stored at room temperature. In terms of appearance, individual treatments with EBR and CaCl2 were more effective than the control and combined treatment in sensory evaluation and weight loss inhibition. All three exogenous treatments maintained the content of pigments, especially individual treatments. The total chlorophyll content was 1.6-, 1.6-, and 1.1-fold higher in EBR-, CaCl2-, and EBR + CaCl2-treated samples than in control samples at 4 days, respectively. In terms of nutritional quality, all three exogenous treatments delayed the decrease in glucosinolates and soluble protein content, with EBR treatment being the most effective in preserving the content of indolic glucosinolates. Additionally, three exogenous treatments effectively maintained antioxidant levels, thereby reducing hydrogen peroxide accumulation. Combined treatment inhibited brassinosteroid signaling, revealing a potential antagonistic relationship between EBR and CaCl2. The results suggest that the three exogenous treatments delayed senescence and preserved the postharvest quality of baby mustard. EBR treatment was the most effective in preserving pigments. This experiment provides potential technical and theoretical basis for the postharvest preservation of baby mustard.

Individualized Treatment Effects of Oxygen Targets in Mechanically Ventilated Critically Ill Adults

Among critically ill adults, randomized trials have not found oxygenation targets to affect outcomes overall. Whether the effects of oxygenation targets differ based on an individual's characteristics is unknown. To determine whether an individual's characteristics modify the effect of lower vs higher peripheral oxygenation-saturation (Spo2) targets on mortality. A machine learning model to predict the effect of treatment with a lower vs higher Spo2 target on mortality for individual patients was derived in the Pragmatic Investigation of Optimal Oxygen Targets (PILOT) trial and externally validated in the Intensive Care Unit Randomized Trial Comparing Two Approaches to Oxygen Therapy (ICU-ROX) trial. Critically ill adults received invasive mechanical ventilation in an intensive care unit (ICU) in the United States between July 2018 and August 2021 for PILOT (n = 1682) and in 21 ICUs in Australia and New Zealand between September 2015 and May 2018 for ICU-ROX (n = 965). Randomization to a lower vs higher Spo2 target group. 28-Day mortality. In the ICU-ROX validation cohort, the predicted effect of treatment with a lower vs higher Spo2 target for individual patients ranged from a 27.2% absolute reduction to a 34.4% absolute increase in 28-day mortality. For example, patients predicted to benefit from a lower Spo2 target had a higher prevalence of acute brain injury, whereas patients predicted to benefit from a higher Spo2 target had a higher prevalence of sepsis and abnormally elevated vital signs. Patients predicted to benefit from a lower Spo2 target experienced lower mortality when randomized to the lower Spo2 group, whereas patients predicted to benefit from a higher Spo2 target experienced lower mortality when randomized to the higher Spo2 group (likelihood ratio test for effect modification P = .02). The use of a Spo2 target predicted to be best for each patient, instead of the randomized Spo2 target, would have reduced the absolute overall mortality by 6.4% (95% CI, 1.9%-10.9%). Oxygenation targets that are individualized using machine learning analyses of randomized trials may reduce mortality for critically ill adults. A prospective trial evaluating the use of individualized oxygenation targets is needed.

Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data.

Identifying patients who benefit from a treatment is a key aspect of personalized medicine, which allows the development of individualized treatment rules (ITRs). Many machine learning methods have been proposed to create such rules. However, to what extent the methods lead to similar ITRs, that is, recommending the same treatment for the same individuals is unclear. In this work, we compared 22 of the most common approaches in two randomized control trials. Two classes of methods can be distinguished. The first class of methods relies on predicting individualized treatment effects from which an ITR is derived by recommending the treatment evaluated to the individuals with a predicted benefit. In the second class, methods directly estimate the ITR without estimating individualized treatment effects. For each trial, the performance of ITRs was assessed by various metrics, and the pairwise agreement between all ITRs was also calculated. Results showed that the ITRs obtained via the different methods generally had considerable disagreements regarding the patients to be treated. A better concordance was found among akin methods. Overall, when evaluating the performance of ITRs in a validation sample, all methods produced ITRs with limited performance, suggesting a high potential for optimism. For non-parametric methods, this optimism was likely due to overfitting. The different methods do not lead to similar ITRs and are therefore not interchangeable. The choice of the method strongly influences for which patients a certain treatment is recommended, drawing some concerns about their practical use.

Mental health interventions for individuals with serious mental illness in the criminal legal system: a systematic review

BackgroundGlobally, individuals with mental illness get in contact with the law at a greater rate than the general population. The goal of this review was to identify and describe: (1) effectiveness of mental health interventions for individuals with serious mental illness (SMI) who have criminal legal involvement; (2) additional outcomes targeted by these interventions; (3) settings/contexts where interventions were delivered; and (4) barriers and facilitating factors for implementing these interventions.MethodsA systematic review was conducted to summarize the mental health treatment literature for individuals with serious mental illness with criminal legal involvement (i.e., bipolar disorder, schizophrenia, major depressive disorder). Searches were conducted using PsychINFO, Embase, ProQuest, PubMed, and Web of Science. Articles were eligible if they were intervention studies among criminal legal involved populations with a mental health primary outcome and provided description of the intervention.ResultsA total of 13 eligible studies were identified. Tested interventions were categorized as cognitive/behavioral, community-based, interpersonal (IPT), psychoeducational, or court-based. Studies that used IPT-based interventions reported clinically significant improvements in mental health symptoms and were also feasible and acceptable. Other interventions demonstrated positive trends favoring the mental health outcomes but did not show statistically and clinically significant changes. All studies reported treatment outcomes, with only 8 studies reporting both treatment and implementation outcomes.ConclusionOur findings highlight a need for more mental health research in this population. Studies with randomized design, larger sample size and studies that utilize non-clinicians are needed.

Uplift modeling to predict individual treatment effects of renal replacement therapy in sepsis-associated acute kidney injury patients

Renal replacement therapy (RRT) is a crucial treatment for sepsis-associated acute kidney injury (S-AKI), but it is uncertain which S-AKI patients should receive immediate RRT. Identifying the characteristics of patients who may benefit the most from RRT is an important task. This retrospective study utilized a public database and enrolled S-AKI patients, who were divided into RRT and non-RRT groups. Uplift modeling was used to estimate the individual treatment effect (ITE) of RRT. The validity of different models was compared using a qini curve. After labeling the patients in the validation cohort, we characterized the patients who would benefit the most from RRT and created a nomogram. A total of 8289 patients were assessed, among whom 591 received RRT, and 7698 did not receive RRT. The RRT group had a higher severity of illness than the non-RRT group, with a Sequential Organ Failure Assessment (SOFA) score of 9 (IQR 6,11) vs. 5 (IQR 3,7). The 28-day mortality rate was higher in the RRT group than the non-RRT group (34.83% vs. 14.61%, p < 0.0001). Propensity score matching (PSM) was used to balance baseline characteristics, 458 RRT patients and an equal number of non-RRT patients were enrolled for further research. After PSM, 28-day mortality of RRT and non-RRT groups were 32.3% vs. 39.3%, P = 0.033. Using uplift modeling, we found that urine output, fluid input, mean blood pressure, body temperature, and lactate were the top 5 factors that had the most influence on RRT effect. The area under the uplift curve (AUUC) of the class transformation model was 0.068, the AUUC of SOFA was 0.018, and the AUUC of Kdigo-stage was 0.050. The class transformation model was more efficient in predicting individual treatment effect. A logistic regression model was developed, and a nomogram was drawn to predict whether an S-AKI patient can benefit from RRT. Six factors were taken into account (urine output, creatinine, lactate, white blood cell count, glucose, respiratory rate). Uplift modeling can better predict the ITE of RRT on S-AKI patients than conventional score systems such as Kdigo and SOFA. We also found that white blood cell count is related to the benefits of RRT, suggesting that changes in inflammation levels may be associated with the effects of RRT on S-AKI patients.

Transdiagnostic and tailored internet intervention to improve mental health among university students: Research protocol for a randomized controlled trial

BackgroundEmerging adulthood is often associated with mental health problems. About one in three university students report symptoms of depression and anxiety that can negatively affect their developmental trajectory concerning work, intimate relationships, and health. This can interfere with academic performance, as mood and anxiety disorders are key predictors of dropout from higher education. A treatment gap exists, where a considerable proportion of students do not seek help for mood and anxiety symptoms. Offering internet interventions to students with mental health problems could reduce the treatment gap, increase mental health, and improve academic performance. A meta-analysis on internet interventions for university students showed small effects for depression and none for anxiety. Larger trials are recommended to further explore effects of guidance, transdiagnostic approaches, and individual treatment components.MethodsThis study will offer 1200 university students in Sweden participation in a three-armed randomized controlled trial (RCT) evaluating a guided or unguided transdiagnostic internet intervention for mild to moderate depression and anxiety, where the waitlist control group accesses the intervention at 6-month follow-up. Students reporting suicidal ideation/behaviors will be excluded and referred to treatment within the existing healthcare system. An embedded study within the trial (SWAT) will assess at week 3 of 8 whether participants in the guided and unguided groups are at higher risk of failing to benefit from treatment. Those at risk will be randomized to an adaptive treatment strategy, or to continue the treatment as originally randomized. Primary outcomes are symptoms of depression and anxiety. Follow-ups will occur at post-treatment and at 6-, 12-, and 24-month post-randomization. Between-group outcome analyses will be reported, and qualitative interviews about treatment experiences are planned.DiscussionThis study investigates the effects of a transdiagnostic internet intervention among university students in Sweden, with an adaptive treatment strategy employed during the course of treatment to minimize the risk of treatment failure. The study will contribute knowledge about longitudinal trajectories of mental health and well-being following treatment, taking into account possible gender differences in responsiveness to treatment. With time, effective internet interventions could make treatment for mental health issues more widely accessible to the student group.

Few-Shot Domain-Adaptive Anomaly Detection for Cross-Site Brain Images.

Early screening is essential for effective intervention and treatment of individuals with mental disorders. Functional magnetic resonance imaging (fMRI) is a noninvasive tool for depicting neural activity and has demonstrated strong potential as a technique for identifying mental disorders. Due to the difficulty in data collection and diagnosis, imaging data from patients are rare at a single site, whereas abundant healthy control data are available from public datasets. However, joint use of these data from multiple sites for classification model training is hindered by cross-domain distribution discrepancy and diverse label spaces. Herein, we propose few-shot domain-adaptive anomaly detection (FAAD) to achieve cross-site anomaly detection of brain images based on only a few labeled samples. We introduce domain adaptation to mitigate cross-domain distribution discrepancy and jointly align the general and conditional feature distributions of imaging data across multiple sites. We utilize fMRI data of healthy subjects in the Human Connectome Project (HCP) as the source domain and fMRI images from six independent sites, including patients with mental disorders and demographically matched healthy controls, as target domains. Experiments showed the superiority of the proposed method compared with binary classification, traditional anomaly detection methods, and several recognized domain adaptation methods.

Side effects of treatment with tyrosine kinase inhibitors in patients with chronic myeloid leukemia and the occurrence of anxiety symptoms.

The study aims to check whether individual side effects of treatment with TKIs in patients suffering from CML may contribute to the occurrence of anxiety symptoms. In addition, it was decided to check whether there were any relationships between age, gender, duration of treatment, and the intensity of anxiety, divided by the occurrence of individual side effects. The study involved 91 patients and was conducted at the Hematology Clinic of the University Hospital in Krakow. The following questionnaires were used: created by the author, David Goldberg Questionnaire GHQ-28, and the four-dimensional 4DSQ Questionnaire. The most frequently mentioned side effects of treatment were bone and joint pain, muscle cramps and pain, water retention, and fatigue. The mean duration of the disease was ten years. Our research showed that fatigue, nausea/indigestion, frequent infections, bone and joint pain, abdominal pain, and loss of appetite were the most common side effects of TKI treatment, which resulted in increased anxiety symptoms. The work of doctors, psychologists, and pharmaceutical companies on reducing/alleviating side effects may in the future affect a better quality of life for these patients. Early detection of severe anxiety and taking appropriate steps can prevent the emergence of more significant disorders. In addition, several years of attempts to discontinue treatment with some TKIs (imatinib and nilotinib) in patients who achieve a profound molecular response may improve their mental condition.

A real-time patient-specific treatment strategy for enhanced external counterpulsation.

Diastolic/systolic blood pressure ratio (D/S) ≥ 1.2 is the gold standard of enhanced external counterpulsation (EECP) treatment, but it does not show a clear clinical correspondence with the configuration of the EECP mode. As such, a single target results in different treatment effects in different individuals. The local haemodynamic effect (wall shear stress, WSS) of EECP on vascular endothelial cells is conducive to promote the growth of collateral circulation vessels and restore the blood supply distal to the stenosis lesion. Considering the haemodynamic effects of WSS on human arteries, this study developed a real-time patient-specific treatment strategy of EECP for patients with cardio-cerebrovascular diseases. Based on patient-specific haemodynamic data from 113 individuals, an optimization algorithm was developed to achieve the individualization of a 0D lumped-parameter model of the human circulatory system, thereby simulating the patient-specific global haemodynamic effects. 0D/3D coupled cardio-cerebrovascular models of two subjects were established to simulate the local WSS. We then established statistical models to evaluate clinically unmeasurable WSS based on measurable global haemodynamic indicators. With the aim of attaining appropriate area- and time-averaged WSS (ATAWSS, 4-7 Pa), as evaluated by global haemodynamic indicators, a closed-loop feedback tuning method was developed to provide patient-specific EECP treatment strategies. Results showed that for clinical data collected from 113 individuals, the individualized 0D model can accurately simulate patient-specific global haemodynamic effects (average error <5%). Based on two subjects, the statistical models can be used to evaluate local ATAWSS (error <6%) for coronary arteries and for cerebral arteries. An EECP mode planned by the patient-specific treatment strategy can promote an appropriate ATAWSS within a 16 s calculation time. The real-time patient-specific treatment strategy of EECP is expected to improve the long-term outcome for each patient and have potential clinical significance.

The Use of Clear Aligners in Multi-Segmental Maxillary Surgery: A Case-Control Study in Cleft Lip and Palate and Skeletal Class III Patients.

Background: Maxillary hypoplasia and mandibular asymmetry may be corrected with orthognathic surgery after growth completion. For most stable results, some cases may require segmental Le Fort I osteotomies. Unfortunately, Invisalign's software (6.0 version) still has some inherent limitations in predicting outcomes for complex surgeries. This study explores the potential of aligners, particularly in multiple-piece maxillary osteotomies in both cleft and non-cleft patients. Method: Thirteen patients who underwent pre-surgical treatment with Invisalign were retrospectively matched in terms of diagnosis, surgical procedure, and orthodontic complexity with thirteen patients treated using fixed appliances. Virtual curves following the lower arch were employed to guide the correct pre-surgical positions of the upper teeth with a simple superimposition technique. The amount of impressions required in both groups to achieve satisfactory pre-surgical alignment of the segmented arches was compared. Results: one or no refinement phases were needed in the Invisalign group to reach an acceptable pre-surgical occlusion, while the amount of pre-surgical impressions needed to reach adequate coordination with fixed appliance treatment was slightly higher (p > 0.05). Conclusions: it appears that clear aligner could serve as an effective treatment for individuals necessitating segmental Le Fort I osteotomies when aided by the suggested simple superimposition approach.

Effects of gender affirming hormone treatment in transgender individuals - a retrospective cohort study.

Gender affirming hormone treatment (GAHT) results in measurable changes to anthropomorphic, biochemical and hormonal variables that are important to patients and their health care professionals to guide treatment. This study sought to quantify changes which occur in response to initiation of GAHT. We performed a retrospective cohort study of outcomes in transgender and gender diverse (TGD) patients starting GAHT. The primary outcome was proportion of patients and time required to achieve optimal hormone levels after commencement of GAHT. Additional analyses were performed to assess whether clinical and biochemical factors were associated with likelihood of achieving target hormone levels. 345 patients were included. Among 154 transmasculine individuals, 116 (75%) achieved a testosterone level >10 nmol/L during follow-up at a median of 4-months (IQR 4-9). No clinical or biochemical factors were significantly associated with likelihood of reaching therapeutic testosterone concentrations in transmen. Among 191 transfeminine individuals, 131 (72%) achieved a testosterone level <2.0 nmol/L during follow-up at a median of 4-months (IQR 3-9). Factors associated with increased likelihood of testosterone suppression were use of subdermal estradiol implants as well as cyproterone acetate as an androgen antagonist. Changes in differing directions were observed during repeated measures of lipids, liver function, and blood count between transmasculine and transfeminine individuals, reflecting the important effects of testosterone and estradiol on biochemical tests ordered as part of routine clinical care. Most TGD patients achieve target testosterone levels within 9 months of GAHT initiation. Adverse effects of GAHT are rare, and are usually mild.

Antisocial personality disorder and therapeutic pessimism - how can mentalization-based treatment contribute to an increased therapeutic optimism among health professionals?

Antisocial personality disorder (ASPD) is associated with therapeutic pessimism among health professionals. Several variables are associated with obstacles in therapist's willingness to treat ASPD. Variables that are relevant are (i) confusion associated with the term ASPD, (ii) characteristics of the disorder, (iii) attitudes, experiences, and knowledge clinicians possess, and (iv) insufficient management of countertransference. We assume that therapeutic pessimism is related to the lack of evidence-based, effective treatment for individuals with ASPD. This is problematic because ASPD is associated with large socio-economic costs and considerable suffering for the individual and the society. Mentalization-based treatment (MBT) was developed in treating borderline personality disorder (BPD) and is now considered an effective treatment for this group. Mentalization is defined as the process by which individuals make sense of themselves and others in terms of subjective states and mental processes. This ability affects an individual's psychological functioning, mental health, self-organization, and interpersonal relationships. The overall goal of MBT is to strengthen the individual's mentalizing abilities and facilitate more adaptive handling of problematic, internal states. Recently, a version of MBT tailored for individuals with ASPD (MBT-ASPD) has been developed. The purpose of this review is to investigate how MBT-ASPD relates to the major obstacles that contribute to the therapeutic pessimism toward this group. Despite a limited evidence base, preliminary studies indicate promising results for MBT-ASPD. More research is still required, this review suggests MBT-ASPD can contribute to increased therapeutic optimism and demonstrate specific characteristics of MBT-ASPD that contribute to management of therapeutic pessimism.

Exercise reconditioning in the post-acute phase of COVID-19 rehabilitation in patients with chronic respiratory insufficiency: a retrospective observational study

INTRODUCTION: The COVID-19 pandemic has had a profound impact on a global scale, affecting various aspects of society, health, and well-being. It has strained healthcare systems and led to social and welfare repercussions. In the context of post-acute COVID-19 rehabilitation, there is a need to explore effective interventions for individuals, particularly those with chronic respiratory insufficiency. This study aims to evaluate the effectiveness of exercise reconditioning as a rehabilitation strategy in this specific population METHODS: A retrospective observational study was conducted at the Rehabilitation Unit in an Italian hospital between March 2020 and May 2022. The study included individuals who had been diagnosed with COVID-19 pneumonia, required hospitalization in the COVID-19 unit or intensive care unit (ICU) due to severe respiratory failure and with “post-COVID pathology syndrome” (PCS) picture. Various assessments, including the 6 Minutes Walking Test (6MWT), were conducted to determine exercise capacity. A personalized reconditioning program based on international guidelines was designed for each patient, focusing on aerobic training. Measurements of vital signs were taken during training sessions. RESULTS: A total of 24 individuals, with a mean age of 65.41 years, were included in the study. The average duration of hospitalization in the rehabilitation department was 53.17 days. Most participants had pre-existing respiratory and non-respiratory pathologies. All individuals developed COVID-19 interstitial pneumonia, and some required intensive interventions such as intubation or ECMO support. Pulmonary fibrosis and Critical Illness Myopathy (CIM) were observed in a significant portion of the participants. Significant improvements were observed in the 6MWT distance traveled, Functional Independence Measure (FIM) scale score, fraction of inhaled oxygen (FiO2), and dyspnea scores. Perceived exerction measures also showed positive changes. DISCUSSION AND CONCLUSION: The findings of this study indicate that personalized reconditioning plan is effective in improving the functional capacity and overall condition and quality of life of individuals with post-COVID pathology syndrome. These findings highlight the importance of an interdisciplinary approach and tailored rehabilitation programs in this population. Further research is needed to explore the long-term effects of exercise reconditioning in this population.

Optimizing adjuvant treatment options for patients with glioblastoma.

This study focused on minimizing the costs and toxic effects associated with unnecessary chemotherapy. We sought to optimize the adjuvant therapy strategy, choosing between radiotherapy (RT) and chemoradiotherapy (CRT), for patients based on their specific characteristics. This selection process utilized an innovative deep learning method. We trained six machine learning (ML) models to advise on the most suitable treatment for glioblastoma (GBM) patients. To assess the protective efficacy of these ML models, we employed various metrics: hazards ratio (HR), inverse probability treatment weighting (IPTW)-adjusted HR (HRa), the difference in restricted mean survival time (dRMST), and the number needed to treat (NNT). The Balanced Individual Treatment Effect for Survival data (BITES) model emerged as the most effective, demonstrating significant protective benefits (HR: 0.53, 95% CI, 0.48-0.60; IPTW-adjusted HR: 0.65, 95% CI, 0.55-0.78; dRMST: 7.92, 95% CI, 7.81-8.15; NNT: 1.67, 95% CI, 1.24-2.41). Patients whose treatment aligned with BITES recommendations exhibited notably better survival rates compared to those who received different treatments, both before and after IPTW adjustment. In the CRT-recommended group, a significant survival advantage was observed when choosing CRT over RT (p < 0.001). However, this was not the case in the RT-recommended group (p = 0.06). Males, older patients, and those whose tumor invasion is confined to the ventricular system were more frequently advised to undergo RT. Our study suggests that BITES can effectively identify GBM patients likely to benefit from CRT. These ML models show promise in transforming the complex heterogeneity of real-world clinical practice into precise, personalized treatment recommendations.

The Effects of Cognitive Interventions in Individuals with Chronic Respiratory Diseases: A Systematic Review

Purpose: To evaluate the effects of cognitive interventions (CIs) on cognitive function, health-related quality of life (HRQoL), self-management, physical activity, physical function, and psychosocial outcomes among individuals with chronic respiratory diseases (CRDs). Methods: The methods adhered to the Cochrane Handbook for Systematic Review of Interventions for data analysis and synthesis guidelines. Additionally, the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were followed for the reporting of data. Database searches were conducted from inception to May 2023 across Medline, Embase, Emcare, PsycINFO, Scopus, and CINAHL. Included studies evaluated the effects of cognitive training, cognitive behavioural therapy, and transcranial brain stimulation in adults with CRDs. Studies were evaluated using the Cochrane Risk of Bias 2 tool, Risk of Bias in Non-Randomized Studies of Interventions, and Grading of Recommendations, Assessment, Development, and Evaluation. Results: Five eligible studies with 347 participants were included and showed very low-quality evidence of inconsistent improvements in cognition and no difference between groups for HRQoL and self-management; low evidence for no difference between groups in physical function; moderate evidence for no difference between groups in physical activity and psychosocial outcomes. Conclusion: The effects of CIs on cognitive function in people with CRDs are inconclusive.

A Bayesian approach for investigating the pharmacogenetics of combination antiretroviral therapy in people with HIV.

Combination antiretroviral therapy (ART) with at least three different drugs has become the standard of care for people with HIV (PWH) due to its exceptional effectiveness in viral suppression. However, many ART drugs have been reported to associate with neuropsychiatric adverse effects including depression, especially when certain genetic polymorphisms exist. Pharmacogenetics is an important consideration for administering combination ART as it may influence drug efficacy and increase risk for neuropsychiatric conditions. Large-scale longitudinal HIV databases provide researchers opportunities to investigate the pharmacogenetics of combination ART in a data-driven manner. However, with more than 30 FDA-approved ART drugs, the interplay between the large number of possible ART drug combinations and genetic polymorphisms imposes statistical modeling challenges. We develop a Bayesian approach to examine the longitudinal effects of combination ART and their interactions with genetic polymorphisms on depressive symptoms in PWH. The proposed method utilizes a Gaussian process with a composite kernel function to capture the longitudinal combination ART effects by directly incorporating individuals' treatment histories, and a Bayesian classification and regression tree to account for individual heterogeneity. Through both simulation studies and an application to a dataset from the Women's Interagency HIV Study, we demonstrate the clinical utility of the proposed approach in investigating the pharmacogenetics of combination ART and assisting physicians to make effective individualized treatment decisions that can improve health outcomes for PWH.

The impact of submucosal PRP injection on wound healing after endoscopic sinus surgery: a randomized clinical trial

PurposeChronic rhinosinusitis (CRS) is a prevalent chronic disease observed on a global scale. The utilization of endoscopic sinus surgery (ESS) has gained significant recognition as an effective intervention for individuals with CRS and nasal polyps who have not responded to conventional treatments. The need (or not) for revision surgery frequently relies on the promotion of optimal wound healing. The impact of platelet-rich plasma (PRP) on tissue healing has been extensively examined in various surgical fields.MethodsThe present prospective study involved 30 patients suffering with nasal polyposis who underwent endoscopic sinus surgery. 15 patients were assigned to the PRP group, and 15 patients to the control group. The clinical follow-up of the patients took place at specific intervals, at weeks 1, 2, 3, 4, 8, and 12 after the surgical procedure. The evaluator identified the existence of adhesions, crusting, bleeding, granulation and infection using a visual analogue scale score. The patients also completed the SNOT 22 questionnaire prior to surgery and at each postoperative visit.ResultsThe present study observed a lower incidence of adhesion, infection, hemorrhage and granulation in the PRP group. Furthermore, a statistically significant difference was detected between the groups.ConclusionBased on the findings of the present investigation, it seems that platelet-rich plasma (PRP) is beneficial on wound healing during the early stages following the surgical procedure. The technique is characterized by its limited invasiveness, which contributes to its low risk profile and the achievement of clinically good outcomes.