Integrating Pre-test Probability and Point-of-Care Ultrasound (POCUS) in the Emergency Department (ED) Diagnosis of Small Bowel Obstruction (SBO).

Introduction A computed tomography (CT) scan and point-of-care ultrasound (POCUS) are commonly employed for diagnosing small bowel obstructions (SBOs). Prior studies demonstrated that POCUS has 90-95% sensitivity and specificity compared with CT scanning, which is the gold standard. Unlike other imaging modalities (in which the ordering and performing clinician are not the same), POCUS-performing/interpreting sonologists must recognize the risk of confirmation bias in the POCUS application. Per Bayesian analysis, the likelihood of a diagnosis being true following a diagnostic test is based on the ordering clinician's pre-test probability and the test characteristics (sensitivity and specificity, from which positive and negative likelihood ratios can be calculated). Consequently, establishing pre-test probability is important in informing downstream diagnostic or therapeutic interventions, as pre-test probability influences post-test odds. Little research has been done on the role of POCUS sonologist's pre-test probability and actual POCUS results regarding SBO. This study assessed the role of POCUS, integrating pre-test probability and POCUS results to determine post-test odds. Methods One hundred six patients were recruited on a convenience basis and underwent POCUS and CT between April 2017 and December 2022. All sonographers were credentialed in POCUS. POCUS sonologists' pre-test probabilities and POCUS and CT results were captured, which were compared. Sensitivity, specificity, LR+, and LR- were calculated, and correlations were made between pre-test probability and POCUS and CT results.  Results POCUS exhibited a sensitivity of 92% and specificity of 90%, with a corresponding positive likelihood ratio (LR+) of 9.3 and a negative likelihood ratio (LR-) of 0.09 for diagnosing SBO. Among patients with a high pre-test probability of SBO, a negative ultrasound yielded post-test odds of 0.4%, whereas a positive POCUS yielded post-test odds of 39.6%. Among patients with a low pre-test probability, a negative POCUS resulted in post-test odds of 0%, while a positive POCUS led to post-test odds of 2.1%, yielding a number needed to scan (NNS) of ~50 to identify a patient with an SBO on CT. Conclusion This study confirmed POCUS's sensitivity and specificity of ~90-95% and a corresponding LR+ of 9.2 and LR- of 0.9. Pre-test probability substantially affected post-test odds. Patients with a high pre-test probability and a positive POCUS had post-test odds of 39.6 and should have a confirmatory CT, while those with a negative POCUS have very low post-test odds and very likely will not benefit from CT. Patients with low pre-test probability and a positive POCUS have post-test odds of 2.1%, similar to the Wells Score and HEART score; such patients may not benefit from a CT, though clinicians should use their judgment/discretion. Patients with a low pre-test probability and a negative POCUS have post-test odds of 0% and should not have a CT. Among low pre-test probability patients, the NNS was ~50 to identify patients with an SBO on CT.

Racial, Age, and Regional Disparities in Maternal Mortality in the USA, 1999-2020.

BACKGROUND: The health and well-being of mothers are essential for a thriving and prosperous society, yet maternal mortality remains a pressing public health problem in the USA. We aimed to examine the US trends in maternal mortality from 1999 to 2020 based on age, race/ethnicity, and census region. METHODS: Data from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research were used to identify maternal mortality cases. Temporal trends were analyzed using Joinpoint regression. Annual percentage changes, average annual percentage changes, and 95% confidence intervals were calculated. RESULTS: The maternal mortality rate in the USA increased from 1999 to 2013, but has stabilized since then until 2020 (APC = - 0.1; 95% CI: - 7.4, 2.9). However, there have been recent increases among Hispanics at a rate of 2.8% per year (95% CI: 1.6, 4.0) from 1999 to 2020. The rates stabilized among non-Hispanic Whites (APC = - 0.7; 95% CI: - 8.1, 3.2) and non-Hispanic Blacks (APC = - 0.7; 95% CI: - 14.7, 3.0). Maternal mortality rates increased among women aged 15-24 years at a rate of 3.3% per year (95% CI: 2.4, 4.2) since 1999, among women aged 25-44 years at a rate of 22.5% per year (95% CI: 5.4, 34.7), and among women aged 35-44 years at a rate of 4% per year (95% CI: 2.7, 5.3). Regional disparities existed, with rising rates in the West at a rate of 13.0% per year (95% CI: 4.3, 38.4), and stable rates in the Northeast (APC = 0.7; 95% CI: - 3.4, 2.8), Midwest (APC = - 1.8; 95% CI: - 23.4, 4.2), and South (APC = - 1.7; 95% CI: - 7.5, 1.7). CONCLUSIONS: While maternal mortality rates in the USA have stabilized since 2013, our analysis reveals significant disparities by race, age, and region. Therefore, it is essential to prioritize efforts to improve maternal health outcomes across all population subgroups to achieve equitable maternal health outcomes for all women.

Recent trends in fatal unintentional drowning rates in the United States, 1999-2020.

BACKGROUND: This study aimed to examine the trends in fatal unintentional drowning rates among persons aged ≤ 29 years by sex, age, race/ethnicity, and the U.S. census region from 1999 through 2020. METHODS: Data were abstracted from the Centers for Disease Control and Prevention's WONDER database. International Classification of Diseases Codes, 10th Revision; V90, V92, W65-W74 were used to identify persons aged ≤ 29 years who died of unintentional drowning. Age adjusted mortality rates (AAMR) were extracted by age, sex, race/ethnicity, and U.S. census region. Five-year simple moving averages were used to assess trends overall, and Joinpoint regression models were fitted to estimate average annual percentage changes (AAPC) and annual percentage changes (APC) in AAMR during the study period. 95 % confidence intervals were derived using Monte Carlo Permutation. RESULTS: Between 1999 and 2020, a total of 35,904 persons aged ≤ 29 years died of unintentional drowning in the United States. Mortality rates were highest among males (age adjusted mortality rate (AAMR) = 2.0 per 100,000; 95 % CI: 2.0-2.0), American Indians/Alaska Natives (AAMR = 2.5; 95 % CI: 2.3-2.7), decedents aged 1-4 years (AAMR = 2.8; 95 % CI: 2.7-2.8), and decedents from the Southern U.S. census region (AAMR = 1.7; 95 % CI: 1.6-1.7). Unintentional drowning deaths, overall, have stabilized from 2014 to 2020 (APC = 0.6; 95 % CI: -1.6, 2.8). Recent trends have either declined or stabilized by age, sex, race/ethnicity, and U.S. census region. CONCLUSIONS: Unintentional fatal drowning rates have improved in recent years. The results reinforce the need for continued research efforts and improved policies for sustained reduction in trends.

Investigating the Spatial Relationship between Social Vulnerability and Healthcare Facility Distribution in Nassau County, New York.

Health is a fundamental human right, yet healthcare facilities are not distributed equitably across all communities. This study aims to investigate the distribution of healthcare facilities in Nassau County, New York, and examine whether the distribution is equitable across different social vulnerability levels. An optimized hotspot analysis was conducted on a dataset of 1695 healthcare facilities-dental, dialysis, ophthalmic, and urgent care-in Nassau County, and social vulnerability was measured using the FPIS codes. The study found that healthcare facilities were disproportionately distributed in the county, with a higher concentration in areas of low social vulnerability compared to areas of high social vulnerability. The majority of healthcare facilities were found to be clustered in two ZIP codes-11020 and 11030-that rank among the top ten wealthiest in the county. The results of this study suggest that socially vulnerable residents in Nassau County are at a disadvantage when it comes to attaining equitable access to healthcare facilities. The distribution pattern highlights the need for interventions to improve access to care for marginalized communities and to address the underlying determinants of healthcare facility segregation in the county.

Health Related Quality of Life among TB Patients: Question Mark on Performance of TB DOTS in Pakistan.

Due to long duration of treatment and use of several agents, tuberculosis can lead to poor health related quality of life among patients. Objective. The present study was designed to assess health related quality of life among pulmonary tuberculosis patients in Pakistan. Methodology. A descriptive cross-sectional study design was used. SF-36 was self-administered to a sample of 382 pulmonary tuberculosis patients receiving self-administered or directly observed types of treatment, in baseline, initial, or continuous phase of treatment. After data collection, data was cleaned, coded, and statistically analyzed using SPSS version 21.0. Results. The results of the current study highlighted a significant impact on several domains of HRQoL of pulmonary TB patients. Highest HRQoL scores had been observed for the domain of physical functioning (60.03, ±25.779) whereas lowest HRQoL scores were observed for the domain of general health (34.97, ±14.286) perceptions of TB patients followed by bodily pain (43.40, ±24.594). Conclusion. The results of the present study concluded that TB patients had poor HRQoL in spite of the new therapeutic strategies and free availability of medicines. The disease had a negative impact on HRQoL of TB patients across all domains.