Obstetric complications (OCs) are associated with cognitive and brain abnormalities observed in patients with schizophrenia. Gyrification, a measure of cortical integrity sensitive to events occurring during the prenatal and perinatal periods, is also altered in first-episode psychosis (FEP). We examined the relationship between OCs and gyrification in FEP, as well as whether gyrification mediates the relationship between OCs and cognition.

We examined differences in the Local Gyrification Index (LGI) for the frontal, parietal, temporal, occipital, and cingulate cortices between 139 FEP patients and 125 healthy controls (HCs). Regression analyses explored whether OCs and diagnosis interact to explain LGI variation. Parametric mediation analyses were conducted to assess the effect of LGI on the relationship between OCs and cognition for FEP and HC.

Significant LGI differences were observed between FEP patients and HC in the left parietal and bilateral cingulate and occipital cortices. There was a significant interaction between OCs and diagnosis on the left cingulate cortex (LCC) that was specific to males (p = 0.04) and was driven by gestational rather than intrauterine OCs.

In HCs, OCs had a direct effect on working memory (WM) (p = 0.048) in the mediation analysis, whereas in FEP, we observed no significant effect of OCs on either verbal or WM.

OCs interact with diagnosis to predict LCC gyrification, such that males with FEP exposed to OCs exhibit the lowest LGI. OCs influence WM, and LCC gyrification may mediate this relation only in HC, suggesting a differential neurodevelopmental process in psychosis.

It remains unclear which individuals with subthreshold depression benefit most from psychological intervention, and what long-term effects this has on symptom deterioration, response and remission.

To synthesise psychological intervention benefits in adults with subthreshold depression up to 2 years, and explore participant-level effect-modifiers.

Randomised trials comparing psychological intervention with inactive control were identified via systematic search. Authors were contacted to obtain individual participant data (IPD), analysed using Bayesian one-stage meta-analysis. Treatment–covariate interactions were added to examine moderators. Hierarchical-additive models were used to explore treatment benefits conditional on baseline Patient Health Questionnaire 9 (PHQ-9) values.

IPD of 10 671 individuals (50 studies) could be included. We found significant effects on depressive symptom severity up to 12 months (standardised mean-difference [s.m.d.] = −0.48 to −0.27). Effects could not be ascertained up to 24 months (s.m.d. = −0.18). Similar findings emerged for 50% symptom reduction (relative risk = 1.27–2.79), reliable improvement (relative risk = 1.38–3.17), deterioration (relative risk = 0.67–0.54) and close-to-symptom-free status (relative risk = 1.41–2.80). Among participant-level moderators, only initial depression and anxiety severity were highly credible (P > 0.99). Predicted treatment benefits decreased with lower symptom severity but remained minimally important even for very mild symptoms (s.m.d. = −0.33 for PHQ-9 = 5).

Psychological intervention reduces the symptom burden in individuals with subthreshold depression up to 1 year, and protects against symptom deterioration. Benefits up to 2 years are less certain. We find strong support for intervention in subthreshold depression, particularly with PHQ-9 scores ≥ 10. For very mild symptoms, scalable treatments could be an attractive option.

Brazil’s public health system serves most of the population, but 25 percent of citizens rely on private health insurance. The National Regulatory Agency for Private Health Insurance and Plans (ANS) regulates private medicine reimbursements, which diverge from the public sector threshold. In 2022, the National Committee for Health Technology Incorporation (CONITEC) set a willingness-to-pay benchmark of BRL40,000 (USD8,215) per quality-adjusted life-year. The ANS has no such benchmark, highlighting a pivotal gap in economic evaluations for private health care.

This quantitative study investigated the Incremental cost-effectiveness ratios (ICER) for reimbursed medicines in Brazil’s private health sector, comparing them with CONITEC’s benchmarks and international thresholds. Data were extracted from industry reimbursement submissions to the ANS and analyzed for statistical disparity and policy implications.

Preliminary findings found an ICER peak of BRL619,900 (USD127,220) per quality-adjusted life-year for talazoparib, which is used to treat certain advanced breast cancers. This contrasted sharply with CONITEC’s established threshold, indicating a critical need to evaluate ANS policies.

Early results indicate that the ICERs for some medicines surpass CONITEC’s willingness-to-pay limit, suggesting that the ANS should consider establishing a defined cost-effectiveness threshold. This is imperative to harmonize with global standards and maintain sustainable health financing.

Despite medical advancements, endocarditis still results in high mortality rates. Surgery, while often essential, elevates the risk of hyperinflammation, sepsis, and cytokine release. The use of a cytokine filter to prevent this remains controversial. This study reviewed existing literature to assess the efficacy of cytokine filters and to support its integration into supplementary health services.

An exhaustive search of the MEDLINE, Cochrane Library, Embase, LILACS, and CytoSorbents Corporation databases was conducted to identify relevant meta-analyses and systematic reviews. The study focused on randomized controlled trials and case series studies assessing the efficacy of cytokine filtration. Key variables considered were the duration of antibiotic treatment, severity of endocarditis, and surgical treatment rationale. These factors were crucial for evaluating clinical outcomes and patient survival after surgery.

The systematic reviews yielded mixed outcomes. Two found no benefits for hemoadsorption, while one found that it reduced mortality rates and intensive care unit stays based on observational studies. Randomized controlled trials, however, showed no significant impact for cytokine filters on mortality rates or postoperative hemodynamic parameters. In contrast, case series studies reported potential benefits, but these results were confounded by biases in patient allocation and failure to account for critical variables like antibiotic treatment duration, case severity, and surgical rationale. These discrepancies highlight the complexity of evaluating the effectiveness of cytokine filtration in surgical settings.

Randomized and non-randomized controlled trials on the role of cytokine filters in cardiac surgery for endocarditis reported contradictory findings. Only case series studies suggested benefits from cytokine filters, necessitating further high quality research before recommending their widespread use. Understanding the implications of these results is essential, underscoring the need for more rigorous studies to resolve these inconsistencies.

Informed healthcare policies in Brazil rely on robust health technology assessment (HTA), especially for conditions like non-small cell lung cancer (NSCLC). We present an efficiency frontier analysis to evaluate NSCLC treatments that correlates annual treatment costs with clinical outcomes, offering a systematic approach to enhance decision-making in the Brazilian healthcare context.

This quantitative study analyzed NSCLC drug costs within the Brazilian healthcare system and the clinical efficacy data of pivotal studies. The data were analyzed using Python and R software. The dataset comprised drug costs and hazard ratios for overall survival. After data preparation, which involved normalization and outlier management, we constructed an efficiency frontier by ranking drugs based on cost and effectiveness. A linear regression model was then developed to extrapolate this frontier, deriving a formula that predicts treatment costs for specified improvements in overall survival.

The analysis delineated an efficiency frontier and revealed cost-effective NSCLC treatments in Brazil. The following linear regression equation was derived: overall survival = (1.033551 − 0.000003) × treatment cost (USD). This allows for the estimation of appropriate treatment costs for new therapies based on their expected clinical outcomes. This initial model provides a foundation for estimating the economic impact of new treatments.

This preliminary efficiency frontier analysis offers a novel perspective for evaluating NSCLC treatment strategies in Brazil to support sustainable healthcare policy decisions. The model is subject to limitations due to the absence of a systematic literature review. However, it represents an initial step towards a more comprehensive HTA framework. Further research should refine the model by including systematic data collection and analysis.

In Brazil, equitable access to medications is critical. There are significant pricing disparities between the National Health System and private health care, which are influenced by the National Committee for Health Technology Incorporation (CONITEC) and Law 14.307. This study investigated these disparities, with aim of proposing strategies for equitable access and sustainability in health care.

This analysis compared prices between the public and private sectors for trastuzumab and adalimumab. Public sector prices were obtained from the Health Prices Database (HPD) and private sector prices were obtained from the Unimed National Table of Materials and Medications (TNUMM), as of May 2023. The study evaluated the extent of pricing discrepancies, considering Drug Market Regulation Chamber ceiling prices and industry discounts.

The cost of the trastuzumab biosimilar, KANJINTI® (Amgen Inc.), was BRL15.79 (USD3.24) per mg in the private sector, compared with BRL4.50 (USD0.92) per mg in the public sector (a 250% difference). The original version of adalimumab, HUMIRA® (AbbVie), was priced at BRL5,450.38 (USD1,120.53) in the TNUMM versus BRL2,445.46 (USD502.33) in the HPD (a 123% difference). The adalimumab biosimilar, HYRIMOZ® (Sandoz Inc.), was priced at BRL7,723.99 (USD1,586.87) in the TNUMM compared with BRL2,449.19 (USD503.05) in the HPD (a 215% price discrepancy).

The study highlights significant disparities in drug pricing between Brazil’s public and private healthcare sectors. These disparities affect the financial sustainability of private health entities and elevate costs for consumers, potentially increasing reliance on the National Health System. Policy revisions, price parity strategies, and further studies are vital for a sustainable healthcare system.

This study aims to outline Clostridioides difficile infection (CDI) trends and outcomes in Mexican healthcare facilities during the COVID-19 pandemic.

Observational study of case series.

Sixteen public hospitals and private academic healthcare institutions across eight states in Mexico from January 2016 to December 2022.

CDI patients.

Demographic, clinical, and laboratory data of CDI patients were obtained from clinical records. Cases were classified as community or healthcare-associated infections, with incidence rates calculated as cases per 10,000 patient days. Risk factors for 30-day all-cause mortality were analyzed by multivariate logistic regression.

We identified 2,356 CDI cases: 2,118 (90%) were healthcare-associated, and 232 (10%) were community-associated. Common comorbidities included hypertension, diabetes, and cancer. Previous high use of proton-pump inhibitors, steroids, and antibiotics was observed. Recurrent infection occurred in 112 (5%) patients, and 30-day mortality in 371 (16%). Risk factors associated with death were a high Charlson score, prior use of steroids, concomitant use of antibiotics, leukopenia, leukocytosis, elevated serum creatine, hypoalbuminemia, septic shock or abdominal sepsis, and SARS-CoV-2 coinfection. The healthcare-associated CDI incidence remained stable at 4.78 cases per 10,000 patient days during the pre-and pandemic periods. However, the incidence was higher in public hospitals.

Our study underscores the need for routine epidemiology surveillance and standardized CDI classification protocols in Mexican institutions. Though CDI rates in our country align with those in some European countries, disparities between public and private healthcare sectors emphasize the importance of targeted interventions.

Polygenic risk scores for educational attainment (PRSEA), cognitive reserve (CR), and clinical symptoms are associated with functioning in first-episode psychosis (FEP). Nevertheless, the mechanisms underlying their complex interaction are yet to be explored. This study assessed the mediating role of CR and clinical symptoms, both negative (NS) and positive (PS), on the interrelationship between PRSEA and functionality, one year after a FEP.

A total of 162 FEP patients underwent clinical, functional, and genetic assessments. Using genome-wide association study summary results, PRSEA were constructed for each individual. Two mediation models were performed. The parallel mediation model explored the relationship of PRSEA with functionality through CR and clinical symptoms. The serial mediation model tested a causal chain of the three mediators: CR, NS, and PS. Mediation analysis was performed using the PROCESS function V.4.1 in SPSS V.22.

A serial mediation model revealed a causal chain for PRSEA > CR > NS > Functionality (β = −0.35, 95%CI [−0.85, −0.04], p < 0.05). The model fit the data satisfactorily (CFI = 1.00; RMSEA = 0.00; SRMR = 7.2 × 10−7). Conversely, no parallel mediation was found between the three mediators, PRSEA and functionality and the model poorly fit the data (CFI = 0.30; RMSEA = 0.25; SRMR = 0.11).

Both CR and NS mediate the relationship between PRSEA and functionality at one-year follow-up, using serial mediation analysis. This may be relevant for prevention and personalized early intervention to reduce illness impact and improve functional outcomes in FEP patients.

To identify urinary catheter (UC)–associated urinary tract infection (CAUTI) incidence and risk factors.

A prospective cohort study.

The study was conducted across 623 ICUs of 224 hospitals in 114 cities in 37 African, Asian, Eastern European, Latin American, and Middle Eastern countries.

The study included 169,036 patients, hospitalized for 1,166,593 patient days.

Data collection took place from January 1, 2014, to February 12, 2022. We identified CAUTI rates per 1,000 UC days and UC device utilization (DU) ratios stratified by country, by ICU type, by facility ownership type, by World Bank country classification by income level, and by UC type. To estimate CAUTI risk factors, we analyzed 11 variables using multiple logistic regression.

Participant patients acquired 2,010 CAUTIs. The pooled CAUTI rate was 2.83 per 1,000 UC days. The highest CAUTI rate was associated with the use of suprapubic catheters (3.93 CAUTIs per 1,000 UC days); with patients hospitalized in Eastern Europe (14.03) and in Asia (6.28); with patients hospitalized in trauma (7.97), neurologic (6.28), and neurosurgical ICUs (4.95); with patients hospitalized in lower–middle-income countries (3.05); and with patients in public hospitals (5.89).

The following variables were independently associated with CAUTI: Age (adjusted odds ratio [aOR], 1.01; P < .0001), female sex (aOR, 1.39; P < .0001), length of stay (LOS) before CAUTI-acquisition (aOR, 1.05; P < .0001), UC DU ratio (aOR, 1.09; P < .0001), public facilities (aOR, 2.24; P < .0001), and neurologic ICUs (aOR, 11.49; P < .0001).

CAUTI rates are higher in patients with suprapubic catheters, in middle-income countries, in public hospitals, in trauma and neurologic ICUs, and in Eastern European and Asian facilities.

Based on findings regarding risk factors for CAUTI, focus on reducing LOS and UC utilization is warranted, as well as implementing evidence-based CAUTI-prevention recommendations.