Quantifying changes in oxygen saturation of the internal jugular vein in vivo using deep neural networks and subject-specific three-dimensional Monte Carlo models.

Central venous oxygen saturation (ScvO2) is an important parameter for assessing global oxygen usage and guiding clinical interventions. However, measuring ScvO2 requires invasive catheterization. As an alternative, we aim to noninvasively and continuously measure changes in oxygen saturation of the internal jugular vein (SijvO2) by a multi-channel near-infrared spectroscopy system. The relation between the measured reflectance and changes in SijvO2 is modeled by Monte Carlo simulations and used to build a prediction model using deep neural networks (DNNs). The prediction model is tested with simulated data to show robustness to individual variations in tissue optical properties. The proposed technique is promising to provide a noninvasive tool for monitoring the stability of brain oxygenation in broad patient populations.

Subgraph Isomorphic Decision Tree to Predict Radical Thermochemistry with Bounded Uncertainty Estimation.

Detailed chemical kinetic models offer valuable mechanistic insights into industrial applications. Automatic generation of reliable kinetic models requires fast and accurate radical thermochemistry estimation. Kineticists often prefer hydrogen bond increment (HBI) corrections from a closed-shell molecule to the corresponding radical for their interpretability, physical meaning, and facilitation of error cancellation as a relative quantity. Tree estimators, used due to limited data, currently rely on expert knowledge and manual construction, posing challenges in maintenance and improvement. In this work, we extend the subgraph isomorphic decision tree (SIDT) algorithm originally developed for rate estimation to estimate HBI corrections. We introduce a physics-aware splitting criterion, explore a bounded weighted uncertainty estimation method, and evaluate aleatoric uncertainty-based and model variance reduction-based prepruning methods. Moreover, we compile a data set of thermochemical parameters for 2210 radicals involving C, O, N, and H based on quantum chemical calculations from recently published works. We leverage the collected data set to train the SIDT model. Compared to existing empirical tree estimators, the SIDT model (1) offers an automatic approach to generating and extending the tree estimator for thermochemistry, (2) has better accuracy and R2, (3) provides significantly more realistic uncertainty estimates, and (4) has a tree structure much more advantageous in descent speed. Overall, the SIDT estimator marks a great leap in kinetic modeling, offering more precise, reliable, and scalable predictions for radical thermochemistry.

Food Insecurity Prevalence and Risk Factors at a Large Academic Medical Center in Michigan.

Importance: Health care systems are increasingly adopting methods to screen for and integrate food insecurity and other social risk factors into electronic health records. However, there remain knowledge gaps regarding the cumulative burden of food insecurity in large clinical settings, which patients are most at risk, and the extent to which patients are interested in social assistance through their health care system. Objective: To evaluate the 5-year prevalence and associated risk factors of food insecurity among adult primary care patients, and to examine factors associated with patients' interest in social assistance among those with food insecurity. Design, Setting, and Participants: This cross-sectional analysis of a retrospective cohort study took place at a tertiary care academic medical center (encompassing 20 primary care clinics) in Michigan. Participants included adult patients who completed screening for social risk factors between August 1, 2017, and August 1, 2022. Data analysis was performed from November 2022 to June 2023. Exposure: Food insecurity was assessed using the Hunger Vital Sign. Main Outcomes and Measures: The primary outcome was patients' interest in social assistance, and associated factors were examined using multivariate logistic regression models, adjusting for patients' demographic and health characteristics. Results: Over the 5-year period, 106 087 adult primary care patients (mean [SD] age, 52.9 [17.9] years; 61 343 women [57.8%]) completed the standardized social risk factors questionnaire and were included in the analysis. The overall prevalence of food insecurity was 4.2% (4498 patients), with monthly trends ranging from 1.5% (70 positive screens) in August 2018 to 5.0% (193 positive screens) in June 2022. Food insecurity was significantly higher among patients who were younger, female, non-Hispanic Black or Hispanic, unmarried or unpartnered, and with public health insurance. Food insecurity was significantly associated with a higher cumulative burden of social needs, including social isolation, medical care insecurity, medication nonadherence, housing instability, and lack of transportation. Only 20.6% of patients with food insecurity (927 patients) expressed interest in social assistance. Factors associated with interest in social assistance including being non-Hispanic Black, unmarried or unpartnered, a current smoker, and having a higher burden of other social needs. Conclusions and Relevance: In this retrospective cohort study, the overall prevalence of food insecurity was 4.2%, of whom approximately 1 in 5 patients with food insecurity expressed interest in assistance. This study highlights ongoing challenges in ensuring all patients complete routine social determinants of health screening and gaps in patients' interest in assistance for food insecurity and other social needs through their health care system.

The effects of alcohol tax policies on alcohol consumption and alcohol use disorders in Mainland of China: an interrupted time series analysis from 1961-2019.

Background: Overwhelming evidence suggests that increasing alcohol taxes is an effective strategy for curbing alcohol consumption. However, research on the effects of such strategies in low- and middle-income nations is limited.Objective: The aim is to explore the temporal effect of alcohol tax policy in China.Methods: We employ interrupted time series analysis to investigate the temporal effects of tax policy changes on alcohol consumption and related consequences in Mainland China from 1961 to 2019. The study population, the total population of mainland region of China, aged more than 15 years.Results: The results show that the volume tax policy, which was announced in 2000 and implemented in 2001, led to an immediate reduction in the alcohol consumption (coefficient = -0.429, p < .001). Following the implementation of higher alcohol taxes in 1998 and 2001, the prevalence of alcohol use disorders (AUDs) and related years lived with disability (YLDs) gradually decreased. The relaxation of tax policy in 2006 led to a significant increase in alcohol consumption, both immediately (coefficient = 0.406, p < .001) and in the middle term (coefficient = 0.495, p < .001), as well as contribute to an immediate or medium term significant increase in the prevalence of AUDs (coefficient = 0.038, p = .010; coefficient = 0.032, p < .001) and YLDs (coefficient = 4.363, p = .001; coefficient = 4.226, p < .001).Conclusion: This study demonstrates that changes in alcohol consumption and related consequences (increase or decrease) have followed corresponding changes in alcohol tax policies (easing or tightening), indicating that increasing alcohol taxes can be an effective strategy in China for controlling alcohol consumption and related harms.

Assessment of ecosystem quality changes based on optimizing key indicators in Nanwenghe National Nature Reserve, Heilongjiang, China.

Net primary productivity (NPP) is an indicator to reflect the production capacity of terrestrial ecosystems, as well as a key indicator for ecological quality. NPP at large scale is difficult to be measured. At present, most of the assessment of ecosystem quality uses NPP products with low resolution, which cannot capture the detailed characteristics of the ecosystem and is not conducive to the assessment of ecosystem quality at small-scale. The establishment of a rapid and efficient assessment method for small-scale ecosystem quality will greatly promote the protection and restoration of ecosystems in China. We focused on the calculation method of ecosystem quality assessment and NPP, and optimized the calculation process of the NPP, and obtained NPP by remote sensing without ground observation data. We established a regression model for remote sensing inversion of leaf area index, and estimated the vegetation coverage by using dimidiate pixel model, developed a set of methods for rapid assessment of ecosystem quality by remote sensing. Taking Nanwenghe National Nature Reserve as an example, we evaluated the change of ecosystem quality from 2001 to 2022. The results showed that from 2001 to 2022, the ecosystem qua-lity of the reserve was good as a whole, and that the area with good and excellent quality accounted for more than 85% in 2022. High vegetation coverage was the backbone of the sustainable good ecosystem quality of the reserve. From 2001 to 2022, ecosystem quality of the reserve showed a trend of first decreasing and then increasing, with the lowest point of ecosystem quality in 2013. This method had achieved good results in the evaluation of ecosystem quality in Nanwenghe National Nature Reserve. The index optimization method proposed in this study could facilitate the rapid and accurate assessment of ecosystem quality in small-scale regions, and thus provides technical reference for the precise improvement of ecosystem quality.

Validity of Actigraph for Measuring Energy Expenditure in Healthy Adults: A Systematic Review and Meta-Analysis.

PURPOSE: The objective of this systematic review and meta-analysis was to assess the validity of the Actigraph triaxial accelerometer device in measuring physical activity energy expenditure (PAEE) in healthy adults, with indirect calorimetry (IC) serving as the validity criterion. METHODS: A comprehensive search was conducted using the PubMed, Web of Science, and sportdiscuss databases, in addition to manual searches for supplementary sources. Search strategies were employed that involved conducting single keyword searches using the terms "gt3x" and "Actigraph gt3x". The literature search encompassed the timeframe spanning from 1 January 2010 to 1 March 2023. The methodological quality of the studies included in the analysis was evaluated using both the Downs and Black checklist and the Consensus-Based Criteria for Selection of Measurement Instruments (COSMIN) checklist. The meta-analysis was conducted using the Review Manager 5.4 software. The standardized mean difference (SMD) was calculated and expressed as a 95% confidence interval (CI). The significance level was set at α = 0.05. A systematic assessment of the Actigraph's performance was conducted through the descriptive analysis of computed effect sizes. RESULTS: A total of 4738 articles were retrieved from the initial search. After eliminating duplicate articles and excluding those deemed irrelevant, a comprehensive analysis was conducted on a total of 20 studies, encompassing a combined sample size of 1247 participants. The scores on the Downs and Black checklist ranged from 10 to 14, with a mean score of 11.35. The scores on the COSMIN checklist varied from 50% to 100%, with an average score of 65.83%. The meta-analysis findings revealed a small effect size (SMD = 0.01, 95% CI = 0.50-0.52, p = 0.97), indicating no statistically significant difference (p > 0.05). CONCLUSIONS: The meta-analysis revealed a small effect size when comparing the Actigraph and IC, suggesting that the Actigraph can be utilized for assessing total PAEE. Descriptive analyses have indicated that the Actigraph device has limited validity in accurately measuring energy expenditure during specific physical activities, such as high-intensity and low-intensity activities. Therefore, caution should be exercised when utilizing this device for such purposes. Furthermore, there was a significant correlation between the activity counts measured by the Actigraph and the PAEE, indicating that activity counts can be utilized as a predictive variable for PAEE.

Surgical strategy for colorectal cancer with synchronous liver and extrahepatic metastases: A scoring system and decision tree model.

BACKGROUND: The role of hepatectomy in a specific group of patients with synchronous colorectal cancer with liver metastases (SCRLM) and synchronous extrahepatic disease (SEHD) is still unclear. The aim of this study was to evaluate the efficacy of liver surgery and define the selection criteria for surgical candidates in patients with SCRLM + SEHD. METHODS: Between July 2007 and October 2018, 475 patients with colorectal cancer with liver metastases (CRLM) who underwent liver resection were retrospectively reviewed. Sixty-five patients with SCRLM + SEHD were identified and included in the study. Clinical pathological data of these patients were analyzed to evaluate the influence on survival. Important prognostic factors were identified by univariate and multivariate analyses. The risk score system and decision tree analysis were generated according to the important prognostic factors for better patient selection. RESULTS: The 5-year survival rate of patients with SCRLM + SEHD was 21.9%. The most important prognostic factors were SCRLM number of more than five, site of SEHD other than the lung only, inability to achieve SCRLM + SEHD R0 resection, and BRAF mutation of cancer cells. The proposed risk score system and decision tree model easily discriminated between patients with different survival rates and identified the profile of suitable surgical patients. CONCLUSION: Liver surgery should not be a contraindication for patients with SCRLM + SEHD. Patients with complete SCRLM + SEHD R0 resection, SCRLM number less than or equal to five, SEHD confined to the lung only, and wild-type BRAF could have favorable survival outcomes. The proposed scoring system and decision tree model may be beneficial to patient selection in clinical use.

Ultrasound assessment of gastric contents and volume in patients undergoing endoscopic endonasal transsphenoidal surgery: a prospective observational study.

Intraoperative ingestion of blood, cerebrospinal fluid, and irrigation fluid can lead to an increase in gastric volume, resulting in the potential risk of aspiration in patients after endoscopic endonasal transsphenoidal surgery (EETS). In this prospective observational study, we aimed to assess the volume of gastric contents in patients undergoing this neurosurgical procedure using ultrasound, and to determine the factors associated with volume change. Eighty-two patients diagnosed with pituitary adenoma were recruited consecutively. Semi-quantitative (Perlas scores: 0, 1 and 2) and quantitative (cross-sectional area, CSA) ultrasound assessments of the gastric antrum were performed immediately before and after surgery in the semi-recumbent and semi-recumbent right-lateral positions. Seven (8.5%) patients had antrum scores from preoperative grade 0 to postoperative grade 2; nine (11%) patients had antrum scores from preoperative grade 0 to postoperative grade 1. The mean ± standard deviation (SD) of increased gastric volume was 71.0 ± 33.1 mL and 236.5 ± 32.4 mL in postoperative grade 1 and 2 groups, respectively. Subgroup analysis showed that 11 (13.4%) patients (4 in grade 1 and all in grade 2) had postoperative estimated gastric volume > 1.5 mL kg-1 (mean ± SD 3.08 ± 1.67, range 1.51-5.01 mL kg-1). Logistic regression analysis revealed that older age, diabetes mellitus, and long surgical duration were independent risk factors for significant volume change (all P < 0.05). Our results showed a significant increase in gastric volume in some patients who underwent EETS. Bedside ultrasound measurements of gastric volume can be used to assess the postoperative aspiration risk, particularly in older diabetic patients with a longer surgical duration.

Disparities in Time to Surgeon Evaluation Among Patients with Primary Hyperparathyroidism.

BACKGROUND: A majority of patients with primary hyperparathyroidism are not referred for surgical evaluation. We hypothesized that disparities in the rate of surgeon evaluation by language, race and ethnicity, and insurance contribute to this deficit. METHODS: We queried our institutional electronic health record registry for patients with first-incident hypercalcemia between 2010 and 2018 and subsequent biochemical diagnosis of primary hyperparathyroidism. We used the Kaplan-Meier method and Cox proportional hazards modeling to investigate estimated time to surgeon evaluation by language, race and ethnicity, and insurance status. RESULTS: Of 1,333 patients with a diagnosis of primary hyperparathyroidism, 74% were female, 67% were White, 44% were privately insured, and 88% preferred English. Fewer than one third (n = 377; 28%) were evaluated by a surgeon. After adjusting for demographic and clinical factors, Asian (hazard ratio = 0.38; 95% confidence interval, 0.18-0.84; P = .016) and Black or African American patients (hazard ratio = 0.59; 95% confidence interval, 0.39-0.90; P = .014) had a lower rate of surgeon evaluation compared to White patients. Although patients with Medicaid had a lower rate of surgeon evaluation compared to privately insured patients (hazard ratio = 0.52; 95% confidence interval, 0.35-0.77; P = .001), there was no difference in rate for those with Medicare or who were uninsured. Patients with non-English and non-Spanish language had a lower rate of evaluation compared to those who preferred English (hazard ratio = 0.47; 95% confidence interval, 0.23-0.98; P = .043). CONCLUSION: Rates of surgeon evaluation vary by race and ethnicity, insurance status, and preferred language. Evaluation of factors contributing to these disparities is needed to improve access to surgeon referral.

The transition of alcohol control in China 1990-2019: Impacts and recommendations.

The harmful use of alcohol is a severe public health issue globally. Chinese per-capita alcohol consumption has increased sharply in recent decades, which has contributed to a rise in alcohol-related problems. In this article we present an analysis of Chinese alcohol policy, beginning with a characterization of alcohol consumption in China followed by an examination of how the nation's alcohol control policy has evolved over the past 30 years, identifying shortcomings and obstacles to improvement. Finally, we present several recommendations informed by the Global Strategy to Reduce the Harmful Use of Alcohol and the SAFER Technical Package-Five Areas of Intervention at National and Subnational Levels (SAFER initiative), to the areas of taxation, alcohol availability, alcohol marketing regulation, and treatment.

Reliability and validity of DSM-IV and DSM-5 methamphetamine use disorder diagnoses using the Chinese Version of the Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA).

BACKGROUND: The Semi-structured Assessment for Drug Dependence and Alcoholism (SSADDA) was developed to assess substance-use disorders and other psychiatric traits. We translated the SSADDA into Chinese and evaluated its inter-rater reliability and concurrent validity in diagnosing DSM-IV methamphetamine (MA) dependence and DSM-5 MA-use disorder (MUD). METHODS: The sample comprised 231 participants who were interviewed using the Chinese SSADDA and the Mini-International Neuropsychiatric Interview (Chinese MINI) for concurrent validation. Of the 231 participants, 191 were interviewed by two different interviewers two weeks apart. We evaluated the inter-rater reliability and concurrent validity of the diagnoses using percent agreement and Cohen's kappa coefficient (κ). Cohen's linear weighted kappa was used to assess the reliability of DSM-5 MUD severity. RESULTS: It showed good inter-rater reliability and no significant differences among the DSM-5 MUD (κ = 0.71), DSM-IV MA abuse or dependence (κ = 0.72), and the DSM-IV diagnoses of MA dependence (κ = 0.66) and abuse (κ = 0.68) tested separately. The weighted kappa was 0.67 across the three DSM-5 MUD severity levels. The reliability of each individual diagnostic criterion for DSM-5 MUD ranged from fair to excellent (κ = 0.41-0.80), except for "repeated attempts to quit/control use" (κ = 0.38). The concurrent validity based on MINI-derived diagnoses ranged from good to excellent (κ = 0.65-0.78). CONCLUSIONS: This study shows that the Chinese version of SSADDA has good reliability and validity among Chinese MA users.

Patient-Reported Financial Burden in Thyroid Cancer.

BACKGROUND: The incidence of thyroid cancer is increasing at a rapid rate. Prior studies have demonstrated financial burden and decreased quality of life in patients with thyroid cancer. Here, we characterize patient-reported financial burden in patients with thyroid cancer over a 28y period. MATERIALS AND METHODS: Patients who underwent thyroidectomy for thyroid cancer from 1990-2018 completed a phone survey assessing financial burden and its related psychological financial hardship. Descriptive statistics were performed to characterize these outcomes and correlation with sociodemographic data was assessed. RESULTS: Respondents (N = 147) were 73% female, 75% white, and had a median follow up of 7 y. The majority had a full-time job (59%) and private insurance (81%) at the time of diagnosis. Overall, 16% of respondents reported financial burden and 50% reported psychological financial hardship. Those reporting financial burden were disproportionately impacted by psychological financial hardship (87% versus 43%, P < 0.001). One in four (25%) respondents reported not being adequately informed about costs. CONCLUSIONS: Financial burdens are important outcomes of thyroid cancer which occur even among patients with protective financial factors, suggesting an even greater impact on the general population of patients with thyroid cancer. Further research is needed to explore the intersection of financial burden, cost, and quality of life.

The impact of economic and financial activities on air quality: a Chinese city perspective.

This study examines the impact of economic and financial activities on air pollution in China using prefecture-level panel data from 2004 to 2015. Recruiting the air quality index (AQI) as a measure of overall air quality in Chinese cities, we find that industrial production, financial development, and economic integration lead to higher overall air pollution. Nevertheless, efficiency in urban planning through public transportation and population density alleviates this environmental degradation. A closer look into the two main air pollutants in China, sulphur dioxide and dust, further highlights the complexity of the issue. We find that trade openness reduces both sulphur dioxide and dust emissions, whereas financial development reduces sulphur dioxide emissions but increases dust in Chinese cities. Our findings are of particular interest to policymakers when devising environmental policies in support of sustainable economic development.

Assessment of physiological signs associated with COVID-19 measured using wearable devices.

Respiration rate, heart rate, and heart rate variability (HRV) are some health metrics that are easily measured by consumer devices, which can potentially provide early signs of illness. Furthermore, mobile applications that accompany wearable devices can be used to collect relevant self-reported symptoms and demographic data. This makes consumer devices a valuable tool in the fight against the COVID-19 pandemic. Data on 2745 subjects diagnosed with COVID-19 (active infection, PCR test) were collected from May 21 to September 11, 2020, consisting of PCR positive tests conducted between February 16 and September 9. Considering male (female) participants, 11.9% (11.2%) of the participants were asymptomatic, 48.3% (47.8%) recovered at home by themselves, 29.7% (33.7%) recovered at home with the help of someone else, 9.3% (6.6%) required hospitalization without ventilation, and 0.5% (0.4%) required ventilation. There were a total of 21 symptoms reported, and the prevalence of symptoms varies by sex. Fever was present in 59.4% of male subjects and in 52% of female subjects. Based on self-reported symptoms alone, we obtained an AUC of 0.82 ± 0.017 for the prediction of the need for hospitalization. Based on physiological signs, we obtained an AUC of 0.77 ± 0.018 for the prediction of illness on a specific day. Respiration rate and heart rate are typically elevated by illness, while HRV is decreased. Measuring these metrics, taken in conjunction with molecular-based diagnostics, may lead to better early detection and monitoring of COVID-19.

Insuring Good Health: Outcomes and Acceptability of a Participatory Health Insurance Literacy Intervention in Diverse Urban Communities.

BACKGROUND: The U.S. uninsured rate has dropped significantly since the passage of the Affordable Care Act (ACA), yet insurance coverage remains lower in historically marginalized communities than in the overall population. New consumer engagement approaches that involve these populations are needed. The purpose of this study was to evaluate the effectiveness of the Insuring Good Health Intervention, a website and video series designed to improve engagement with health insurance and ACA reforms. The study was designed and implemented using a community-based participatory research approach. METHOD: We conducted a lagged-control cluster randomized controlled trial to evaluate Insuring Good Health with racially and ethnically diverse adults seeking services in medically underserved areas within the Detroit, Michigan metropolitan area. Outcomes were assessed at baseline and at 6 and 9 months postintervention, and including self-efficacy, knowledge, beliefs, and intention to seek help with insurance navigation and care. RESULTS: Among 243 participants, mean age was 43.4 ( SD = 13) years, and all participants met federal guidelines for poverty. The study had an 86% response rate at 9-month follow-up ( n = 209). Compared with the lagged-control group, intervention participants had more positive beliefs concerning preventive care (estimate 0.51, standard error 0.16; p < .01), and intention to seek help with insurance navigation and care (estimate 0.43, standard error 0.17; p < .001) at 9-month follow-up. Hispanic participants benefitted the most from the intervention, including improved knowledge of health insurance eligibility over 9 months compared with other racial/ethnic groups (estimate -0.97, standard error 0.40, p < .01). DISCUSSION: Insuring Good Health was associated with increased intention to seek help with insurance navigation and care, and improved beliefs around preventive care. CONCLUSIONS: Insuring Good Health has the potential to be an important consumer engagement tool to reduce disparities in health insurance coverage and care seeking.

Molecular assessment of clonality in lymphoid neoplasms.

Molecular clonality assays in B- and T-cell lymphoproliferative disorders often provide critical information in establishing a diagnosis of a lymphoproliferative disorder. These assays rely on the unique genetic structures that serve as assay targets, created in the process of generating immunoglobulin and T-cell receptors during B- and T-cell development. Molecular clonality assays are generally used when flow cytometry or immunohistochemistry has not sufficiently clarified the benign or malignant nature of a lymphoid proliferation. Additionally, since molecular clonality assays are tumor specific, they allow the clinician to distinguish recurrences from second tumors, and have the sensitivity to monitor minimal residual disease. In this review, we discuss the principles underlying these tests, the current approaches to clonality testing, some of the pitfalls in their interpretation, and the future applications of next generation sequencing technology to clonality testing.

Optimizing mass casualty burns intensive care organization and treatment using evidence-based outcome predictors.

BACKGROUND: Majority of current research focuses on pre-hospital care in mass casualty incidents (MCI) whereas this study is the first to examine multifactorial aspects of intensive care unit (ICU) resource management during a surge in massive burn injury (MBI) patients whilst identifying key outcome predictors that resulted in successful disaster managements. METHODS: Both critical care, surgical parameters and cost-effectiveness are investigated in patients admitted with severe burns resulting from the explosion. A fully integrated trauma response and expansion of critical care resources in Linkou Chang Gung Memorial Hospital (CGMH) in this incident is analyzed. RESULTS: 52 burn patients were treated in CGMH and 27 patients (51.9%) had TBSA greater than 45% with the mean TBSA of 44.6±20.3%. ICU based management of MBI including early debridement and resource strategizing. The overall mortality rate was 2/52 (3.85%). Patients had an average of 14.8days on mechanical ventilation and 43days as an inpatient in total. Operative treatment wise, 44.2% of patients received escharotomies and each patient received an average of 2 skin grafting procedures. The initial TBSA was a significant predictor for burn wound infection (OR 1.107, 95% CI 1.023-1.298; p=0.011). Each patient cost an average of USD 1035 per TBSA% with an average total cost of USD 50415. CONCLUSION: With ever increasing chances of terrorist activity in urban areas, hospitals can hopefully increase their preparedness using outcome-predictors presented in this study.

Literature review and economic evaluation of oral and intramuscular ziprasidone treatment among patients with schizophrenia in China.

BACKGROUND: Over 10 million Chinese are affected by schizophrenia. The annual cost of schizophrenia in China was estimated at US$2586 per patient. AIMS: The study has two aims: (1) to conduct a targeted literature review of the economic literature on oral ziprasidone in China, and (2) to develop an inpatient economic model that compared the cost of intramuscular ziprasidone with other regimens including electroconvulsive therapy (ECT) for the management of acute agitation in patients with schizophrenia from a hospital's perspective in China. METHODS: A targeted literature review was conducted using PubMed and the Chinese literature databases for studies published between January 2007 and December 2017. Studies that assessed costs associated with oral ziprasidone treatment for schizophrenia in China were summarised. In the inpatient economic model, cost measures included hospital room and board, antipsychotics, ECT and medications for the management of extrapyramidal symptoms (EPS). Input for standard antipsychotic regimens and unit cost were obtained from the literature. Hospital length of stay (LOS), utilisation of ECT and incidence of EPS were derived from the literature and supplemented/validated with a survey of psychiatrists in China. Cost was presented in 2017 Chinese yuan. RESULTS: The average estimated LOS was 29 days with ziprasidone, 33 days with risperidone+benzodiazepine, 32 days with olanzapine, 35 days with haloperidol and 29 days with ECT. The cost of antipsychotics was ¥1260 with ziprasidone, ¥137 with risperidone+benzodiazepine, ¥913 with olanzapine and ¥210 with haloperidol; ECT treatment cost ¥785. The base-case analysis suggested that higher antipsychotic cost with ziprasidone was offset by savings with shorter LOS. Using intramuscular ziprasidone for acute management was associated with a total cost of ¥11 157, the lowest among all antipsychotic regimens (¥11 424 with risperidone+benzodiazepine, ¥11 711 with olanzapine and ¥11 912 with haloperidol) and slightly higher than ECT (¥10 606). The cost of antipsychotics and ECT accounted for 1 %-11 % of the total cost. Varying LOS between the lower and upper bounds of the 95% CI, the total cost was comparable between these regimens. CONCLUSIONS: Overall, the cost for the management of acute agitation was similar between intramuscular ziprasidone and other antipsychotics. Compared with other antipsychotics, the higher medication cost of intramuscular ziprasidone can be offset by savings with shorter hospital stay. The results from this economic analysis were complementary to the findings in the published literature assessing the economic outcomes of oral ziprasidone.

Assessment of ß Cell Mass and Function by AIRmax and Intravenous Glucose in High-Risk Subjects for Type 1 Diabetes.

Context: There is little information regarding ß cell mass in individuals at early stages of type 1 diabetes (T1D). Objective: To investigate both acute insulin response to arginine at hyperglycemia (AIRmax), as a correlate of ß cell mass, and ß cell function by the intravenous glucose tolerance test (IVGTT) in subjects at early stages of T1D. Design/Setting/Participants: Forty subjects were enrolled: (1) low-risk group: relatives of patients with T1D with 0 to 1 antibody (n = 21) and (2) high-risk group: relatives with ≥2 antibodies (n = 19). Main Outcome Measure: Acute insulin and C-peptide responses to IVGTT and to AIRmax. Participants underwent two IVGTT and AIRmax procedures on different days. Results: AIRmax was reproducible, well tolerated, and correlated to first-phase insulin response (FPIR) from IVGTT (r = 0.779). The high-risk group had greater impaired ß cell function compared with the low-risk group, determined both by lower mean FPIR and a greater number of subjects below an established threshold for abnormal function [10 of 19 (52.6%) versus 4 of 21 (19%)]. There was a heterogeneous AIRmax response in these subjects with low FPIR, ranging from 38 to 250 µU/mL. Conclusions: There is significant variation in insulin secretory reserve as assessed by AIRmax in family members with low ß cell function assessed by FPIR. As AIRmax is a functional measure of ß cell mass, these data suggest heterogeneity in disease pathogenesis in which mass is preserved in relation to function in some individuals. The tolerability and reproducibility of AIRmax suggest it could be a useful stratification measure in clinical trials of disease-modifying therapy.

Use of and barriers to access to opioid analgesics: a worldwide, regional, and national study.

BACKGROUND: Despite opioid analgesics being essential for pain relief, use has been inadequate in many countries. We aim to provide up-to-date worldwide, regional, and national data for changes in opioid analgesic use, and to analyse the relation of impediments to use of these medicines. METHODS: We calculated defined daily doses for statistical purposes (S-DDD) per million inhabitants per day of opioid analgesics worldwide and for regions and countries from 2001 to 2013, and we used generalised estimating equation analysis to assess longitudinal change in use. We compared use data against the prevalence of some health disorders needing opioid use. We surveyed 214 countries or territories about impediments to availability of these medicines, and used regression analyses to establish the strength of associations between impediments and use. FINDINGS: The S-DDD of opioid analgesic use more than doubled worldwide between 2001-03 and 2011-13, from 1417 S-DDD (95% CI -732 to 3565; totalling about 3.01 billion defined daily doses per annum) to 3027 S-DDD (-1162 to 7215; totalling about 7.35 billion defined daily doses per annum). Substantial increases occurred in North America (16,046 S-DDD [95% CI 4032-28,061] to 31,453 S-DDD [8121-54,785]), western and central Europe (3079 S-DDD [1274-4883] to 9320 S-DDD [3969-14,672]), and Oceania (2275 S-DDD [763-3787] to 9136 S-DDD [2508-15,765]). Countries in other regions have shown no substantial increase in use. Impediments to use included an absence of training and awareness in medical professionals, fear of dependence, restricted financial resources, issues in sourcing, cultural attitudes, fear of diversion, international trade controls, and onerous regulation. Higher number of impediments reported was significantly associated with lower use (unadjusted incidence rate ratio 0.39 [95% CI 0.29-0.52]; p<0.0001), but not when adjusted for gross domestic product and human development index (0.91 [0.73-1.14]; p=0.4271). INTERPRETATION: Use of opioid analgesics has increased, but remains low in Africa, Asia, Central America, the Caribbean, South America, and eastern and southeastern Europe. Identified impediments to use urgently need to be addressed by governments and international agencies. FUNDING: International Narcotics Control Board, UN.