Factors Associated With Quality-of-Dying-and-Death Classes Among Critically Ill Patients.

Importance: Improving end-of-life care in the intensive care unit (ICU) is a priority, but clinically modifiable factors of quality of dying and death (QODD) are seldom identified. Objectives: To comprehensively identify factors associated with QODD classes of dying ICU patients, emphasizing clinically modifiable factors based on the integrative framework of factors associated with for bereavement outcomes. Design, Setting, and Participants: This observational cohort study was conducted at medical ICUs of 2 Taiwanese medical centers from January 2018 to March 2020 with follow-up through December 2022. Eligible participants included primary family surrogates responsible for decision making for critically ill ICU patients at high risk of death (Acute Physiology and Chronic Health Evaluation II score >20) but who survived more than 3 days after ICU admission. Data analysis was conducted from July to September 2023. Main Outcomes and Measures: QODD was measured by the 23-item ICU-QODD questionnaire. Factors associated with patient membership in 4 previously determined QODD classes (high, moderate, poor to uncertain, and worst) were examined using a 3-step approach for latent class modeling with the high QODD class as the reference category. Results: A total of 309 family surrogates (mean [SD] age, 49.83 [12.55] years; 184 women [59.5%] and 125 men [40.5%]) were included in the study. Of all surrogates, 91 (29.4%) were the patients' spouse and 66 (53.7%) were the patients' adult child. Patient demographics were not associated with QODD class. Two family demographics (age and gender), relationship with the patient (spousal or adult-child), and length of ICU stay were associated with QODD classes. Patients of surrogates perceiving greater social support were less likely to be in the poor to uncertain (adjusted odds ratio [aOR], 0.89; 95% CI, 0.83-0.94) and worst (aOR, 0.92; 95% CI, 0.87-0.96) QODD classes. Family meetings were associated with the poor to uncertain QODD class (aOR, 8.61; 95% CI, 2.49-29.74) and worst QODD class (aOR, 7.28; 95% CI, 1.37-38.71). Death with cardiopulmonary resuscitation was associated with the worst QODD class (aOR, 7.51; 95% CI, 1.12-50.25). Family presence at patient death was uniformly negatively associated with the moderate QODD class (aOR, 0.16; 95% CI, 0.05-0.54), poor to uncertain QODD class (aOR, 0.21; 95% CI, 0.05-0.82), and worst QODD class (aOR, 0.08; 95% CI, 0.02-0.38). Higher family satisfaction with ICU care was negatively associated with the poor to uncertain QODD class (aOR, 0.93; 95% CI, 0.87-0.98) and worst QODD class (aOR, 0.86; 95% CI, 0.81-0.92). Conclusions and Relevance: In this cohort study of critically ill patients and their family surrogates, modifiable end-of-life ICU-care characteristics played a more significant role in associations with patient QODD class than did immutable family demographics, preexisting family health conditions, patient demographics, and patient clinical characteristics, thereby illuminating actionable opportunities to improve end-of-life ICU care.

Multimodal training with dual-task enhances immediate and retained effects on dual-task effects of gait speed not by cognitive-motor trade-offs in stroke survivors: a randomized controlled trial.

PURPOSE: Individuals who have experienced stroke may benefit from dual-task related training to improve gait speed performance. Whether noted improvements reflect true effects on gait or cognitive-motor trade-offs still remains unclear. Therefore, this study aimed to investigate the effects of dual-task training on dual-task effects of both walking and cognitive domains in stroke survivors. MATERIALS AND METHODS: Forty-four individuals with stroke were randomized to dual-task or single-task training groups. Both groups exercised three 60-minute sessions per week for 4 weeks. The primary outcomes were dual-task effects on gait speed and cognitive score. Outcomes were assessed before and after the intervention and 1-month follow-up. RESULTS: While both groups exhibited improvement in absolute gait speed under dual-task conditions, the dual-task training group demonstrated superior results by providing an additional gain on dual-task effects of gait speed. Compared to single-task training, dual-task training exhibited a significant improvement in dual-task effects of gait speed at post-treatment and follow-up. Regarding the dual-task effects on cognitive scores, no significant differences within and between groups after training were observed. CONCLUSION: Dual-task training enhances immediate and retained effects on the dual-task effects of gait speed in individuals with stroke, not by cognitive-motor trade-offs. TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov. CLINICALTRIALS.GOV IDENTIFIER: NCT02686515.

Dual-task interference during walking has important consequences for stroke survivors to walk safely.Multimodal training with dual-task enhances immediate and retained effects on the dual-task effects of gait speed in individuals with stroke, not by cognitive-motor trade-offs.Clinicians are encouraged to incorporate multimodal training with dual-task into the exercise routines to enhance walking under dual-task conditions in stroke survivors.

Associations Between Family-Assessed Quality-of-Dying-and-Death Latent Classes and Bereavement Outcomes for Family Surrogates of ICU Decedents.

OBJECTIVES: To examine associations between family surrogates' bereavement outcomes and four previously determined quality of dying and death (QODD) latent classes (high, moderate, poor-to-uncertain, and worst). DESIGN: Prospective, longitudinal, observational study. SETTING: Medical ICUs at two academically affiliated medical centers in Taiwan. PATIENTS/PARTICIPANTS: Three hundred nine family surrogates responsible for decision-making for critically ill patients at high risk of death (Acute Physiology and Chronic Health Evaluation II scores > 20) from a disease. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Participants were assessed by the depression and anxiety subscales of the Hospital Anxiety and Depression Scale, the Impact of Event Scale-Revised, 11 items of the Prolonged Grief Disorder (PGD) scale, and the Medical Outcomes Study 36-Item Short-Form Health Survey at 1, 3, 6, 13, 18, and 24 months post-loss. We simultaneously examined associations of four QODD latent classes with physical and mental health-related quality of life (HRQOL) and symptoms of anxiety, depression, post-traumatic stress disorder (PTSD), and PGD assessed over 24 bereavement months using multivariate hierarchical linear modeling. Surrogates' distinct QODD latent classes assessed at 1-month post-loss were significantly associated with bereavement outcomes, except for physical HRQOL and PGD symptoms. Significantly more depressive symptoms and worse mental HRQOL (ß [95% CI]) were reported by bereaved surrogates in the moderate (1.958 [1.144-2.772], -2.245 [-3.961 to -0.529]), poor-to-uncertain (2.224 [1.438-3.010], -7.026 [-8.683 to -5.369]), and worst (2.081 [1.215-2.964], -4.268 [-6.096 to -2.440]) QODD classes than those in the high QODD class. Bereaved surrogates in the moderate (2.095 [1.392-2.798]) and poor-to-uncertain (0.801 [0.123-1.480]) QODD classes reported more anxiety symptoms, whereas those in the poor-to-uncertain QODD class suffered more PTSD symptoms (2.889 [1.005-4.774]) than those in the high QODD class. CONCLUSIONS: The four distinct QODD latent classes were significantly associated with ICU family surrogates' bereavement outcomes, suggesting targets to improve end-of-life care quality in ICUs.

Quality of dying and death in intensive care units: family satisfaction.

OBJECTIVE: This cohort study identified patterns/classes of surrogates' assessment of their relative's quality of dying and death (QODD) and to evaluate their associations with family satisfaction with intensive care unit (ICU) care. METHODS: We identified QODD classes through latent class analysis of the frequency component of the QODD questionnaire and examined their differences in summary questions on the QODD and scores of the Family Satisfaction in the ICU questionnaire among 309 bereaved surrogates of ICU decedents. RESULTS: Four distinct classes (prevalence) were identified: high (41.3%), moderate (20.1%), poor-to-uncertain (21.7%) and worst (16.9%) QODD classes. Characteristics differentiate these QODD classes including physical symptom control, emotional preparedness for death, and amount of life-sustaining treatments (LSTs) received. Patients in the high QODD class had optimal physical symptom control, moderate-to-sufficient emotional preparedness for death and few LSTs received. Patients in the moderate QODD class had adequate physical symptom control, moderate-to-sufficient emotional preparedness for death and the least LSTs received. Patients in the poor-to-uncertain QODD class had inadequate physical symptom control, insufficient-uncertain emotional preparedness for death and some LSTs received. Patients in the worst QODD class had poorest physical symptom control, insufficient-to-moderate emotional preparedness for death and substantial LSTs received. Bereaved surrogates in the worst QODD class scored significantly lower in evaluations of the patient's overall QODD, and satisfaction with ICU care and decision-making process than those in the other classes. CONCLUSIONS: The identified distinct QODD classes offer potential actionable direction for improving quality of end-of-life ICU care.

Recommended assessment and management of sleep disordered breathing in patients with atrial fibrillation, hypertension and heart failure: Taiwan Society of Cardiology/Taiwan Society of sleep Medicine/Taiwan Society of pulmonary and Critical Care Medicine joint consensus statement.

Sleep disordered breathing (SDB) is highly prevalent and may be linked to cardiovascular disease in a bidirectional manner. The Taiwan Society of Cardiology, Taiwan Society of Sleep Medicine and Taiwan Society of Pulmonary and Critical Care Medicine established a task force of experts to evaluate the evidence regarding the assessment and management of SDB in patients with atrial fibrillation (AF), hypertension and heart failure with reduced ejection fraction (HFrEF). The GRADE process was used to assess the evidence associated with 15 formulated questions. The task force developed recommendations and determined strength (Strong, Weak) and direction (For, Against) based on the quality of evidence, balance of benefits and harms, patient values and preferences, and resource use. The resulting 11 recommendations are intended to guide clinicians in determining which the specific patient-care strategy should be utilized by clinicians based on the needs of individual patients.

Expert consensus on the diagnosis, treatment, and prevention of respiratory syncytial virus infections in children.

BACKGROUND: Respiratory syncytial virus (RSV) is the leading global cause of respiratory infections and is responsible for about 3 million hospitalizations and more than 100,000 deaths annually in children younger than 5 years, representing a major global healthcare burden. There is a great unmet need for new agents and universal strategies to prevent RSV infections in early life. A multidisciplinary consensus development group comprising experts in epidemiology, infectious diseases, respiratory medicine, and methodology aims to develop the current consensus to address clinical issues of RSV infections in children. DATA SOURCES: The evidence searches and reviews were conducted using electronic databases, including PubMed, Embase, Web of Science, and the Cochrane Library, using variations in terms for "respiratory syncytial virus", "RSV", "lower respiratory tract infection", "bronchiolitis", "acute", "viral pneumonia", "neonatal", "infant" "children", and "pediatric". RESULTS: Evidence-based recommendations regarding diagnosis, treatment, and prevention were proposed with a high degree of consensus. Although supportive care remains the cornerstone for the management of RSV infections, new monoclonal antibodies, vaccines, drug therapies, and viral surveillance techniques are being rolled out. CONCLUSIONS: This consensus, based on international and national scientific evidence, reinforces the current recommendations and integrates the recent advances for optimal care and prevention of RSV infections. Further improvements in the management of RSV infections will require generating the highest quality of evidence through rigorously designed studies that possess little bias and sufficient capacity to identify clinically meaningful end points.

An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate.

Next-generation sequencing (NGS) genomic data offer valuable high-throughput genomic information for computational applications in medicine. Using genomic data to identify disease-associated genes to estimate cancer mortality risk remains challenging regarding to computational efficiency and risk integration. For determining mortality-related genes, we propose an information fusion system based on a fuzzy system to fuse the numerous deep-learning-based risk scores, consider the significance of features related to time-varying effects and risk stratifications, and interpret the directional relationship and interaction between outcome and predictors. Fuzzy rules were implemented to integrate the considerations mentioned above by merging all the risk score models to achieve advanced risk estimation. The genomic data of head and neck squamous cell carcinoma (HNSCC) were used to evaluate the performance of the proposed computational approach. The results indicated that the proposed computational approach exhibited optimal ability to identify mortality risk-related genes in HNSCC patients. The results also suggest that HNSCC mortality is associated with cancer inflammatory response, the interleukin-17A signaling pathway, stellate cell activation, and the extracellular-regulated protein kinase five signaling pathway, which might offer new therapeutic targets HNSCC through immunologic or antiangiogenic mechanisms. The proposed information fusion system can promote the determination of high-risk genes related to cancer mortality. This study contributes a valid cancer mortality risk estimate that can identify mortality-related genes.

Effects of sodium chloride substitutes on physicochemical properties of salted beef.

In this study, beef was marinated with different low-sodium salt substitutes and heated and aged by employing superheated steam roasting and traditional roasting to investigate the effects of the various substitutes on the physicochemical properties, texture profile, sensory properties, volatile compounds, microstructural characteristics, and safety of cured and aged beef. Twenty kilograms of beef were arbitrarily divided into five treatments and pickled with different low-sodium salt substitutes. The results revealed no significant differences in saltiness, physicochemical characteristics, texture profile, or volatile compounds between the T2 and T3 and T1 (100% NaCl, T1; 75% KCl + 25% NaCl, T2; 50% KCl + 50% NaCl, T3) samples. Furthermore, the T4 and T5 (50% NaCl + 25% KCl + 20% MgCl2 + 5% CaCl2, T4; 100% yeast extract, T5) samples had lower saltiness than the T1 sample. The plasmolysis percentage and osmotic pressure of the T2 and T3 samples were lower than those of the T1 sample. Therefore, reducing sodium by substituting NaCl with 50% KCl or 75% KCl maintained an acceptable sensory and safety profile for beef consumption.

Comorbid Prolonged Grief, PTSD, and Depression Trajectories for Bereaved Family Surrogates.

Importance: Family surrogates of patients who die in an intensive care unit (ICU) are at risk of cooccurring prolonged grief disorder (PGD), posttraumatic stress disorder (PTSD), and depressive disorder during bereavement, but symptom trajectories are often explored individually. Objectives: To simultaneously examine and determine co-occurrence of PGD, PTSD, and depressive symptom trajectories. Design, Setting, and Participants: This cohort study was conducted in ICUs of 2 Taiwanese medical centers from January 2018 to March 2020, with follow-up through July 2022. Participants included surrogates responsible for decision-making who provided data 6 to 24 months after the death of their loved one. Data were analyzed from August to December 2022. Main Outcomes and Measures: PGD was assessed with the 11 grief symptom items of the PG-13; PTSD, the Impact of Event Scale-Revised; and depressive symptoms, the depression subscale of the Hospital Anxiety and Depression Scale at 6, 13, 18, and 24 months after the death. Latent growth mixture modeling was conducted to identify distinct trajectories, and joint latent class analysis was used to assess joint patterns of trajectories. Results: A total of 303 participants were included, with most younger than 56 years (207 participants [68.3%]), female (177 participants [58.4%]), and married (228 participants [75.2%]), and their relationship with the patient was mostly spouse (88 participants [29.0%]) or adult child (166 participants [54.8%]). Three trajectories were identified each for PGD, PTSD, and depressive symptoms. A resilience trajectory was predominant across PGD (253 participants [83.5%]), PTSD (250 participants [82.5%]), and depressive (200 participants [66.0%]) symptoms. Second most common was a recovery trajectory identified for PGD (36 participants [11.9%]) and PTSD (41 participants [13.5%]) symptoms, while for depressive symptoms, a moderate trajectory (72 participants [23.8%]) signified persistent moderate distress. A chronic trajectory characterized by persistently high distress was identified for PGD (14 participants [4.6%]) and depressive (31 participants [10.2%]) symptoms, whereas a unique delayed-onset trajectory (12 participants [4.0%]) was identified for PTSD symptoms. Most family surrogates (228 participants [75.2%]) experienced cooccurring PGD, PTSD, and depressive symptom trajectories, but multiple patterns were discordant. Symptom trajectories cooccurred in joint patterns: resilient (247 participants [81.5%]), recovered (43 participants [14.1%]), and distressed (14 participants [4.5%]). These patterns were characterized by high conditional probabilities for the resilience (PGD, 0.999; PTSD, 0.999; depressive, 0.804), recovery (PGD, 0.854; PTSD, 0.890; depressive, 0.588), and chronic (PGD, 0.921; PTSD, 0.789; depressive, 0.980) symptom trajectories. Conclusions and Relevance: In this cohort study, grief-related psychological symptoms evolved in complex ways during ICU bereavement, as characterized by heterogeneous trajectories. Some ICU bereaved surrogates experienced persistent elevated PGD, PTSD, and depressive symptoms individually or conjointly, underscoring the importance of early screening to identify this population at high risk of comorbid psychological distress trajectories.

Risk factors associated with periodontal disease and its impact on quality of life among pregnant women.

BACKGROUND: Periodontal disease during pregnancy affects maternal oral health and increases the risk of adverse pregnancy outcomes. However, studies on the risk factors for periodontal disease and its impact on oral health-related quality of life in pregnant women in Taiwan are lacking. This present study aimed to identify the risk factors associated with periodontal disease during pregnancy and examine the relationship of periodontal disease with oral health-related quality of life among pregnant women. METHODS: This study was conducted in a large medical centre in northern Taiwan. Eighty-four participants completed a periodontal examination by dentists as well as structured questionnaires, including the Oral Health Impact Profile-14, demographics, obstetric history, dietary habits, and oral hygiene behaviours. Multivariate logistic regression was used to determine the risk factors associated with periodontal disease and a t-test was used to compare the difference in oral health-related quality of life between pregnant women with and without periodontal disease. RESULTS: Fifty participants (59.5%) had periodontal diseases. Risk factors for periodontal disease included eating out for lunch, consuming beverages, brushing less than three times per day, and not receiving regular professional dental cleanings. The oral health-related quality of life was significantly poorer in pregnant women with periodontal disease than in those without. CONCLUSIONS: The risk factors for periodontal disease, including eating out for lunch, drinking beverages, brushing teeth less, and not regular dental cleaning, provide convincing evidence for pregnant women to maintain good oral hygiene to prevent periodontal disease and improve oral health-related quality of life.

Pregnancy can cause poor mouth health. Expectant mothers with gum disease might face problems such as low birth weight and premature birth. This study found that certain factors can worsen gum disease during pregnancy. These include eating out for lunch, drinking sugary or acidic drinks, brushing their teeth less than three daily, and skipping regular teeth cleaning by a dentist. Pregnant women with gum disease also reported a lower quality of life related to oral health compared to those without it. Healthcare providers should educate pregnant women about oral health maintenance. Emphasize the importance of professional dental cleanings every three months, frequent tooth brushing, avoiding sugary and acidic drinks, and reducing eating out for lunch. Future research should explore additional ways to support pregnant women in this regard.

Prevalence of Carbapenem Resistance Genes among Acinetobacter baumannii Isolated from a Teaching Hospital in Taiwan.

The problem of antibiotic-resistant strains has become a global public issue; antibiotic resistance not only limits the choice of treatments but also increases morbidity, mortality and treatment costs. The multi-drug resistant Acinetobacter baumannii is occurring simultaneously in hospitals and has become a major public health issue worldwide. Although many medical units have begun to control the use of antibiotics and paid attention to the issue of drug resistance, understanding the transmission pathways of clinical drug-resistant bacteria and drug-resistant mechanisms can be effective in real-time control and prevent the outbreak of antibiotic-resistant pathogens. In this study, a total of 154 isolates of Acinetobacter baumannii obtained from Chia-Yi Christian Hospital in Taiwan were collected for specific resistance genotyping analysis. Ten genes related to drug resistance, including blaOXA-51-like, blaOXA-23-like, blaOXA-58-like, blaOXA-24-like, blaOXA-143-like, tnpA, ISAba1, blaPER-1, blaNDM and blaADC, and the repetitive element (ERIC2) were selected for genotyping analysis. The results revealed that 135 A. baumannii isolates (87.6%) carried the blaOXA-51-like gene, 4.5% of the isolates harbored the blaOXA-23-like gene, and 3.2% of the isolates carried the blaOXA-58-like gene. However, neither the blaOXA-24-like nor blaOXA-143-like genes were detected in the isolates. Analysis of ESBL-producing strains revealed that blaNDM was not found in the test strains, but 38.3% of the test isolates carried blaPER-1. In addition, blaADC, tnpA and ISAba1genes were found in 64.9%, 74% and 93% of the isolates, respectively. Among the carbapenem-resistant strains of A. baumannii, 68% of the isolates presenting a higher antibiotic resistance carried both tnpA and ISAba1 genes. Analysis of the relationship between their phenotypes (antibiotic resistant and biofilm formation) and genotypes (antibiotic-resistant genes and biofilm-related genes) studied indicated that the bap, ompA, ISAba1and blaOXA-51 genes influenced biofilm formation and antibiotic resistance patterns based on the statistical results of a hierarchical clustering dendrogram. The analysis of the antibiotic-resistant mechanism provides valuable information for the screening, identification, diagnosis, treatment and control of clinical antibiotic-resistant pathogens, and is an important reference pointer to prevent strains from producing resistance.

Behavioral and Psychological Factors in Buffering Diabetes-related Disability Development.

BACKGROUND: Diabetes is associated with disability development. Healthy behaviors and psychosocial support can help patients manage their disease. PURPOSE: To examine the role of various behavioral and psychological factors in buffering the effect of diabetes on disability development over time in Taiwanese adults. METHODS: Data on 5,131 adults aged ≥50 years were obtained from the Taiwan Longitudinal Study on Aging. A cohort sequential multilevel design was employed to analyze the association between behavioral and psychosocial factors and the risk of disability over a 11-year period. RESULTS: In patients with diabetes, having social support and exercising more than six times a week were associated with 4% and 49% reductions in the risk of disability, respectively (ßdiabetes*socialsupport = -0.285, p = .006; ßdiabetes*exercise3 = -2.612, p = .007). Exercising more than six times a week had an additional significant protective effect against disability development per year (ßdiabetes*exercises3*age = -0.241, p = .038). Depression did not significantly interact with diabetes. However, a trajectory analysis revealed that individuals who had both diabetes and depression had the highest disability score from middle age among all participants. CONCLUSIONS: Engaging in frequent exercise is the most influential factor for reducing the risk of disability in patients with diabetes. Social support provides an additional benefit for disability prevention in individuals with diabetes.

Diabetes can lead to several diseases that affect the heart, vessels, brain, kidneys, and nerves. These diseases can cause disabilities in people with diabetes. Disabilities among people with diabetes lead to higher death rates, depression, and poor life quality. All these have become a great burden to our public health care system. Several past studies let us know healthy behaviors and good social support have positive effects on reducing complications of diabetes. Healthy behaviors, such as healthy diets, regular exercises, and proper stress management. Good social support and participation are known to reduce dementia in people with diabetes. However, it remains unclear about interactions and exact associations among all these factors. This study was designed to find out how health behaviors and social support help people with diabetes reduce the risks of disabilities. By analyzing data from Taiwan Longitudinal Study on Aging, we found that exercising more than six times a week reduced disability risk the most for people with diabetes. Social support, although not as effective as exercising, provided additional positive effects to reducing disability risks of people with diabetes.

Continuous quality improvement: reducing informed consent form signing errors.

BACKGROUND: Adherence to ethical guidelines and regulations and protecting and respecting the dignity and autonomy of participants by obtaining a valid informed consent form (ICF) prior to participation in research are crucial; The subjects did not add signatures next to the corrections made to signatures or dates on the ICF, Multiple signatures in other fields, ICF missing/missing signature, Incorrect ICF version Signed after modification, Correction tape used to correct signature, Impersonated signature, Non-research-member signature, however, ICFs are often not properly completed, which must be addressed. This study analyzed ICF signing errors and implemented measures to reduce or prevent these errors. METHODS: We used the plan-do-check-act (PDCA) cycle to help improve the correctness and validity of ICF signing. RESULTS: Interim and final reports from January 2016 to February 2020 including 363 ICFs were studied. The total proportion of correct ICF signatures (200, 83.3%) following the PDCA intervention was significantly higher than that before the intervention (P < 0.05). Analysis of the types of signing error demonstrated that signature errors were significantly reduced after the intervention, particularly for subjects did not add signatures next to the corrections made to signatures or dates on the ICF (16, 6.7%) and impersonated signature (0; P < 0.05). CONCLUSIONS: The proportions of other error types-multiple signatures in other fields, missing or unsigned ICF, incorrect signature order, incorrect ICF version, use of correction tape to correct signature, and non-medical profession members signing the ICF-did not differ significantly.

Pharmacotherapy for obstructive sleep apnea - A systematic review and meta-analysis of randomized controlled trials.

Continuous positive airway pressure is the first-line and gold-standard treatment for obstructive sleep apnea (OSA). Pharmacotherapy is not commonly used in treating OSA until recently. Combined noradrenergic and antimuscarinic agents have been clinically applied for OSA patients with variable results. This meta-analysis study aimed to investigate the efficacy of the combined regimen on OSA. A systematic literature search was performed up to November 2022 for the effects of the combined regimen on OSA. Eight randomized controlled trials were identified and systematically reviewed for meta-analysis. There were significant mean differences between OSA patients taking a combined regimen and placebo in apnea-hypopnea index (AHI) [mean difference (MD) -9.03 events/h, 95%CI (-16.22, -1.83 events/h; P = 0.01] and lowest oxygen saturation [MD 5.61%, 95% CI % (3.43, 7.80); P < 0.01]. Meta-regression showed that a higher proportion of male participants was associated with a greater reduction of AHI (p = 0.04). This study showed a positive but modest effect of pharmacotherapy in the reduction of OSA severity. The combination drugs are most applicable to male OSA patients based on their efficacy and pharmacological susceptibility. Pharmacotherapy may be applied as an alternative, adjunctive or synergistic treatment under careful consideration of its side effects.

Dietary profile of pediatric obstructive sleep apnea patients, effects of routine educational counseling, and predictors for outcomes.

Background: Dietary behavior is a main contributing yet modifiable factor to the body weight status of children and may be involved in the pathophysiology of childhood obstructive sleep apnea (OSA). This study aimed to investigate the dietary profile of pediatric OSA patients, effects of educational counseling after adenotonsillectomy, and predictor for disease resolution. Methods: This observational study included 50 pediatric OSA patients undergoing adenotonsillectomy with routine educational counseling (Group 1), 50 pediatric OSA patients undergoing adenotonsillectomy without formal educational counseling (Group 2), and 303 healthy children without OSA (Control). The three groups were matched by age. The consumption frequency of 25 food items/groups was assessed by the Short Food Frequency Questionnaire. Quality of life was evaluated by the OSA-18 questionnaire. Sleep architecture and OSA severity were measured by standard polysomnography. Between- and within-group comparisons were analyzed by non-parametric approaches and generalized estimating equations. Prediction of disease recovery was performed by multivariable logistic regression models. Results: Group 1 children consumed fruit drinks with sugar, vegetables, sweets, chocolate, rice, and noodles more frequently than Control Group children. At baseline, the distributions of sex, weight status, OSA-18 scores, and polysomnographic variables were comparable between Group 1 and Group 2. After a 12-month follow-up, Group 1 had better improvements in physical suffering, caregiver concerns, sleep architecture, and mean peripheral oxygen saturation compared to Group 2. Furthermore, Group 1 no longer had excessive consumption of fruit drinks with sugar, chocolate, and noodles; however, food consumption frequencies did not change significantly. Notably, younger age and reduced intake of butter/margarine on bread and noodles were independent predictors of cured OSA in Group 1. Conclusion: The present study preliminarily characterized an unhealthy dietary profile among pediatric OSA patients and suggested that routine educational counseling in addition to adenotonsillectomy yielded some clinical benefits. Certain items/groups of food frequencies may be associated with disease recovery and further investigations are warranted.

Temporal reciprocal relationships among anxiety, depression, and posttraumatic stress disorder for family surrogates from intensive care units over their first two bereavement years.

BACKGROUND/OBJECTIVE: Bereaved family surrogates from intensive care units (ICU) are at risk of comorbid anxiety, depression, and post-traumatic stress disorder (PTSD), but the temporal reciprocal relationships among them have only been examined once among veterans. This study aimed to longitudinally investigate these never-before-examined temporal reciprocal relationships for ICU family members over their first two bereavement years. METHODS: In this prospective, longitudinal, observational study, symptoms of anxiety, depression, and PTSD were assessed among 321 family surrogates of ICU decedents from 2 academically affiliated hospitals in Taiwan by the anxiety and depression subscales of the Hospital Anxiety and Depression Scale, and the Impact of Event Scale-Revised, respectively at 1, 3, 6, 13, 18, and 24 months postloss. Cross-lagged panel modeling was conducted to longitudinally examine the temporal reciprocal relationships among anxiety, depression, and PTSD. RESULTS: Examined psychological-distress levels were markedly stable over the first 2 bereavement years: autoregressive coefficients for symptoms of anxiety, depression, and PTSD were 0.585-0.770, 0.546-0.780, and 0.440-0.780, respectively. Cross-lag coefficients showed depressive symptoms predicted PTSD symptoms in the first bereavement year, whereas PTSD symptoms predicted depressive symptoms in the second bereavement year. Anxiety symptoms predicted symptoms of depression and PTSD at 13 and 24 months postloss, whereas depressive symptoms predicted anxiety symptoms at 3 and 6 months postloss while PTSD symptoms predicted anxiety symptoms during the second bereavement year. CONCLUSIONS: Different patterns of temporal relationships among symptoms of anxiety, depression, and PTSD over the first 2 bereavement years present important opportunities to target symptoms of specific psychological distress at different points during bereavement to prevent the onset, exacerbation, or maintenance of subsequent psychological distress.

Application of Bispectral Index System (BIS) Monitor to Ambulatory Pediatric Dental Patients under Intravenous Deep Sedation.

Purpose Intravenous sedation has been well accepted to allow dental restoration in uncooperative children while avoiding aspiration and laryngospasm; however, intravenous anesthetics such as propofol may lead to undesired effects such as respiratory depression and delayed recovery. The use of the bispectral index system (BIS), a monitoring system reflective of the hypnotic state, is con-troversial in the reduction in the risk of respiratory adverse events (RAEs), recovery time, the in-travenous drug dosage, and post-procedural events. The aim of the study is to evaluate whether BIS is advantageous in pediatric dental procedures. Methods A total of 206 cases, aged 2-8 years, receiving dental procedures under deep sedation with propofol using target-controlled infusion (TCI) technique were enrolled in the study. BIS level was not monitored in 93 children whereas it was for 113 children, among which BIS values were maintained between 50-65. Physiological variables and adverse events were recorded. Statistical analysis was conducted using Chi-square, Mann Whitney U, Independent Samples t and Wilcoxon signed tests, with a p value of <0.05 considered to be statistically significant. Results Although no statistical significance in the post-discharge events and total amount of propofol used was observed, a clear significance was identified in periprocedural adverse events (hypoxia, apnea, and recurrent cough, all p value < 0.05) and discharge time (63.4 ± 23.2 vs. 74.5 ± 24.0 min, p value < 0.001) between these two groups. Conclusions The application of BIS in combination with TCI may be beneficial for young children undergoing deep sedation for dental procedures.

ICU Bereaved Surrogates' Transition Through States of Co-Occurring Prolonged Grief Disorder, Posttraumatic Stress Disorder, and Depression Symptoms.

OBJECTIVES: Grief-related psychological distress often co-occurs to conjointly impair function during bereavement. Knowledge of comorbid grief-related psychological distress is limited: no longitudinal study has examined dynamic patterns of co-occurring prolonged grief disorder (PGD), posttraumatic stress disorder (PTSD), and depression, and previous assessment time frames have been variable and potentially inadequate given the duration criterion for PGD. Therefore, the purpose of this study was to investigate the transition of distinct symptom states based on the co-occurrence of PGD, PTSD, and depression symptoms for ICU bereaved surrogates over their first two bereavement years. DESIGN: Prospective, longitudinal, observational study. SETTING: Medical ICUs at two academically affiliated medical centers in Taiwan. PATIENTS/PARTICIPANTS: Three hundred three family surrogates responsible for decision-making for critically ill patients at high risk of death (Acute Physiology and Chronic Evaluation II scores > 20) from a disease. INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: Participants were assessed by 11 items of the Prolonged Grief Disorder (PG-13) scale, the Impact of Event Scale-Revised, and the depression subscale of the Hospital Anxiety and Depression Scale at 6, 13, 18, and 24 months postloss. PGD-PTSD-depression-symptom states and their evolution were examined by latent transition analysis. The following four distinct PGD-PTSD-depression-symptom states (prevalence) were initially identified: resilient (62.3%), subthreshold depression-dominant (19.9%), PGD-dominant (12.9%), and PGD-PTSD-depression comorbid (4.9%) states. These PGD-PTSD-depression-symptom states remained highly stable during the first two bereavement years, with transitions predominantly toward resilience. Prevalence for each state at 24 months postloss was 82.1%, 11.4%, 4.0%, and 2.5%, respectively. CONCLUSIONS: Four highly stable PGD-PTSD-depression-symptom states were identified, highlighting the importance of screening for subgroups of ICU bereaved surrogates with increased PGD or comorbid PGD, PTSD, and depression symptoms during early bereavement.

Application of deep learning to predict the low serum albumin in new hemodialysis patients.

BACKGROUND: Serum albumin level is a crucial nutritional indicator for patients on dialysis. Approximately one-third of patients on hemodialysis (HD) have protein malnutrition. Therefore, the serum albumin level of patients on HD is strongly correlated with mortality. METHODS: In study, the data sets were obtained from the longitudinal electronic health records of the largest HD center in Taiwan from July 2011 to December 2015, included 1,567 new patients on HD who met the inclusion criteria. Multivariate logistic regression was performed to evaluate the association of clinical factors with low serum albumin, and the grasshopper optimization algorithm (GOA) was used for feature selection. The quantile g-computation method was used to calculate the weight ratio of each factor. Machine learning and deep learning (DL) methods were used to predict the low serum albumin. The area under the curve (AUC) and accuracy were calculated to determine the model performance. RESULTS: Age, gender, hypertension, hemoglobin, iron, ferritin, sodium, potassium, calcium, creatinine, alkaline phosphatase, and triglyceride levels were significantly associated with low serum albumin. The AUC and accuracy of the GOA quantile g-computation weight model combined with the Bi-LSTM method were 98% and 95%, respectively. CONCLUSION: The GOA method was able to rapidly identify the optimal combination of factors associated with serum albumin in patients on HD, and the quantile g-computation with DL methods could determine the most effective GOA quantile g-computation weight prediction model. The serum albumin status of patients on HD can be predicted by the proposed model and accordingly provide patients with better a prognostic care and treatment.