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The article discusses research which examined how nursing practices may have impacted central line-associated bloodstream infection (CLABSI) rates among intensive care unit (ICU) patients with COVID-19 during the first few months of the pandemic. Cited are the relationship between ICU COVID-19 patients with those with and without CLABSI, in terms of adherence, ICU incident reporting data on infusion and infusion medication errors and near misses, and study implications for nurse leaders.

Introduction: Surgical site infections (SSIs) are an important quality measure. Identifying SSIs often relies upon a time-intensive manual review of a sample of common surgical cases. In this study, we sought to develop a predictive model for SSI identification using antibiotic pharmacy data extracted from the electronic medical record (EMR). Methods: A retrospective analysis was performed on all surgeries at a Veteran Affair's Medical Center between January 9, 2020 and January 9, 2022. Patients receiving outpatient antibiotics within 30 days of their surgery were identified, and chart review was performed to detect instances of SSI as defined by VA Surgery Quality Improvement Program criteria. Binomial logistic regression was used to select variables to include in the model, which was trained using k-fold cross validation. Results: Of the 8,253 surgeries performed during the study period, patients in 793 (9.6%) cases were prescribed outpatient antibiotics within 30 days of their procedure; SSI was diagnosed in 128 (1.6%) patients. Logistic regression identified time from surgery to antibiotic prescription, ordering location of the prescription, length of prescription, type of antibiotic, and operating service as important variables to include in the model. On testing, the final model demonstrated good predictive value with c-statistic of 0.81 (confidence interval: 0.71–0.90). Hosmer–Lemeshow testing demonstrated good fit of the model with p value of 0.97. Conclusion: We propose a model that uses readily attainable data from the EMR to identify SSI occurrences. In conjunction with local case-by-case reporting, this tool can improve the accuracy and efficiency of SSI identification. [ABSTRACT FROM AUTHOR]

Objectives: This study aims to analyze the clinical features, symptoms, laboratory findings, and treatment approaches of patients presenting to the emergency department with elevated INR due to warfarin overdose. Methods: The study was conducted retrospectively from August 1, 2023, to June 1, 2024, in the emergency department of a tertiary hospital in a city with a population of 5 million. Patients aged 18 and over with an INR value of 3.5 or above were included. Data were obtained from electronic health records and patient files. Statistical analyses were performed using IBM SPSS Statistics. Results: A total of 121 patients were included in the study. The mean age was 71.85±12.28 years, with 53.7% female and 46.3% male. The most common diagnoses were atrial fibrillation (33.1%) and valve replacement (31.4%). The main reasons for emergency admission included general condition disorder (22.3%) and abdominal pain (16.5%). The bleeding rate was 47.9%, with the gastrointestinal system being the most common bleeding site (49.2%). The mean INR value was 9.27±5.45. Vitamin K was administered to 47.1% of patients and fresh frozen plasma to 28.1%. The discharge rate was 38.8%, and the mortality rate was 2.5%. Conclusions: Patients presenting to the emergency department with warfarin overdose are at significant risk of severe bleeding, requiring careful management. Close monitoring and accurate dose adjustments are essential, especially in elderly and comorbid patients. Antidotes such as vitamin K, fresh frozen plasma, and prothrombin complex are effective in managing bleeding complications. Future studies should aim to standardize and enhance the effectiveness of these treatment protocols. [ABSTRACT FROM AUTHOR]

BACKGROUND Sepsis is a severe, life-threatening condition characterized by systemic inflammation and multiorgan dysfunction. Identifying reliable biomarkers for early diagnosis and prognosis is crucial for improving patient outcomes. The Blood Urea Nitrogen to Albumin Ratio (BUN/Alb) has emerged as a potential indicator of sepsis severity. This study aims to evaluate the BUN/Alb ratio's utility in predicting outcomes in septic patients in Bengaluru, India. METHODS We conducted a retrospective study involving 200 sepsis patients admitted to a tertiary care hospital in Bengaluru between January 2023 and December 2023. Data were collected from electronic medical records, including BUN, albumin levels, and clinical outcomes. Statistical analyses were performed to assess the correlation between BUN/Alb ratios and patient outcomes, including mortality and length of hospital stay. RESULTS The average BUN/Alb ratio in the study population was found to be significantly higher in patients with severe sepsis compared to those with mild to moderate sepsis. A higher BUN/Alb ratio was associated with increased mortality and longer hospital stays. The ratio demonstrated predictive value for adverse outcomes, with an area under the ROC curve of 0.9. CONCLUSION The BUN/Alb ratio is a promising biomarker for assessing the severity of sepsis and predicting patient outcomes. This study supports its utility in clinical practice, especially in resource-limited settings where sophisticated diagnostic tools may not be available. Further prospective studies are recommended to validate these findings and explore the ratio's potential for guiding treatment decisions. [ABSTRACT FROM AUTHOR]

Background: Patient portals can improve access to electronic health information and enhance patient engagement. However, disparities in patient portal utilization remain, affecting disadvantaged communities disproportionately. This study examined patient- and provider-level factors associated with portal usage among Medicaid recipients in a large federally qualified health center (FQHC) network in Texas. Methods: Deidentified electronic medical records of patients 18 years or older from a large Texas FQHC network were analyzed. The dependent variable was a binary flag indicating portal usage during the study period. Independent variables included patient- and provider-level factors. Patient-level factors included sociodemographic, geographic, and clinical characteristics. Provider characteristics included primary service line, provider type, provider language, and years in practice. Because the analysis was at the individual level, a multivariable logistic regression model focused on adjusted associations between independent variables and portal usage. Results: The analytic sample consisted of 9,271 individuals. Compared with individuals 18–39 years, patients 50 years and older had lower odds (50–64 OR: 0.60, p < 0.001; 65+ OR: 0.51, p < 0.001) of portal usage. Males were less likely to use portals (OR: 0.44, p = 0.03), and compared to Non-Hispanic Whites, Non-Hispanic Black (OR: 0.86, p = 0.02) and Hispanics (OR: 0.83, p < 0.001) were significantly less likely to use portals. Individuals with 1 or more telemedicine consults had a two-times greater odds of portal usage (OR: 1.97, p < 0.001). Compared to individuals who had clinic visits in December 2018, portal usage was significantly higher in the pandemic months (March 2020–November 2020, all p's < 0.01). Importantly, the behavioral health service line had the greatest odds (OR: 1.52, p < 0.001), whereas the dental service line had the lowest odds (OR: 0.69, p = 0.01) compared to family practice. No other provider characteristics were significant. Conclusion: Our finding of significant patient-level factors is important and can contribute to developing appropriate patient-focused health information technology approaches to ensure equitable access and maximize the potential benefits of patient portals in health care delivery. [ABSTRACT FROM AUTHOR]

OBJECTIVE: Patients with type 2 diabetes (T2D) are at high risk for developing chronic kidney disease (CKD). The onset of incident CKD may complicate glycemic control among these patients. This study aimed to characterize antihyperglycemic medication use after incident CKD onset among patients with T2D to inform disease management. STUDY DESIGN: Retrospective cohort study. METHODS: Patients with incident CKD and prior T2D were identified from the Optum electronic health records database between March 2013 and September 2021. Patterns of antihyperglycemic use were assessed during the 1-year baseline period and after incident CKD diagnosis and described by baseline hemoglobin A1C (HbA1C) level (controlled [< 7%] vs elevated [≥ 7%]) and CKD severity. RESULTS: The study consisted of 262,395 patients, of whom 51% had elevated HbA1C. After CKD onset, 23.9% of patients initiated new antihyperglycemics within 1 year. Patients with elevated HbA1C had shorter time to new treatment initiation compared with those with controlled HbA1C (median, 28.7 vs 83.7 months). Patients with elevated urine albumin-to-creatinine ratio (uACR) had shorter median time to new treatment initiation (39.9-42.4 months) than those with normal uACR (59.8 months). Less than 7% of patients with stage 3 CKD and even smaller percentages of patients with higher stages of CKD utilized glucagon-like peptide1 receptor agonists and sodium-glucose cotransporter 2 inhibitors. CONCLUSIONS: Treatment of T2D was considerably heterogenous by HbA1C level and CKD severity in patients with incident CKD. Current agents may not sufficiently fulfill the unmet need of T2D management in patients with CKD. [ABSTRACT FROM AUTHOR]

Objectives: Upper extremity deep vein thrombosis (UEDVT) is associated with pulmonary embolism and other complications, but there are no recommendations for UEDVT prophylaxis. The purpose of this study was to establish incidence and risk factors for UEDVT and to determine efficacy of pharmacologic prophylaxis for UEDVT prevention. Methods: For this retrospective cohort study, we identified medical patients aged 18 years and older admitted to 13 Cleveland Clinic hospitals from January 2011 to December 2019. Patients with venous thromboembolism (VTE) on admission, length of stay <1 day, and who received therapeutic anticoagulation were excluded. The potential risk factors included demographics, comorbidities, and medical procedures. Comorbidities were identified via International Classification of Diseases codes, (ICD9 and ICD10), procedures from flowsheets, and prophylaxis from medications administered in the electronic medical record. DVT events were identified by a combination of International Classification of Diseases codes and confirmed by chart review. We performed multivariable logistic regression to identify independent risk factors and the association between VTE prophylaxis and UEDVT. The model's C statistic was obtained using 1000 bootstrap runs. Results: Of 194,809 patients, 496 (0.25% of cohort, 36.8% of all VTE) developed UEDVT by 14 days. In the logistic regression model (bias-corrected C statistic 0.87), 11 risk factors predicted UEDVT, the strongest being peripherally inserted central catheter (odds ratio [OR] 4.62, 95% confidence interval [CI] 3.81-5.60) and central venous catheter (OR 3.57, 95% CI 2.91-4.37). The predicted risk among individuals ranged from 0.02% to 23.4%. Prophylaxiswas negatively associated with the development of UEDVT (OR 0.72, 95% CI 0.60-0.87). Conclusions: UEDVT is rare but some patients are high risk. Therefore, UEDVTrisk factors should be added toVTE risk assessmentmodels, and patients at high risk for UEDVT should receive chemoprophylaxis. [ABSTRACT FROM AUTHOR]

To develop and validate natural language processing-driven artificial intelligence (AI) models for the diagnosis of lumbar disc herniation (LDH) with L5 and S1 radiculopathy using electronic health records (EHRs). EHRs of patients undergoing single-level percutaneous endoscopic lumbar discectomy for the treatment of LDH at the L4/5 or L5/S1 level between June 1, 2013, and December 31, 2021, were collected. The primary outcome was LDH with L5 and S1 radiculopathy, which was defined as nerve root compression recorded in the operative notes. Datasets were created using the history of present illness text and positive symptom text with radiculopathy (L5 or S1), respectively. The datasets were randomly split into a training set and a testing set in a 7:3 ratio. Two machine learning models, the long short-term memory network and Extreme Gradient Boosting, were developed using the training set. Performance evaluation of the models on the testing set was done using measures such as the receiver operating characteristic curve, area under the curve, accuracy, recall, F1-score, and precision. The study included a total of 1681 patients, with 590 patients having L5 radiculopathy and 1091 patients having S1 radiculopathy. Among the 4 models developed, the long short-term memory model based on positive symptom text showed the best discrimination in the testing set, with precision (0.9054), recall (0.9405), accuracy (0.8950), F1-score (0.9226), and area under the curve (0.9485). This study provides preliminary validation of the concept that natural language processing-driven AI models can be used for the diagnosis of lumbar disease using EHRs. This study could pave the way for future research that may develop more comprehensive and clinically impactful AI-driven diagnostic systems. [ABSTRACT FROM AUTHOR]

There has been limited investigation into how social determinants of health impact treatment outcomes in patients with trigeminal neuralgia (TN). We aimed to investigate how social determinants of health may alter the course of clinical care for patients with TN. The electronic medical record was queried for patients with a diagnosis of TN comanaged by neurosurgeons and other facial pain specialists at our medical center. Area Deprivation Index served as a proxy for socioeconomic status (SES). Multivariable linear regression models were performed using RStudio to assess the impact of social determinants on the time to neurosurgical referral and surgical intervention. A total of 229 patients (mean age 50 years, 74% female) were included. Of these, 135 (60%) patients underwent a neurosurgical procedure after referral, the most common being microvascular decompression (n = 84, 62%) (Table 1). Most of the patients were white (76.3%) and insured by Medicare (51.8%), followed by private insurance (38.6%). Age and sex were significant predictors of time to neurosurgical referral after symptom onset, as older patients (P < 0.01, Figure 3) and females (P = 0.02) tended to have a greater delay between symptom onset and specialist referral. Race, SES, and insurance status were not significantly associated with time-to-referral or time-to-treatment. This study found that older and female patients with TN had a longer time from symptom onset to specialist referral. Based on these data, there is no association between race, SES, and insurance status with time-to-referral or time-to-treatment in patients with TN. [ABSTRACT FROM AUTHOR]

Background Population screening for colorectal cancer (CRC) remains low, requiring alternative approaches for increasing participation. Opportunistic screening of hospitalized patients may aid in increasing uptake rates. Objective To assess whether inpatients can be recruited for opportunistic CRC screening using fecal immunochemical testing (FIT). Methods Inpatient charts were prospectively reviewed for study eligibility on admission of patients to the medical wards of 3 hospitals in Winnipeg, Canada. Eligible patients were approached for participation and consent. Inoculated FIT specimen collection tubes were sent to the hospital laboratory for testing. Patients with positive FIT results received a follow-up colonoscopy. Results In total, 1542 inpatient charts were screened for eligibility; 53 patients were identified for enrollment (51.9% were male; median age, 59 years), of whom 13 patients consented to participate but only 7 provided a stool specimen. One of those 7 patients had a positive FIT result. The overall screening rate was low, at 0.45%. The primary reason for exclusion of patients was age (outside of the range of 50-75 years), followed by patients having recent gastrointestinal bleeding and/or known intestinal diseases. Conclusions Our data suggest that it is infeasible to recruit inpatients for opportunistic CRC screening in routine clinical practice. [ABSTRACT FROM AUTHOR]

Objectives Iron-deficiency anemia (IDA) is a common health problem worldwide, and up to 10% of adult patients with incidental IDA may have gastrointestinal cancer. A diagnosis of IDA can be established through a combination of laboratory tests, but it is often underrecognized until a patient becomes symptomatic. Based on advances in machine learning, we hypothesized that we could reduce the time to diagnosis by developing an IDA prediction model. Our goal was to develop 3 neural networks by using retrospective longitudinal outpatient laboratory data to predict the risk of IDA 3 to 6 months before traditional diagnosis. Methods We analyzed retrospective outpatient electronic health record data between 2009 and 2020 from an academic medical center in northern Texas. We included laboratory features from 30,603 patients to develop 3 types of neural networks: artificial neural networks, long short-term memory cells, and gated recurrent units. The classifiers were trained using the Adam Optimizer across 200 random training-validation splits. We calculated accuracy, area under the receiving operating characteristic curve, sensitivity, and specificity in the testing split. Results Although all models demonstrated comparable performance, the gated recurrent unit model outperformed the other 2, achieving an accuracy of 0.83, an area under the receiving operating characteristic curve of 0.89, a sensitivity of 0.75, and a specificity of 0.85 across 200 epochs. Conclusions Our results showcase the feasibility of employing deep learning techniques for early prediction of IDA in the outpatient setting based on sequences of laboratory data, offering a substantial lead time for clinical intervention. [ABSTRACT FROM AUTHOR]

Background: The short Synacthen test (SST) is widely used to investigate adrenal insufficiency, but it can be time‐consuming, costly and labour‐intensive to perform and is not without risk of adverse events. Aim: To review SST requesting patterns and practices across public hospitals in Queensland. Methods: The electronic medical records of patients who underwent a SST with Pathology Queensland between January 2020 and December 2020 were reviewed to collect data regarding the indication for the test, the requesting speciality, SST results and any adverse events. Results: Six hundred and fifty‐two SSTs were identified, of which 363 individual patients were included in the analysis. The majority of the tests (n = 198, 54.5%) were performed in the inpatient setting. Endocrinology most commonly ordered SSTs (n = 188, 51.8%). The suspected aetiology of adrenal insufficiency was unclear in a large proportion of requests (n = 167, 46.0%). Static testing of morning cortisol prior to SST was performed in only 249 (68.6%) patients. Of 140 inpatients data, 17.9% (n = 25) showed a robust static cortisol of ≥400 nmol/L and were treated as having normal adrenal function, suggesting SST was unnecessary in these patients. Twenty‐two (6.1%) patients had a documented adverse event occurring during or after the SST. Conclusions: There was wide variability in requesting patterns and practices for SSTs across Queensland. More than one in six SSTs could have been avoided if a static morning cortisol had been performed prior. Clinician education and the adoption of a structured referral form may improve testing practices. [ABSTRACT FROM AUTHOR]

While very much in its infancy in terms of becoming an established tool, the use of digital technology in community nursing is steadily growing, despite the persistent barriers to, and challenges encountered in its uptake and implementation. The mobile nature and high workload of a community nurse's daily practice should facilitate the rapid uptake of time-saving technology. However, there are indications that technology may not be the panacea it was originally proclaimed to be. Francesca Ramadan elaborates on the past and present applications of digital technology in community nursing and delves into the principles that should shape the future potential of tools such as artificial intelligence, automation technologies and clinical decision support systems. [ABSTRACT FROM AUTHOR]

Aims: Glargine 300 U/mL (Gla-300) has been recently approved for use in children and adolescents with type 1 diabetes (T1D). However, real-world effectiveness data are scarce, and aim of this analysis was to assess clinical outcomes in young patients with T1D switching from 1st generation basal insulin (1BI) to Gla-300. Methods: ISPED CARD is a retrospective, multicenter study, based on data anonymously extracted from Electronic Medical Records. The study involved a network of 20 pediatric diabetes centers. Data on all patients aged < 18 years with T1D switching from 1BI to Gla-300 were analyzed to assess clinical characteristics at the switch and changes after 6 and 12 months in glycated hemoglobin (HbA1c), fasting blood glucose (FBG), and standardized body mass index (BMI/SDS). Titration of basal and short-acting insulin doses was also evaluated. Results: Overall, 200 patients were identified. The mean age at the switch to Gla-300 was 13 years, and mean duration of diabetes was 3.9 years. Average HbA1c levels at switch were 8.8%. After 6 months, HbA1c levels decreased by − 0.88% (95% CI − 1.28; − 0.48; p < 0.0001). The benefit was maintained after 12 months from the switch (mean reduction of HbA1c levels − 0.80%, 95% CI − 1.25; − 0.35, p = 0.0006). Trends of reduction in FBG levels were also evidenced both at 6 months and 12 months. No significant changes in short-acting and basal insulin doses were documented. Conclusions: The study provides the first real-world evidence of the effectiveness of Gla-300 in children and adolescents with T1D previously treated with 1BI. The benefits in terms of HbA1c levels reduction were substantial, and sustained after 12 months. Additional benefits can be expected by improving the titration of insulin doses. [ABSTRACT FROM AUTHOR]

Purpose: Hydroxychloroquine is currently recommended for the treatment of systemic lupus erythematosus (SLE), but it can cause irreversible retinal toxicity. This study aimed to identify factors associated with early hydroxychloroquine-induced retinal toxicity in patients with SLE from a single centre for 20 years. Methods: SLE patients diagnosed between 1998 and 2017 and followed up for at least 1 year were included. Demographic, clinical, laboratory and therapeutic data were collected from the electronic medical records and retrospectively analysed. Early hydroxychloroquine-induced retinal toxicity was defined as the development of macular toxicity within the first 5 years of hydroxychloroquine treatment. Results: A total of 345 patients followed for a median of 15 years were analysed; 337 (97.7%) patients received hydroxychloroquine, 38 (11.3%) of them presented with retinal toxicity, and 10 (3%) developed early retinal toxicity. These patients had a mean treatment duration of 3.3 years with a mean cumulative dose of 241 g. Patients were diagnosed by visual field (VF) and fundoscopy, and two were also assessed using spectral domain optical coherence tomography (SD-OCT). The median (IQR) age of patients with early toxicity was 56 (51–66) years, and 80% were female. Factors independently associated with early hydroxychloroquine-induced retinal toxicity were lupus anticoagulant positivity (OR 4.2; 95% CI 1.2–15.5) and hypercholesterolaemia (OR 5.6; 95% CI 1.5–21.5). Conclusion: Our results suggest that lupus anticoagulant positivity and hypercholesterolaemia among SLE patients may be risk factors for early hydroxychloroquine-induced retinal toxicity, regardless of the dose or duration of treatment. [ABSTRACT FROM AUTHOR]

Objective To develop a machine learning-based prediction model for identifying hyperuricemic participants at risk of developing gout. Methods A retrospective nationwide Israeli cohort study used the Clalit Health Insurance database of 473 124 individuals to identify adults 18 years or older with at least two serum urate measurements exceeding 6.8 mg/dl between January 2007 and December 2022. Patients with a prior gout diagnosis or on gout medications were excluded. Patients' demographic characteristics, community and hospital diagnoses, routine medication prescriptions and laboratory results were used to train a risk prediction model. A machine learning model, XGBoost, was developed to predict the risk of gout. Feature selection methods were used to identify relevant variables. The model's performance was evaluated using the receiver operating characteristic area under the curve (ROC AUC) and precision-recall AUC. The primary outcome was the diagnosis of gout among hyperuricemic patients. Results Among the 301 385 participants with hyperuricemia included in the analysis, 15 055 (5%) were diagnosed with gout. The XGBoost model had a ROC-AUC of 0.781 (95% CI 0.78–0.784) and precision-recall AUC of 0.208 (95% CI 0.195–0.22). The most significant variables associated with gout diagnosis were serum uric acid levels, age, hyperlipidemia, non-steroidal anti-inflammatory drugs and diuretic purchases. A compact model using only these five variables yielded a ROC-AUC of 0.714 (95% CI 0.706–0.723) and a negative predictive value (NPV) of 95%. Conclusions The findings of this cohort study suggest that a machine learning-based prediction model had relatively good performance and high NPV for identifying hyperuricemic participants at risk of developing gout. [ABSTRACT FROM AUTHOR]

Maternal morbidity and mortality remain significant challenges in the United States, with substantial burden during the postpartum period. The Centers for Disease Control and Prevention, in partnership with the National Association of Community Health Centers, began an initiative to build capacity in Federally Qualified Health Centers to (1) improve the infrastructure for perinatal care measures and (2) use perinatal care measures to identify and address gaps in postpartum care. Two partner health center-controlled networks implemented strategies to integrate evidence-based recommendations into the clinic workflow and used data-driven health information technology (HIT) systems to improve data standardization for quality improvement of postpartum care services. Ten measures were created to capture recommended care and services. To support measure capture, a data cleaning algorithm was created to prioritize defining pregnancy episodes and delivery dates and address data inconsistencies. Quality improvement activities targeted postpartum care delivery tailored to patients and care teams. Data limitations, including inconsistencies in electronic health record documentation and data extraction practices, underscored the complexity of integrating HIT solutions into postpartum care workflows. Despite challenges, the project demonstrated continuous quality improvement to support data quality for perinatal care measures. Future solutions emphasize the need for standardized data elements, collaborative care team engagement, and iterative HIT implementation strategies to enhance perinatal care quality. Our findings highlight the potential of HIT-driven interventions to improve postpartum care within health centers, with a focus on the importance of addressing data interoperability and documentation challenges to optimize and monitor initiatives to improve postpartum health outcomes. [ABSTRACT FROM AUTHOR]

Objectives: To explore socio-behavioral, clinical, and imaging findings associated with antepartum intimate partner violence (IPV) and aid in risk stratification of at-risk individuals. Methods: We analyzed electronic medical records during indexed pregnancies for 108 pregnant patients who self-reported antepartum IPV (cases) and 106 age-matched pregnant patients who did not self-report antepartum IPV (controls). Sociodemographic, clinical, and radiology data were analyzed via chi-squared and Fisher's exact tests with p < 0.05 as the threshold for significance. Stepwise logistic regression was applied to derive a risk prediction model. Results: The proportion of cases reporting emotional IPV (76% vs. 52%) and/or physical IPV (45% vs. 31%) during pregnancy significantly increased from prior to pregnancy. Cases were significantly more likely to report prepregnancy substance use (odds ratio [OR] = 2.60; 95% confidence interval [CI]: 1.13–5.98), sexually transmitted infections (OR = 3.48; 95%CI: 1.64–7.37), abortion (OR = 3.17; 95%CI: 1.79, 5.59), and preterm birth (OR = 5.97; 95%CI: 1.69–21.15). During pregnancy, cases were more likely to report unstable housing (OR = 5.26; 95%CI: 2.67–10.36), multigravidity (OR = 2.83; 95%CI: 1.44–5.58), multiparity (OR = 3.75; 95%CI: 1.72–8.20), anxiety (OR = 3.35; 95%CI: 1.85–6.08), depression (OR = 5.58; 95%CI: 3.07–10.16), substance use (OR = 2.92; 95%CI: 1.28–6.65), urinary tract infection (UTI) (OR = 3.26; 95%CI: 1.14–9.32), intrauterine growth restriction (OR = 10.71; 95%CI: 1.35–85.25), and cesarean delivery (OR = 2.25; 95%CI: 1.26–4.02). Cases had significantly more OBGYN abnormalities on imaging and canceled more radiological studies (OR = 5.31). Logistic regression found housing status, sexually transmitted infection history, preterm delivery history, abortion history, depression, and antepartum UTI predictive of antepartum IPV. The risk prediction model achieved good calibration with an area under the curve of 0.79. Conclusions: This study identifies significant disparities among patients experiencing antepartum IPV, and our proposed risk prediction model can inform risk assessment in this setting. [ABSTRACT FROM AUTHOR]

Objective Late-onset sepsis (LOS) is a major public health burden globally. Newborns with very low birth weight (VLBW) are at high risk of mortality related to LOS. The protective effect of breast milk feeding against many infections has been studied but data on the effect of breast milk feeding on LOS mortality are limited. In this study, we aimed to evaluate the risk factors for LOS-related mortality. Methods This single-center, case–control study was conducted retrospectively from August 2013 to July 2018. VLBW newborns with ≤32 weeks of gestational age who had culture-proven LOS were included in the study. Demographics, clinical and laboratory data, and parenteral and enteral feeding details within 72 hours before LOS episodes were extracted from electronic and paper medical records. Results A total of 190 LOS episodes were identified in 168 VLBW newborns with a median birth weight of 888 (695–1,143) g. Lower birth weight (adjusted odds ratio [aOR] 0.81, 95% confidence interval [CI] [0.69–0.96], p = 0.01), C-section delivery (aOR 0.38, 95% CI [0.17–0.84], p = 0.02), gram-negative (aOR 4.97, 95% CI [2.01–12.28], p = 0.001) and polymicrobial sepsis (aOR 6.29, 95% CI [1.34–29.47], p = 0.03), and lower breast milk feeding 72 hours before LOS episodes (aOR 0.89, 95% CI [0.80–0.99], p = 0.03) were independently associated with higher odds of LOS related death. Conclusion Gram-negative sepsis was associated with higher odds of LOS mortality and C-section delivery was associated with lower odds of LOS mortality. Additionally, every 10 mL/kg/day increase in breast milk feeding was associated with 11% lower odds of LOS mortality although this finding should be interpreted cautiously as there may be unadjusted confounders due to the study design. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: Care plans summarize a child with medical complexity's (CMC) medical history and ongoing care needs. Often, the health care team controls the care plan content, limiting caregivers' ability to edit the document in real time and potentially compromising accuracy and utility. With this study, we aimed to provide caregivers of CMC with online access and shared editing control of their child's care plan and to explore the experiences of caregivers and care team members (CTMs) after using an online collaborative care plan (OCCP). METHODS: Caregivers of CMC were recruited from a tertiary complex care program to use an online, patient-facing platform for 6 months, which included the ability to edit and share their child's care plan. Caregivers and CTMs participated in semi-structured interviews to explore their experiences in using the OCCP. Consistent with grounded theory methodology, a constant comparative analysis was used, which allowed for theoretical sampling and theory generation. RESULTS: A total of 15 caregivers and 20 CTMs completed interviews. Interviews revealed 3 major themes and 9 subthemes, including (1) the navigation of uncharted roles (trust, responsibility), (2) the requirements for success (electronic medical record integration, online access, collaborative care plan review), and (3) cohesive care (accessibility and convenience, being on the same page, autonomy). Themes informed the creation of a theoretical model for the implementation and utility of OCCPs. CONCLUSIONS: Online, collaborative care plans, when implemented safely and thoughtfully, promote shared understanding, improve caregiver autonomy, and increase the accessibility of health information. Together, these benefits facilitate cohesive care and authentic partnership between caregivers and CTMs in the care of CMC. [ABSTRACT FROM AUTHOR]

There are >390 000 children in foster care (ie, in the custody of a county or state children's services agency and placed with temporary caregivers, including licensed foster caregivers, approved kinship caregivers, or in congregate or independent living situations with staff serving as caregivers) in the United States. Children in foster care face many health challenges compared with the general population, including increased rates of substance use and substance use disorders. Standardized screening, through Screening, Brief Intervention, and Referral to Treatment (SBIRT), is an evidence-based approach that assesses current substance use and provides the appropriate level of treatment. For standardized screening to be effective, substance use disclosure is critical. Adolescents report preferring self-administered (paper, digital) substance use screeners and response patterns suggest adolescents disclose substance use reliably. Electronic health record advances have made tablet-based screening efficient and cost-effective. However, before accepting tablet-based standardized substance use screening as a standard of care among youth in foster care, it is important to describe the validity of standardized substance use screening in a foster care clinic and factors associated with patterns of responding. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: Place-based social disadvantage indices are increasingly used to pro- mote health equity, but vary in design. We compared associations between 3 commonly used indices (Social Vulnerability Index [SVI], Area Deprivation Index [ADI], and Child Opportunity Index [COI]) and infant well-child check (WCC) attendance and adolescent obesity. We hypothesized that the COI would have the strongest association with child health outcomes. METHODS: We conducted a cross-sectional analysis of 2014-2019 Duke University Health System electronic health record data. Eligible participants were ≤ 18 years old, had outpatient encounters during the study period, and resided in Durham County, North Carolina. We aggregated indices into deciles; higher deciles represented greater disadvantage. Multivariable logistic regression models quantified the association between each index and infant WCC attendance (ages 0-15 months) and adolescent obesity (11-17 years). RESULTS: There were 10 175 and 14 961 children in the WCC and obesity cohorts, respectively. All 3 indices were similarly associated with WCCs (SVI odds ratio [OR] 1.10, 95% confidence interval [CI] 1.08-1.12; ADI OR 1.10, 95% CI 1.08-1.12; COI OR 1.12, 95% CI 1.10-1.14) and obesity (SVI OR 1.06, 95% CI 1.04-1.07; ADI OR 1.08, 95% CI 1.06-1.10; COI OR 1.07, 95% CI 1.05-1.08). ORs indicate the increase in the outcome odds for every 1-decile index score increase. CONCLUSIONS: Higher disadvantage as defined by all 3 indices was similarly associated with adolescent obesity and decreased infant WCC attendance. The SVI, ADI, and COI may be equally suitable for pediatric research, but population and outcome characteristics should be considered when selecting an index. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: Failed extubations are associated with pulmonary morbidity in hospitalized premature newborns. The objective of this study was to use quality improvement methodology to reduce failed extubations through practice standardization and integrating a real-time extubation success calculator into the electronic medical record (EMR). METHODS: A specific, measurable, achievable, relevant, and time-bound aim was developed to reduce failed extubations (defined as reintubation <5 days from primary extubation) by 50% among infants <32 weeks' gestational age (GA) or <1500 g birth weight by December 31, 2022. Plan-do-study-act cycles were developed to standardize postextubation respiratory support and integrate the EMR-based calculator. Outcome measures included extubation failure rates. Balancing measures included days on mechanical ventilation and number of patients intubated <3 days. Process measures were followed for guideline compliance. Statistical process control charts were used to track time-ordered data and detect special cause variation. RESULTS: We observed a reduction in failed extubations from 10.3% to 2.3%, with special cause variation noted after both plan-do-study-act cycle #1 and #2. Special cause variation was detected in both GA subgroups: <28 weeks' GA (22.0%-8.6%) and ≥28 weeks' GA (4.6%-0.3%). Additionally, the average number of infants intubated <3 days increased (60.2%-73.6%), whereas average ventilator days decreased (10.8-7.0). Finally, the time from infants' extubation score reaching threshold (≥60%) to extubation decreased (14.1-6.4 days) after launching the EMR-integrated calculator. CONCLUSIONS: Practice standardization and implementation of an EMR-based real-time clinical decision support tool improved extubation success, promoted earlier extubation, and reduced ventilator days in premature newborns. [ABSTRACT FROM AUTHOR]

The article focuses on assessing whether sites of primary lesions in pemphigus vulgaris (PV) are more susceptible to relapse. It identifies the anatomical locations where initial lesions occur and determines if these same sites are more likely to experience relapses. It suggests that tissue-resident memory T cells may play a significant role in this phenomenon, potentially explaining why certain sites are recurrently affected.

Background Chat Generative Pre-trained Transformer (ChatGPT) and other ChatBots have emerged as tools for interacting with information in manners resembling natural human speech. Consequently, the technology is used across various disciplines, including business, education, and even in biomedical sciences. There is a need to better understand how ChatGPT can be used to advance gerontology research. Therefore, we evaluated ChatGPT responses to questions on specific topics in gerontology research, and brainstormed recommendations for its use in the field. Methods We conducted semistructured brainstorming sessions to identify uses of ChatGPT in gerontology research. We divided a team of multidisciplinary researchers into 4 topical groups: (a) gero-clinical science, (b) basic geroscience, (c) informatics as it relates to electronic health records, and (d) gero-technology. Each group prompted ChatGPT on a theory-, methods-, and interpretation-based question and rated responses for accuracy and completeness based on standardized scales. Results ChatGPT responses were rated by all groups as generally accurate. However, the completeness of responses was rated lower, except by members of the informatics group, who rated responses as highly comprehensive. Conclusions ChatGPT accurately depicts some major concepts in gerontological research. However, researchers have an important role in critically appraising the completeness of its responses. Having a single generalized resource like ChatGPT may help summarize the preponderance of evidence in the field to identify gaps in knowledge and promote cross-disciplinary collaboration. [ABSTRACT FROM AUTHOR]

Background: Age‐related changes in the gastrointestinal system are common and may be influenced by physiological aging processes. To date, a comprehensive analysis of esophageal motor disorders in patients belonging to various age groups has not been adequately reported. Methods: We conducted a retrospective assessment of high‐resolution manometry (HRM) studies in a multicenter setting. HRM parameters were evaluated according to the Chicago Classification version 4.0. Epidemiological, demographic, clinical data, and main manometric parameters, were collected at the time of the examination. Age groups were categorized as early adulthood (<35 years), early middle‐age (35–49 years), late middle‐age (50–64 years), and late adulthood (≥65 years). Results: Overall, 1341 patients (632, 47.0% male) were included with a median age of 55 years. Late adulthood patients reported more frequently dysphagia (35.2%) than early adulthood patients (24.0%, p = 0.035), early middle‐age patients (21.0%, p < 0.0001), and late middle‐aged patients (22.7%, p < 0.0001). Esophagogastric junction outflow obstruction was more prevalent in late adulthood (16.7%) than in early adulthood (6.1%, p = 0.003), and in early middle‐age (8.1%, p = 0.001). Patients with normal esophageal motility were significantly younger (52.0 years) than patients with hypercontractile esophagus (61.5 years), type III achalasia (59.6 years), esophagogastric junction outflow obstruction (59.4 years), absent contractility (57.2 years), and distal esophageal spasm (57.0 years), in multivariate model (p < 0.0001). Conclusion: The rate of esophageal motor disorders is higher in older patients, in particular esophagogastric junction outflow obstruction and hypercontractile esophagus. Future prospective studies are necessary to confirm our results and to find tailored strategies to improve clinical outcomes. [ABSTRACT FROM AUTHOR]

Today, the confidentiality and security of patient medical records is of great importance. This study proposes a scheme that aims to store, access, and share medical data without risking security vulnerabilities and attacks. In the proposed scheme, medical data are divided into sensitive and non-sensitive patient data. Three consensus mechanisms (Proof of Work (PoW), Proof of Stake (PoS), and Proof of Authority (PoA)) are implemented and compared to each other in terms of performance. The performance analysis of the proposed scheme shows that PoW provides approximately 21% and 9% better results than PoA and PoS for non-sensitive data in terms of block size, respectively. It also provides approximately 23% and 32% better results than PoA and PoS for sensitive data in terms of memory usage, respectively. The security analysis demonstrates that it has many security features and is strong against man-in-the-middle, impersonation, and modification attacks. [ABSTRACT FROM AUTHOR]

The eHealth sector has witnessed significant growth due to technological advancements, facilitating care delivery in patients' homes and moving away from traditional hospital settings. Blockchain and the Internet of Things (IoT) play pivotal roles in enhancing healthcare services, offering features such as remote patient monitoring, streamlined electronic medical record (EMR) management, drug traceability, and effective disease control, particularly during events like the COVID-19 pandemic. The growing utilization of IoT devices brings about security challenges, including concerns related to data integrity and device authentication. This paper proposes the integration of blockchain technology as a robust solution. Leveraging its decentralized and tamper-resistant features, blockchain establishes trust among diverse IoT devices, ensuring the integrity of IoT data. Additionally, smart contracts enhance device authentication, fortifying overall security by addressing vulnerabilities associated with centralization. Regarding the management of eHealth, this survey begins with an overview of the industry, highlighting IoT-related challenges in healthcare. It explores various IoT applications in eHealth and discusses how blockchain can effectively address obstacles in healthcare management through IoT. Notably, the paper provides insights into examining consensus algorithm parameters within blockchain systems, clarifying the methodology used to assess and optimize these critical components. The survey extends to a thorough review of existing research on integrating blockchain-based IoT in eHealth. Finally, it presents an overview of challenges and potential solutions for implementing blockchain-based IoT in the eHealth sector. This comprehensive survey aims to empower stakeholders by providing insights to enhance patient care in this dynamic and evolving field. [ABSTRACT FROM AUTHOR]

Introduction: Guidelines recommend that patients with acute venous thromboembolism (VTE) represented by low-risk deep vein thrombosis (DVT) and pulmonary embolism (PE) receive initial treatment at home versus at the hospital, but a large percentage of these patients are not managed at home. This study assessed the effectiveness of a quality intervention on provider knowledge and confidence in evaluating outpatient treatment for patients with VTE in the emergency department (ED). Methods: A pilot program to overcome obstacles to outpatient VTE treatment in appropriate patients was initiated at Baylor Scott & White Health Temple ED. Subsequently, a formalized quality intervention with a targeted educational program was developed and delivered to ED providers. Provider surveys were administered pre- and post-quality intervention in order to assess clinical knowledge, confidence levels, and perceived barriers. Patient discharge information was extracted from electronic health records. Results: Twenty-five ED providers completed the pre- and post-surveys; 690 and 356 patients with VTE were included in the pre- and post-pilot and pre- and post-quality intervention periods, respectively. Many ED providers reported that a major barrier to discharging patients to outpatient care was the lack of available and adequate patient follow-up appointments. Notably, after the quality intervention, an increase in provider clinical knowledge and confidence scores was observed. Discharge rates for patients with VTE increased from 25.6% to 27.5% after the pilot intervention and increased from 28.5% to 29.9% after the quality intervention, but these differences were not statistically significant. Despite instantaneous uptick in discharge rates after the interventions, there was not a long-lasting effect. Conclusion: Although the quality intervention led to improvements in provider clinical knowledge and confidence and identified barriers to discharging patients with VTE, discharge rates remained stable, underscoring the need for additional endeavors. Plain Language Summary: When patients develop blood clots in their veins or have blood clots travel to their lungs, they may seek treatment at the hospital emergency department. As a best practice, most people can treat blood clots with medicines at home; however, many patients are treated at the hospital. This study looked at how an education program for doctors in the hospital could help more patients be treated at home. The education program improved doctors' knowledge and confidence when evaluating patients with blood clots who could be treated at home. However, this study found that the number of patients treated at home was the same before and after the doctors participated in the education program. Two major problems that prevented patients from being treated at home were not having follow-up appointments readily available and patients taking their medicine as needed. More and different types of programs may help doctors understand the best ways to treat patients with blood clots in the emergency department. [ABSTRACT FROM AUTHOR]

Background: The effectiveness of statin treatment to reduce coronary events and mortality has been hardly examined considering goals of LDL‐C. We aimed to analyse such association in secondary cardiovascular prevention. Methods: Retrospective cohort analysis of electronic health records from the SIDIAP database, Catalonia‐Spain. Recruitment period was from 2006 to 2017 and study period finished at the end of 2018. We included 54,175 people aged ≥35 years in cardiovascular secondary prevention starting statin treatment. We analysed the association of achieved LDL‐C goals after statin initiation with coronary heart disease and all‐cause mortality. Results: Mean age was 69 years and 20,146 (37.2%) were women. Coronary heart disease occurred in 5687 (10.5%) participants, and 10,676 (19.7%) persons passed away. Median follow‐up lasted 5.7 years (interquartile range, 3.4–8.1). The coronary heart disease HRs (95% CI) for the LDL‐C goals of 70–100, <70–55 and <55 mg/dL were.86 (.81–.92),.83 (.76–.9) and.8 (.72–.88), respectively. They were.89 (.83–.96) in the group with 30%–40% reduction and.86 (.8–.93) in the groups with 40%–50% and ≥50% reduction. We observed no association with mortality. We observed no relevant differences by sex or age. Conclusions: This population‐level retrospective analysis of real‐world data observed that treatment with statins is effective to achieve certain LDL‐C goals and CHD reduction. The lack of significant difference between LDL‐C goals needs confirmation in additional studies with real‐world data. The LDL‐C target should consider the magnitude of the decrease in coronary events. [ABSTRACT FROM AUTHOR]

The role of germline genetic testing in urologic oncology has expanded in recent years. However, implementation of genetic testing in community practices remains a challenge, often due to limited access to qualified genetics trained providers. In this study, we report outcomes of a universal germline screening program in a community urology practice. Between November 2021 and September 2022, all patients referred for urology clinic visits at Frederick Health (Frederick, MD, USA) were provided an online genetics screening questionnaire prior to the visit. Responses were compared against National Comprehensive Cancer Network (NCCN) criteria for germline testing. Those who met criteria were provided educational materials at the end of the questionnaire, and then counseled by a trained urologic oncologist (HC) in the clinic or referred to a genetic counselor prior to testing. Testing was performed with a 36‐gene pan‐cancer panel (CancerNext) or a 14‐gene targeted prostate cancer panel (ProstateNext), with or without additional RNA analysis (RNAinsight) (Ambry Genetics, CA, USA). Demographic and clinical parameters, as well as genetic testing results, were retrospectively collected under IRB approval. In the study period, 765 patients were seen over 1370 clinic visits. Of these, 505 patients (66.0%) completed the screening questionnaire. The majority were completed via email (54.5%) with the remainder (45.5%) via text message. Of the patients who completed screening, 125/505 (24.7%) met NCCN criteria for germline testing. 58/125 patients (46.4%) who met criteria underwent germline testing, of whom 5/58 (8.6%) had distinct pathogenic mutations identified. These included actionable mutations in BRCA1, BRCA2, and CHEK2, as well as an additional pathogenic mutation in NBN. Variants of unknown significance were identified in 8/58 patients (13.8%) in 11 total genes. Challenges to implementation of this program included meeting institutional requirements for genetic testing consent, facilitating specimen collection in clinic, and integration of results into the electronic health record. Genetic risk assessment for high‐risk individuals is feasible as part of a universal screening program in a community urology practice. Approximately 8% of tested patients were found to have pathogenic germline mutations, which is consistent with contemporary tertiary referral cohorts. [ABSTRACT FROM AUTHOR]

Background Many adolescents with type 1 diabetes experience diabetes distress which is associated with suboptimal glycemic and psychosocial outcomes. The ways in which adolescents respond to diabetes distress may serve as a risk or protective factor for these outcomes, but few studies have examined the coping strategies adolescents use to manage diabetes distress. Purpose To examine the association of coping strategies with glycemic and psychosocial outcomes among adolescents experiencing diabetes distress. Methods Participants included 198 adolescents with elevated diabetes distress who completed baseline data for a randomized controlled trial (M age = 15.3 ± 1.4, 58% female, 58% non-Hispanic White, M A1c = 9.1 ± 2.1%). Adolescents reported on their use of coping strategies related to diabetes stressors, including primary control engagement coping (e.g. problem-solving), secondary control engagement coping (e.g. positive thinking), and disengagement coping (e.g. avoidance). Adolescents also completed measures of diabetes distress, quality of life, and resilience. HbA1c data were extracted from electronic medical records and at-home kits. Results Higher use of primary control engagement coping was associated with better glycemic and psychosocial outcomes. Secondary control engagement coping was associated with better psychosocial outcomes but not glycemic outcomes. Greater use of disengagement coping strategies was associated with poorer glycemic and psychosocial outcomes. All associations were significant after adjusting for adolescent sex, age, race/ethnicity, and continuous glucose monitor use. Conclusions These results build on prior findings by including a more diverse sample of adolescents and highlight the value of promoting engagement coping strategies and discouraging the use of disengagement coping strategies among adolescents experiencing diabetes distress. Clinical Trial information NCT03845465. [ABSTRACT FROM AUTHOR]

The American College of Rheumatology and the US Food and Drug Administration co‐sponsored a public meeting in May 2022 about challenges in the clinical development of drugs for rheumatoid arthritis (RA) and psoriatic arthritis (PsA), focusing on innovative clinical trial designs, outcome measures, and data collection methods. Recommendations include early dose‐ranging studies and use of active comparators. Challenges and opportunities in assessing long‐term safety by leveraging real‐world data from electronic health records (EHRs) and claims data are discussed, along with insights from European registries and the evolving role of real‐world evidence and artificial intelligence in regulatory evaluations. Endpoints for assessing disease activity and outcome measures used in RA and PsA trials are explored, emphasizing challenges in defining remission, assessing clinical response, and evaluating structural progression. The need for outcome measures that better reflect treatment targets and the potential of advanced imaging in future trials are highlighted. Challenges with placebo‐controlled trials in RA are discussed and use of non‐inferiority clinical trial design, in which new drugs are evaluated with active comparators, is proposed. Pragmatic trials in RA and PsA, employing decentralized approaches, are highlighted for their real‐world relevance and administrative efficiencies. Strategies for identifying at‐risk populations for RA and the challenges of using EHRs and insurance claims data in drug development are discussed. Registry data and digital health technologies show promise in bridging the gap between clinical trials and real‐world effectiveness. [ABSTRACT FROM AUTHOR]

Background: Primary care (PC) offers an opportunity to treat opioid use disorders (OUD). The Substance Use Symptom Checklist ("Checklist") can assess DSM-5 substance use disorder (SUD) symptoms in PC. Objective: To test the psychometric properties of the Checklist among PC patients with OUD or long-term opioid therapy (LTOT) in Kaiser Permanente Washington (KPWA). Design: Observational study using item response theory (IRT) and differential item functioning (DIF) analyses of measurement consistency across age, sex, race and ethnicity, and receipt of treatment. Patients: Electronic health records (EHR) data were extracted for all adult PC patients visiting KPWA 3/1/15–8/30/2020 who had ≥ 1 Checklist documented and indication of either (a) clinically-recognized OUD (i.e., documented OUD diagnosis and/or OUD medication treatment) or (b) LTOT in the year prior to the checklist. Main measure: The Checklist includes 11 items reflecting DSM-5 criteria for SUD. We described the prevalence of 2 SUD symptoms reported on the Checklist (consistent with mild-severe DSM-5 SUD). Analyses were conducted in the overall sample and in two subsamples (clinically-recognized OUD and LTOT only). Key Results: Among 2007 eligible patients, 39.9% endorsed ≥ 2 SUD symptoms (74.3% in the clinically-recognized OUD subsample and 13.1% in LTOT subsample). IRT indicated that a unidimensional model for the 11 checklist items had excellent fit (comparative fit index = 0.998) with high item-level discrimination parameters for the overall sample and both subsamples. DIF across age, race and ethnicity, and treatment was observed for one item each, but had minimal impact on expected number of criteria (0–11) patients endorse. Conclusions: The Substance Use Symptom Checklist measured SUD symptoms consistent with DSM-5 conceptualization (scaled, unidimensional) in patients with clinically-recognized OUD and LTOT and had similar measurement properties across demographic subgroups. The Checklist may support symptom assessment in patients with OUD and diagnosis in patients with LTOT. [ABSTRACT FROM AUTHOR]

Background: Primary care providers (PCPs) are often the first point of contact for discussing lung cancer screening (LCS) with patients. While guidelines recommend against screening people with limited life expectancy (LLE) who are less likely to benefit, these patients are regularly referred for LCS. Objective: We sought to understand barriers PCPs face to incorporating life expectancy into LCS decision-making for patients who otherwise meet eligibility criteria, and how a hypothetical point-of-care tool could support patient selection. Design: Qualitative study based on semi-structured telephone interviews. Participants: Thirty-one PCPs who refer patients for LCS, from six Veterans Health Administration facilities. Approach: We thematically analyzed interviews to understand how PCPs incorporated life expectancy into LCS decision-making and PCPs' receptivity to a point-of-care tool to support patient selection. Final themes were organized according to the Cabana et al. framework Why Don't Physicians Follow Clinical Practice Guidelines, capturing the influence of clinician knowledge, attitudes, and behavior on LCS appropriateness determinations. Key Results: PCP referrals to LCS for patients with LLE were influenced by limited knowledge of the life expectancy threshold at which patients are less likely to benefit from LCS, discomfort estimating life expectancy, fear of missing cancer at the point of early detection, and prioritization of factors such as quality of life, patient values, clinician-patient relationship, and family support. PCPs were receptive to a decision support tool to inform and communicate LCS appropriateness decisions if easy to use and integrated into clinical workflows. Conclusions: Our study suggests knowledge gaps and attitudes may drive decisions to offer screening despite LLE, a behavior counter to guideline recommendations. Integrating a LCS decision support tool that incorporates life expectancy within the electronic medical record and existing clinical workflows may be one acceptable solution to improve guideline concordance and increase confidence in selecting high benefit patients for LCS. [ABSTRACT FROM AUTHOR]

The cardiac rehabilitation quality indicators (CRQIs) developed by the Canadian Cardiovascular Society provide a means to standardize program assessment and identify sex-related inequities. No formal evaluation of the CRQIs has been conducted in Manitoba. An environmental scan for the CRQIs was performed using data in the electronic medical record at two cardiac rehabilitation (CR) sites in Winnipeg for 2016–2019 referrals. Of the 8116 referrals, 7758 (5491 males and 2267 females) had geographical access and were eligible for CR. The Manitoba Centre for Health Policy Data Quality Framework informed the data quality assessment. Thirteen CRQIs were available; four were considered high quality; nine demonstrated moderate to significant missing data. In addition to missing values, potential misclassification of risk (CR-4) and physiologically implausible and invalid dates were assessed and identified (CR-13 and CR-17). Each site had a physician medical director (CR-31) and a documented emergency response strategy (CR-32). Only high-quality data were evaluated for sex-related differences using chi-square and median tests. Women had lower enrollment (CR-3), and more women enrolled after the median of 41 days (CR-2b). Engagement with CR partners, including frontline staff, and utilizing strategies to assess and limit physiologically implausible values and dates will enhance data capture and quality. [ABSTRACT FROM AUTHOR]

Systemic lupus erythematosus (SLE) is an autoimmune disease with a variable course with unpredictable flares. Identifying predictors of these flares is essential for monitoring and timely hospital care. To characterize the prevalence of flares within the first five years of SLE diagnosis and determine the clinical and immunological characteristics associated with flare development among patients attending the Rheumatology Clinic at Tikur Anbesa Specialized Hospital (TASH) and Lancet General Hospital. A multicenter, cross-sectional study was conducted from May 2023 to November 2023 at TASH and Lancet General Hospital. The data was collected from electronic medical records and analyzed using SPSS version 26. Logistic regressions were used to determine factors associated with lupus flare. Most patients with SLE were female (95.4%). The most common clinical presentations were musculoskeletal (71.8%), cutaneous (55%), and constitutional (22%). Almost half (44.3%) of the patients had comorbidity illness. Positive ANA test was found in 96.5% of the patients, whereas only 55% had positive anti-dsDNA test. The prevalence of SLE flare in the first five years of SLE diagnosis was 38.9%, and most flares occurred within the first year of diagnosis. Patients with the following characteristics were more likely to have flare-ups: younger age at diagnosis (less than 25 years old), initial presentation with vasculitis, renal flare, and being on low-dose prednisolone. The most common clinical presentations were musculoskeletal, dermatologic, and constitutional manifestations. Age < 25 years at diagnosis, initial clinical presentation with renal manifestation, and being on low-dose prednisolone were predictors of SLE flare. Key Points • This study found a significant gender disparity, with 95% female. • Nearly 39% of patients experienced an SLE flare within the first five years of diagnosis. • Over three-quarters (77%) of flares occurred within the first year of diagnosis. • Age less than 25 years, initial presentation with vasculitis, renal involvement, and being on low-dose prednisolone were identified as predictors of flares. [ABSTRACT FROM AUTHOR]

Aim: To compare the effectiveness of different basal insulins (BI) prescribed as an add‐on to or switch from glucagon‐like peptide‐1 receptor agonist (GLP‐1 RA) therapy. Materials and Methods: Retrospective, real‐world data from electronic medical records of 32 Italian diabetes clinics were used, after propensity score adjustment, to compare effectiveness after 6 months of treatment with second‐ versus first‐generation BI (2BI vs. 1BI) or glargine 300 U/ml versus degludec 100 U/ml (Gla‐300 vs. Deg‐100), when added to (ADD‐ON) or in substitution of (SWITCH) GLP‐1 RA. Only comparisons, including a minimum of 100 patients per group, were performed to ensure adequate robustness of the analyses. Results: In the ADD‐ON cohort (N = 700), greater benefits of 2BI versus 1BI were found in glycated haemoglobin {HbA1c; estimated mean difference: −0.32% [95% confidence interval (CI) −0.62; −0.02]; p =.04} and fasting blood glucose [FBG; −20.73 mg/dl (95% CI −35.62; −5.84); p =.007]. In the SWITCH cohort (N = 2097), greater benefits of 2BI versus 1BI were found in HbA1c [−0.22% (95% CI −0.42; −0.02); p =.03], FBG [−10.15 mg/dl (95% CI −19.04; −1.26); p =.03], and body weight [−0.67 kg (95% CI −1.30; −0.04); p =.04]. In the SWITCH cohort starting 2BI (N = 688), marked differences in favour of Gla‐300 versus Deg‐100 were documented in HbA1c [−0.89% (95% CI −1.26; −0.52); p <.001] and FBG [−17.89 mg/dl (95% CI −32.45; −3.33); p =.02]. Using propensity score matching as a sensitivity analysis, the benefit on HbA1c was confirmed [−0.55% (95% CI –1.02; −0.08); p =.02]. BI titration was suboptimal in all examined cohorts. Conclusions: 2BI are a valuable option to intensify GLP‐1 RA therapy. Switching to Gla‐300 versus Deg‐100 was associated with greater HbA1c improvement. [ABSTRACT FROM AUTHOR]

Background: Many patients critically ill with COVID-19 develop acute respiratory distress syndrome (ARDS) necessitating mechanical ventilation and proning. Although proning is lifesaving, it has been linked to the occurrence of facial pressure injuries (PIs). Objectives: To evaluate the incidence and use of prevention strategies and identify predictors of facial PIs in patients who received ventilator and proning treatments in COVID-designated intensive care units at 2 large quaternary medical centers in the Midwest. Method: This was a retrospective cohort study using data extracted from an electronic health record between October 2020 and February 2022. Demographics, clinical and care variables, and PI outcomes were analyzed to identify predictors of PI using logistic and Cox regression. Results: The cohort (N = 150) included patients from 2 units, unit a (n = 97) and unit b (n = 53) with a mean age of 60 years, with 68% identifying as male. Patients were vented for an average of 18 (SD, 16.2) days and proned for an average of 3 (SD, 2.5) days. Many (71%) died. Over half (56%) developed facial PI with a proning-exposure-adjusted incidence rate of 18.5%. Patients with PI were significantly different in several factors. Logistic regression showed predictors of PIs were duration of mechanical ventilation (in days; P = .02) and head turned (P = .01). Cox regression also identified head turn as predictive (P < .01), with Black/African American race as protective (P = .03) Discussion: Critically ill patients with COVID-19 receiving ventilator and proning therapy developed facial PIs despite the use of recommended prevention practices. Further research on effective PI prevention strategies is needed. [ABSTRACT FROM AUTHOR]

Background: Nursing interventions in the care of pediatric patients with severe traumatic brain injury (TBI) can have a direct effect on intracranial pressure (ICP), yet they have been largely underexplored. Early evidence is therefore needed to describe these relationships and to determine intervention that promotes neuroprotection and recovery. Objectives: The aim of this study was to examine nursing interventions within the first 72 hours of pediatric severe TBI and their effects on ICP. Method: This is a retrospective review of pediatric patients admitted for severe TBI using a quasiexperimental approach to assess nursing interventions and their association with the patients' ICP values prior to and after each intervention. Results: Of the 56 patients who met the inclusion criteria, 3392 intervention events (range, 31-138 events per patient) were reported. Paired t tests conducted for each intervention type found a statistically significant relationship with suctioning and percent change in ICP values (P = .045). All other interventions showed no significant differences. Discussion: Standard nursing interventions, specifically suctioning, in pediatric severe TBI may affect ICP and therefore neuroprotection. Further work is needed to better understand the role and timing of nursing interventions and their influence on cerebral hemodynamics so that future TBI guidelines consider nursing care and their impact on brain injury recovery. [ABSTRACT FROM AUTHOR]

Background: Excessive tension at the anastomosis contributes to anastomotic leakage (AL) in low anterior resection (LAR). However, the specific tension has not been measured. We assessed whether "Bridging," characterized by the proximal colon resembling a suspension bridge above the pelvic floor, is a significant risk factor for AL following LAR for rectal cancer. Methods: This retrospective study reviewed the medical records and laparoscopic videos of 102 patients who underwent laparoscopic LAR using the double stapling technique at Yachiyo Hospital between January 2014 and December 2023. Patients were classified based on whether they had Bridging (tight or sagging) or were in a Resting state of the proximal colon, and the association between Bridging and AL was examined. Results: AL occurred in 31.3% of the Tight Bridging group, 20% of the Sagging Bridging group, and 2.2% of the Resting group (P = 0.002). The incidence of AL was significantly higher in patients with Bridging than in those without (23.2% vs. 2.2%, P = 0.003). Multivariate analysis revealed that Bridging is an independent risk factor for AL (odds ratio = 6.97; 95% confidence interval: 1.45–33.6; P = 0.016). Conclusions: The presence of Bridging is a significant risk factor for AL following LAR for rectal cancer, suggesting the need for implementing preventive measures in patients with this condition. [ABSTRACT FROM AUTHOR]

Introduction: Genetic aetiology is suspected in the development of early‐onset high myopia (spherical equivalent refractive error [SER] ≤−6.00 D at ≤6 years of age), considering that the role of environmental factors in inducing high myopia is improbable at an early age. Therefore, we aimed to understand if early‐onset high myopia is associated with parental myopia in a clinical setting. Methods: A retrospective study was conducted in which information about demographics, age of apparent onset of myopia, refractive error, axial length, number of myopic parents, time spent outdoors and time spent on near‐work was obtained from electronic medical records (EMR). It included 195 myopic individuals categorised into (1) Early‐onset high myopes (EOHM): SER ≤ −6.00 D with age of presentation ≤6 years, (2) Early‐onset low myopes (EOLM): SER > −6.00 D with age of apparent onset ≤6 years, (3) Late‐onset high myopes (LOHM): SER ≤ −6.00 D with age of presentation and age of apparent onset >6 years and (4) Late‐onset low myopes (LOLM): SER > −6.00 D with age of apparent onset >6 years. Results: Overall, 63% of individuals were found to have parental myopia. The proportion of individuals with EOHM, EOLM, LOHM and LOLM with parental myopia was 57%, 74%, 53% and 64%, respectively. After adjustment for age, gender and environmental factors, the odds of development of EOHM (Odds ratio: 0.78, 95% confidence interval: 0.25–2.48), EOLM (1.54, 0.65–3.67) or LOHM (0.70, 0.30–1.65) were similar in the presence of myopic parents, when compared with LOLM. The SER and axial length did not differ based on the number of myopic parents in any of these categories. Conclusion: This retrospective analysis reveals that the presence of parental myopia, which was self‐reported, did not induce additional risk for early‐onset high myopia. [ABSTRACT FROM AUTHOR]

Introduction: Lung cancer screening rates are very low despite a level B recommendation from the United States Preventive Services Task Force since 2013 and clear evidence that lung cancer screening reduces mortality. The Center for Medicare and Medicaid Services requires shared decision-making (SDM) for lung cancer screening reimbursement. The objective of this study was to determine the effect of an SDM intervention on lung cancer screening in primary care. Methods: The study design was a single-arm clinical trial design. The intervention included phone contact outside of a primary care visit and the use of the Decision Counseling Program ®, an online interactive decision aid focused on determining the factors which influence patients to screen or not screen, prioritizing those factors, and determining a decision preference score. The primary outcome was the completion of low-dose computed tomography scan (LDCT) 1 year after the SDM session compared in participants versus nonparticipants. Results: From six practices, there were 1359 potentially eligible patients in electronic medical record data, and 336 were reached to assess eligibility criteria. A total of 80 patients consented to be in the study, 64 completed a decision counseling session and 16 did not complete a session. Among the 64 people who agreed to have decision counseling, 45% had LDCT, higher than typically seen in routine clinical practice. Although not a comparable group, among the 16 people who declined decision counseling, none had LDCT. Conclusions: Decision counseling is a promising intervention that might support SDM in the context of improving uptake of lung cancer screening in primary care. However, further, larger studies are needed. [ABSTRACT FROM AUTHOR]

Sepsis is the most common cause of acute kidney injury (AKI) in critically ill patients. Four phenotypes (α, β, γ, δ) for sepsis, which have different outcomes and responses to treatment, were described using routine clinical data in the electronic health record. Do the frequencies of AKI, acute kidney disease (AKD), chronic kidney disease (CKD), and AKI on CKD differ by sepsis phenotype? This was a secondary analysis of a randomized clinical trial of early resuscitation, including patients with septic shock at 31 sites. After excluding patients with end-stage kidney disease and missing data, we determined frequencies of the following clinical outcomes: AKI (defined within 24 h as Kidney Disease: Improving Global Outcomes stages 2 or 3 or stage 1 with tissue inhibitor of metalloproteinases-2 × insulin-like growth factor binding protein 7 value of > 2.0), CKD, and AKD (persistence of AKI at any stage on day 7 after enrollment) across four phenotypes. We performed multivariable logistic regression to assess the risk-adjusted association between development of AKI and AKD and phenotype. Among 1,090 eligible patients, 543 patients (50%) had AKI. Across phenotypes, the frequencies of AKI varied, being highest in the δ and β phenotypes (78% and 71%, respectively) and the lowest in the α phenotype (26%; P <. 001). AKD occurred most often in the δ phenotype (41%) and least often in the α phenotype (8%; P <. 001). The highest frequencies of CKD and of AKI on CKD were found in the β phenotype (53% and 38% respectively; P <. 001 for both). In the multivariable logistic regression models (α phenotype as reference), δ phenotype showed the strongest association with AKI (OR, 12.33; 95% CI, 7.81-19.47; P <. 001) and AKD (OR, 9.18; 95% CI, 5.44-15.51; P <. 001). The rates of AKI and AKD differed across clinical sepsis phenotypes and are more common among patients with phenotypes β and δ. Phenotype β showed a higher level of underlying CKD that predisposed patients to new AKI. The α and γ phenotypes showed lower frequencies of AKI and less progression to AKD. [Display omitted] [ABSTRACT FROM AUTHOR]

Comorbid anxiety and depression predict a poorer prognosis than either disorder occurring alone. It is unclear whether self-reported anxiety symptom scores identify patients with depression in need of more intensive mental health services. This study evaluated how anxiety symptoms predicted treatment receipt and outcomes among patients with new depression diagnoses in the Veterans Health Administration (VHA). Electronic medical record data from 128,917 VHA patients (71.6% assessed for anxiety, n = 92,237) with new diagnoses of depression were analyzed to examine how Generalized Anxiety Disorder-7 (GAD-7) scores predicted psychotropic medication prescriptions, psychotherapy receipt, acute care service utilization, and follow-up depression symptoms. Patients who reported severe symptoms of anxiety were significantly more likely to receive adequate acute phase and continuation phase antidepressant treatment, daytime anxiolytics/sedatives, nighttime sedative/hypnotics, and endorse more severe depression symptoms and suicidal ideation at follow-up. Patients who reported severe symptoms of anxiety at baseline were less likely to initiate psychotherapy. The GAD-7 may help identify depressed patients who have more severe disease burden and require additional mental health services. [ABSTRACT FROM AUTHOR]

BACKGROUND: Point-of-care ultrasound (POCUS) is a pivotal diagnostic tool for emergent conditions, yet the variable proficiency of emergency physicians (EPs) poses challenges. Inadequate skills may lead to care delays and suboptimal patient evaluation. This manuscript explores an innovative educational intervention deploying a Registered Diagnostic Medical Sonographer (RDMS) credentialed sonographer educator (SE) in a large academic Emergency Department (ED). We sought to evaluate the feasibility of using a SE to address POCUS skills deficiencies and attrition. METHODS: The study involved 26 EPs voluntarily participating in hands-on training with the SE between July 2021–June 2022. The educational sessions addressed machine operation, image acquisition, image interpretation, and electronic medical record documentation of POCUS results. Subjects who consented completed a survey on their comfort level with POCUS before and after the intervention. RESULTS: Survey data indicated increased comfort and competence among participants with basic machine operation, resident POCUS supervision, and ordering and documenting POCUS exams. Post-training, 44% of providers reported performing more POCUS exams, 44% reported documenting their POCUS in the EMR more often clinically, 57% were more likely to encourage residents to perform scans, and 14% were more likely to perform a POCUS before ordering a comprehensive ultrasound. The study also observed an increase in the number of scans performed post-intervention (more than double). The SE intervention addressed challenges such as resource limitations, and feedback from participants highlighted the program’s positive impact, particularly in reducing intimidation and fostering a desire for further training. While self-reported data and limited survey completion pose limitations, the increase in POCUS scans and positive feedback underscore the intervention’s potential. CONCLUSIONS: This pilot study demonstrates the feasibility and initial impact of integrating a SE into an academic ED setting. Further research is warranted to assess the specific effects on provider comfort and clinical decision-making with POCUS. The findings support the value of a dedicated SE in enhancing EPs’ POCUS proficiency, promoting ongoing education, and ultimately improving patient care. [ABSTRACT FROM AUTHOR]

In some countries, pharmacists have obtained prescribing rights to improve quality and accessibility of care and reduce physician workload. This case study explored pharmacists' current roles in and potential for prescribing in primary care in the Netherlands, where prescribing rights for pharmacists do not exist. Participatory observations of pharmacists working in either general practice or community pharmacy were conducted, as were semi-structured interviews about current and potential practice. The latter were extended to patients and other healthcare professionals, mainly general practitioners, resulting in 34 interviews in total. Thematic analyses revealed that pharmacists, in all cases, wrote prescriptions that were then authorized by a physician before dispensing. General practice-based pharmacists often prescribed medications during patient consultations. Community pharmacists mainly influenced prescribing through (a) medication reviews where the physician and/or practice nurse often were consulted to make treatment decisions, and (b) collaborative agreements with physicians to start or substitute medications in specific situations. These findings imply that the pharmacists' current roles in prescribing in the Netherlands resemble collaborative prescribing practices in other countries. We also identified several issues that should be addressed before formally introducing pharmacist prescribing, such as definitions of tasks and responsibilities and prescribing-specific training for pharmacists. [ABSTRACT FROM AUTHOR]

Respiratory virus infections are related to over 80% of childhood asthma exacerbations. They enhance pro-inflammatory mediator release, especially for sensitized individuals exposed to pollens/molds. Using a time-series study design, we investigated possible effect modification by respiratory virus infections of the associations between aeroallergens/PM2.5 and asthma exacerbation rates. Outpatient, emergency department (ED), and inpatient visits for asthma exacerbation among children with asthma (28,540/24,444 [warm/cold season]), as well as viral infection counts were obtained from electronic health records of the Children's Hospital of Philadelphia from 2011 to 2016. Rate ratios (RRs, 90th percentile vs. 0) for late-season grass pollen were 1.00 (0.85–1.17), 1.04 (0.95–1.15), and 1.12 (0.96–1.32), respectively, for respiratory syncytial virus (RSV) counts within each tertile. However, similar trends were not observed for weed pollens/molds or PM2.5. Overall, our study provides little evidence supporting effect modification by respiratory viral infections. [ABSTRACT FROM AUTHOR]

Objective: This retrospective longitudinal study analyzed the demographic profile, insulin usage pattern, and outcomes of insulin-naive adults with type 2 diabetes mellitus (T2DM) who initiated insulin glargine. Methods: The study included 1006 insulin naive T2DM individuals aged ≥ 18 years, treated with any insulin type between January 2016 and December 2018, using electronic medical records. Results: Majority of participants were men (55.8%) with a mean age of 59.8 ± 11.9 years and average T2DM duration of 12.0 ± 6.6 years. Insulin glargine was the most commonly used insulin (66.9%), followed by insulin aspart (16.4%), insulin degludec (15.1%), human insulin (11.1%), and insulin isophane (9.2%). At baseline, the mean glycated hemoglobin (HbA1c) was 8.9 ± 1.9%, mean fasting plasma glucose (FPG) was 190 ± 59 mg/dL, and mean post-prandial plasma glucose (PPG) was 264 ± 78 mg/dL. In the insulin glargine group, baseline HbA1c was 9.0 ± 1.7%, FPG was 196 ± 62 mg/dL, and PPG was 283 ± 81 mg/dL. Throughout the study, there was an improvement in HbA1c, FPG, and PPG levels in the insulin glargine group. Body weight remained relatively stable, and the number of hypoglycemic events was minimal and non-life-threatening. Conclusion: The REALITY study in India demonstrated that initiating basal insulin treatment in insulin-naive individuals with T2DM led to improved glycemic parameters over a 12-month period. [ABSTRACT FROM AUTHOR]

Background: Physical restraint of patients in intensive care units (ICUs) has an estimated prevalence of 50%. Many medical centres do not have specific protocols for physical restraint, and the decision of whether to physically restrain a patient is up to the nursing staff. Disadvantages of physical restraint include injuries, exacerbation of agitation and an increased risk of developing post‐traumatic stress disorder (PTSD). Aim: To report prevalence and outcomes in terms of morbidity and mortality of physical restraint in general ICU patients in an 800‐bed secondary medical centre. Study Design: This retrospective study included 647 patients admitted to a general ICU in an 800‐bed secondary medical centre in Kfar Saba, Israel, between January and December 2020. Data included demographics, medical history, length of stay, need for mechanical ventilation, number of ventilation days, 28‐day mortality, reason for admission, agitation rate assessed by Richmond Agitation and Sedation Scale (RASS) score, need for physical restraint and need for anti‐psychotics. Results: Among the patients, 40% (256 of 647) required physical restraint. Older adult patients had a greater likelihood of being physically restrained along with those admitted because of sepsis or acute respiratory failure. Among the study sample, 11% (71 of 647) required anti‐psychotics. Patients who were restrained had longer duration of ventilation (5.9 ± 8.2 vs. 0.36 ± 1.4 days; p <.001) and higher 28‐day mortality (0.26 ± 0.45 vs. 0.07 ± 0.25, Z = 6.86, p <.001). There was no difference in medical history, except for chronic drug abuse, which was more frequent in the restraint group (18 [6.9%] vs. 11 [2.8%], respectively; p =.019), as well as the use of anti‐psychotic medications (24 [9.3%] vs. 19 [4.8%], respectively; p =.034) and anti‐depressants (55 [21.2%] vs. 59 [14.8%], respectively; p =.042). The restraint group had higher disease severity scores, as reflected in requirements for vasopressor support (174 [67.2%] vs. 69 [17.3%], respectively; p <.001) and need for dialysis (39 [15.1%] vs. 19 [4.8%], respectively; p <.001); higher frequency of in‐hospital anti‐psychotic treatment (60 [23.2%] vs. 11 [2.8%], respectively; p <.001); a greater tendency for agitation events and more severe agitation scores (episodes of RASS above zero [1.7 ± 4.0 vs. 0.04 ± 0.27, respectively; p <.001] and maximum RASS score [0.19 ± 1.6 vs. 0.01 ± 0.54, respectively; p <.001]). Overall, advanced age, number of ventilation days and need for dialysis were associated with increased 28‐day mortality. In the restraint group, advanced age, chronic use of diuretics and the use of dialysis during ICU admission were associated with increased mortality risk. Conclusions: Restrained patients tended to have higher morbidity and mortality during ICU and hospital stays, as well as a greater tendency for agitation events and more severe agitation scores, with an increased need for in‐hospital anti‐psychotic treatment. These findings regarding patient characteristics might be used to formulate treatment plans to reduce the rate of physical restraint in the ICU. Relevance to Clinical Practice: Because restrained ICU patients tend to have higher morbidity and mortality, treatment plans should be formulated to reduce the rate of physical restraint in the ICU. Clinical trial registration: NCT04771793. [ABSTRACT FROM AUTHOR]