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ImportanceThere is a lack of reliable, patient-reported quality-of-life (QOL) instruments to address the multidimensional nature of patient-centered outcomes for patients undergoing parotidectomy. The Parotidectomy Quality of Life Index is a new 35-item validated patient-reported outcome instrument specific to recovery after parotidectomy.ObjectiveTo establish and validate a comprehensive English-language patient-reported QOL instrument specific to parotidectomy.Design, Setting, and ParticipantsThis survey study was conducted in 2 phases: first, in a single-institution cohort (October 12, 2021, to March 7, 2022), and second, as an anonymous web-based survey enrolled via printed promotional brochures and social media platforms (March 13 to July 31, 2023). Inclusion criteria were age at least 18 years and parotidectomy within the last year. For test-retest reliability, a subset of phase II participants volunteered to answer the survey a second time within 2 weeks. Data were analyzed from March 8, 2022, to November 3, 2023.Main Outcomes and MeasuresItem rankings from phase I participants were used to narrow the original 61-item survey down to 45 items in the phase II survey. To assess construct validity, an exploratory factor analysis was performed. Cronbach α and pairwise Pearson correlation coefficients were used to measure internal consistency, reliability, and redundancy. Test-retest reliability was evaluated using intraclass correlation coefficients.ResultsPhase I enrolled 38 individuals, of whom 30 completed the survey (15 women [60%]; 21 participants [84%] aged >40 years). Phase II enrolled 342 participants, of whom 317 completed the survey (305 women [89%]; 284 participants [83%] aged >40 years). A total of 42 items across 7 domains were selected based on exploratory factor analysis. After Cronbach α and pairwise correlation analysis, 33 items across 6 multi-item domains and 2 standalone items were incorporated into the final QOL instrument. Cronbach αs for each of the final 6 domains were at least 0.77, suggesting excellent internal validity. Pairwise correlations did not show strong correlations (ie, none ≥0.80), suggesting minimal redundancy between domains. Younger age was significantly associated with a lower global score. Participants with malignant tumors scored lower on 4 of the 6 multi-item domains. Test-retest reliability coefficients for the domains ranged from 0.82 to 0.93, indicating very good reproducibility over a 2-week interval.Conclusions and RelevanceThese findings suggest the Parotidectomy Quality of Life Index demonstrated excellent internal validity and test-retest reliability. With further external validation, this instrument may provide opportunity for quality improvement in clinical practice and has potential as a key patient-reported outcome in future parotidectomy clinical trials.

Abstract Pulmonary vascular disease is a frequent complication of chronic liver disease and portal hypertension, affecting up to 30% of patients. There are two distinct pulmonary vascular complications of liver disease: hepatopulmonary syndrome (HPS) and portopulmonary hypertension (POPH). HPS affects 25% of patients with chronic liver disease and is characterized by intrapulmonary vasodilatation and abnormal arterial oxygenation. HPS negatively impacts quality of life and is associated with a 2‐fold increased risk of death compared to controls with liver disease without HPS. Angiogenesis, endothelin‐1 mediated endothelial dysfunction, monocyte influx, and alveolar type 2 cell dysfunction seem to play important roles in disease pathogenesis but there are currently no effective medical therapies. Fortunately, HPS resolves following liver transplant (LT) with improvements in hypoxemia. POPH is a subtype of pulmonary arterial hypertension (PAH) characterized by an elevated mean pulmonary arterial pressure and pulmonary vascular resistance in the setting of normal left‐sided filling pressures. POPH affects 5% to 6% of patients with chronic liver disease. Although the pathogenesis has not been fully elucidated, endothelial dysfunction, inflammation, and estrogen signaling have been identified as key pathways involved in disease pathogenesis. POPH is typically treated with PAH targeted therapy and may also improve with liver transplantation in selected patients. This article highlights what is currently known regarding the diagnosis, management, pathobiology, and outcomes of HPS and POPH. Ongoing research is needed to improve understanding of the pathophysiology and outcomes of these distinct and often misunderstood pulmonary vascular complications of liver disease. © 2021 American Physiological Society. Compr Physiol 12:3281‐3302, 2022.

Abstract Heart failure is a clinical syndrome characterized by the inability of the cardiovascular system to provide adequate cardiac output at normal filling pressures. This results in a clinical syndrome characterized by dyspnea, edema, and decreased exertional tolerance. Heart failure with preserved ejection fraction (HFpEF) is an increasingly common disease, and the incidence of HFpEF increases with age. There are a variety of factors which contribute to the development of HFpEF, including the presence of hypertension, diabetes, obesity, and other pro‐inflammatory states. These comorbid conditions result in changes at the biochemical and cell signaling level which ultimately lead to a disease with a great deal of phenotypic heterogeneity. In general, the physiologic dysfunction of HFpEF is characterized by vascular stiffness, increased cardiac filling pressures, pulmonary hypertension, and impaired volume management. The normal and abnormal processes associated with aging serve as an accelerant in this process, resulting in the hypothesis that HFpEF represents a form of presbycardia. In this article, we aim to review the processes importance of aging in the development of HFpEF by examining the disease and its causes from the biochemical to physiologic level. © 2022 American Physiological Society. Compr Physiol 12: 3813–3822, 2022.

Pediatric regional anesthesia offers significant benefits, yet its adoption faces barriers, including perceived overcomplexity. This study aimed to identify and establish a set of core, high-value, low-complexity nerve blocks to improve perioperative pain management in pediatric patients. A four-round modified Delphi consensus study was conducted with an international panel of pediatric and regional anesthesia experts. An initial long list of regional techniques was compiled by the Steering Committee and refined through iterative input. Panelists rated each technique on a 10-point Likert scale for importance. Consensus was defined as ≥75% of panelists assigning a mean importance score of ≥8. Techniques receiving 50%–74% agreement were categorized as having strong agreement and considered for inclusion. The final selection was confirmed through a virtual roundtable discussion. Thirty-three experts representing 12 pediatric and regional societies participated. Consensus was reached on six regional techniques, with strong agreement (*) on two additional techniques, identifying eight core pediatric regional anesthesia blocks: supraclavicular brachial plexus block, rectus sheath block, transverse abdominis plane block*, suprainguinal fascia iliaca block*, femoral nerve block, adductor canal block, popliteal sciatic nerve block, and landmark-based caudal block. This consensus-driven framework defines a core set of pediatric regional anesthesia techniques that balance clinical effectiveness, feasibility, and accessibility. These findings provide a practical entry point for practitioners looking to incorporate pediatric regional anesthesia into their practice, regardless of prior experience. Future efforts should focus on standardized training, implementation research, and policy initiatives to support widespread adoption and improve perioperative pain management in children globally.

Key Points Pooled discrimination metrics were acceptable (area under the receiver operating characteristic curve >0.70) for all AKI risk classification categories in both internal and external validation. Better performance was observed in most recently published studies and those with a low or unclear risk of bias. Significant heterogeneity in patient populations, definitions, clinical predictors, and methods limit implementation in real-world clinical scenarios. Background Artificial intelligence through machine learning models seems to provide accurate and precise AKI risk classification in some clinical settings, but their performance and implementation in real-world settings has not been established. Methods PubMed, Excerpta Medica (EMBASE) database, Web of Science, and Scopus were searched until August 2023. Articles reporting on externally validated models for prediction of AKI onset, AKI severity, and post-AKI complications in hospitalized adult and pediatric patients were searched using text words related to AKI, artificial intelligence, and machine learning. Two independent reviewers screened article titles, abstracts, and full texts. Areas under the receiver operating characteristic curves (AUCs) were used to compare model discrimination and pooled using a random-effects model. Results Of the 4816 articles initially identified and screened, 95 were included, representing 3.8 million admissions. The Kidney Disease Improving Global Outcomes (KDIGO)-AKI criteria were most frequently used to define AKI (72%). We identified 302 models, with the most common being logistic regression (37%), neural networks (10%), random forest (9%), and eXtreme gradient boosting (9%). The most frequently reported predictors of hospitalized incident AKI were age, sex, diabetes, serum creatinine, and hemoglobin. The pooled AUCs for AKI onset were 0.82 (95% confidence interval, 0.80 to 0.84) and 0.78 (95% confidence interval, 0.76 to 0.80) for internal and external validation, respectively. Pooled AUCs across multiple clinical settings, AKI severities, and post-AKI complications ranged from 0.78 to 0.87 for internal validation and 0.73 to 0.84 for external validation. Although data were limited, results in the pediatric population aligned with those observed in adults. Between-study heterogeneity was high for all outcomes (I 2 >90%), and most studies presented high risk of bias (86%) according to the Prediction Model Risk of Bias Assessment Tool. Conclusions Most externally validated models performed well in predicting AKI onset, AKI severity, and post-AKI complications in hospitalized adult and pediatric populations. However, heterogeneity in clinical settings, study populations, and predictors limits their generalizability and implementation at the bedside.