UNASSIGNED: Identifying risk factors for venous thromboembolism (VTE) is useful in deciding thromboprophylaxis for VTE. A retrospective study had shown an association between hypertension and diabetes mellitus with VTE in our population. The objective of this study was to confirm these findings and to determine if the complete blood count and coagulation tests can also be useful parameters in stratifying VTE patients for prophylaxis.
UNASSIGNED: This is a gender and age matched prospective case-control study of 45 Doppler\'s confirmed DVT and 43 apparently healthy controls.
UNASSIGNED: Identified risk factors included history of hypertension, diabetes mellitus, previous DVT, recent surgery, recent trauma, malignancy, sepsis, and immobility. The cases had a significantly lower mean haematocrit (33±7.4% vs 38±4.6%, p<0.001). Though no differences were observed in leucocyte and platelet counts between cases and controls but stratification as leucocytosis vs leucopaenia (P=0.003) and thrombocytosis vs thrombocytopaenia (P=0.045) differed between both groups. Also, the International normalized ratio (INR) was higher in cases (1.1±0.2 vs 1.0±0.1;P=0.001), hypercoagulable state (INR<0.9) and hypocoagulable state (INR>1.2) were observed in 4.4% and 28.9% of cases respectively but not in controls (P <0.001). Also, aPTT>40 seconds was seen in 4.4% vs 4.7% of cases and controls respectively and aPTT< 30 seconds in 22% of cases but not in controls (P =0.004).
UNASSIGNED: Hypertension and diabetes mellitus are identified risk factors not traditionally associated with DVT. These in addition to a complete blood count and coagulation tests can be useful in stratifying patients for prophylaxis in our population and other similar communities.

OBJECTIVE: Sepsis is a life-threatening organ dysfunction caused by dysregulated host response to infection. The purpose of the study was to measure the associations of specific exposures (deprivation, ethnicity, and clinical characteristics) with incident sepsis and case fatality.
METHODS: Two research databases in England were used including anonymized patient-level records from primary care linked to hospital admission, death certificate, and small-area deprivation. Sepsis cases aged 65-100 years were matched to up to six controls. Predictors for sepsis (including 60 clinical conditions) were evaluated using logistic and random forest models; case fatality rates were analyzed using logistic models.
RESULTS: 108,317 community-acquired sepsis cases were analyzed. Severe frailty was strongly associated with the risk of developing sepsis (crude odds ratio [OR] 14.93; 95% confidence interval [CI] 14.37-15.52). The quintile with most deprived patients showed an increased sepsis risk (crude OR 1.48; 95% CI 1.45-1.51) compared to least deprived quintile. Strong predictors for sepsis included antibiotic exposure in prior 2 months, being house bound, having cancer, learning disability, and diabetes mellitus. Severely frail patients had a case fatality rate of 42.0% compared to 24.0% in non-frail patients (adjusted OR 1.53; 95% CI 1.41-1.65). Sepsis cases with recent prior antibiotic exposure died less frequently compared to non-users (adjusted OR 0.7; 95% CI 0.72-0.76). Case fatality strongly decreased over calendar time.
CONCLUSIONS: Given the variety of predictors and their level of associations for developing sepsis, there is a need for prediction models for risk of developing sepsis that can help to target preventative antibiotic therapy.

OBJECTIVE: Despite undergoing thorough cochlear implant (CI) candidacy evaluation and counseling, some patients ultimately elect against implantation. This study sought to identify patient-related and socioeconomic factors predicting CI deferral.
METHODS: A retrospective study of adult (≥18 years old) CI candidates presenting between 2007 and 2021 at a tertiary academic CI center was performed. The primary outcome was device implantation. Data collected included age, gender, hearing status, race, zip code of residence, median family income (MFI), distance traveled from the CI center, marital status, employment status, and insurance status. Multivariable binary logistic regression was performed to identify predictors of implantation.
RESULTS: A total of 200 patients qualifying for CI were included, encompassing 77 adults deferring surgery (CI-deferred) and 123 consecutive adults electing for surgery (CI-pursued). Age, gender, hearing status, insurance type, employment status, distance from the implant center, and MFI were comparable between the groups (p > 0.05). Compared to CI-pursued patients, CI-deferred patients were more likely to be non-Caucasian (24.7% vs. 9.8%, p = 0.015) and unmarried (55.8% vs. 38.2%, p = 0.015). On multivariable logistic regression, older age (OR 0.981, 0.964-0.998, p = 0.027), African American race (OR 0.227, 0.071-0.726, p = 0.012), and unmarried status (OR 0.505, 0.273-0.935, p = 0.030) were independent predictors of implant deferral.
CONCLUSIONS: This study demonstrates that increasing age at evaluation, African American race, and unmarried status are predictors for deferring CI surgery despite being implant candidates. These patients may benefit from increased outreach in the form of counseling, education, and social support prior to undergoing CI surgery.
METHODS: 3 - retrospective study with internal control group Laryngoscope, 134:2857-2863, 2024.

Indiscriminate use of predictive models incorporating race can reinforce biases present in source data and lead to an exacerbation of health disparities. In some countries, such as the United States, there is therefore a push to remove race from prediction models; however, there are still many prediction models that use race as an input. Biomedical informaticists who are given the responsibility of using these predictive models in healthcare environments are likely to be faced with questions like how to deal with race covariates in these models. Thus, there is a need for a pragmatic framework to help model users think through how to include race in their chosen model so as to avoid inadvertently exacerbating disparities. In this paper, we use the case study of lung cancer screening to propose a simple framework to guide how model users can approach the use (or non-use) of race inputs in the predictive models they are tasked with leveraging in electronic health records and clinical workflows.

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BACKGROUND: The Office of Management and Budget (OMB) is reviewing current minimum standards for collecting race/ethnicity data on federal forms. This review is extremely important for Middle Eastern and North African (MENA) Americans, who have been overlooked and unable to receive federal funding for their communities for decades. MENA individuals are defined as \"White,\" which is particularly concerning given that research continues to identify that their health and lived experiences differ from Whites. From January to April 2023, the OMB requested public comments on a separate MENA checkbox. The purpose of this research was to describe public comments regarding the addition of the MENA checkbox on the US Census and other federal forms.
METHODS: A public comment period outlining changes to the collection of race/ethnicity data on the US Census and other federal forms opened in January 2023. Public comments were reviewed to determine whether MENA was mentioned, whether comments supported a MENA checkbox, and whether comments mentioned acceptance for health-related reasons.
RESULTS: There were 6700 comments reviewed. Most (73.88%) mentioned adding a MENA checkbox. Of those, 99.31% accepted adding the checkbox. Among the comments that accepted adding a MENA checkbox, 29.09% mentioned health, 44.75% mentioned linguistic/language services, and 44.75% mentioned education-related reasons.
CONCLUSIONS: Overall, the comments reviewed demonstrated strong acceptance of the addition of a MENA checkbox on federal forms. These findings are encouraging, yet further review is needed to contribute to the OMB\'s final decision on whether to add the checkbox and uncover the health of this population.

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Transforming the University of Southern California health care system requires that institutions and organizations position equity, diversity, inclusion (EDI), and anti-racism as central to their missions. The purpose of this administrative case report was to describe a systematic approach taken by an academic physical therapy department to develop a comprehensive antiracism plan that engages all interested and affected parties and includes processes for sustainable, long-term engagement.
Four strategies contributed to organizational change toward anti-racism: Holding Ourselves Accountable; Developing a Plan; Building Consensus; and Providing Education, Support, and Resources. The attitudes of faculty and staff about racism and anti-racist actions were assessed through surveys at the start of the process and after 1 year. Engagement in activities, meetings, and trainings related to EDI and anti-racism was logged for faculty and staff.
From November 2020 through November 2021, several outcomes were achieved, including: making structural organizational changes; updating faculty merit review to include EDI; developing a bias reporting mechanism; establishing faculty development activities, resources, and groups; and implementing structured efforts to recruit a diverse cohort. Within that year, faculty and staff engaged in 99.32 hours of EDI and anti-racism trainings, workshops, and resource groups. Survey data showed persistent high support and commitment to EDI and anti-racism. Faculty and staff reported that they felt more equipped to identify and address individual and institutional racism and they reported risking their reputations to talk about race more often. Confidence in their ability to identify and resolve conflicts related to microaggressions, cultural insensitivity, and bias improved. However, their self-reported ability to identify and address structural racism remained unchanged.
By approaching anti-racism as transformative rather than performative, an academic physical therapy department was able to develop and implement a comprehensive anti-racism plan with high support and engagement.
The physical therapy profession has not been immune to racism and health injustice. Organizational change to become anti-racist is imperative for excellence and a necessary challenge to undertake if the physical therapy profession is to transform society and improve the human experience.

Reports of sexual offences have increased in recent years, with many cases involving allegations against high-status individuals (e.g., Harvey Weinstein, Bill Cosby). In addition, many of these cases have involved allegations against the defendant from multiple victims, with long delays in reporting of the alleged assault. The purpose of this study was to examine the influence of defendant occupational status (low vs. high), defendant race (White, Black), number of allegations (one vs. five victims), and the length of reporting delay (5, 20, or 35 years) on mock-juror decision-making. Mock-jurors (N = 752) read a mock-trial transcript describing a sexual assault case. After reading the trial transcript, mock-jurors were asked to provide dichotomous and continuous guilt ratings, as well as ratings regarding their perceptions of the defendant and victim. Results revealed that mock-jurors rendered more guilty verdicts, assigned higher guilt ratings, and perceived the defendant less favorably and the victim more favorably, when the defendant was White (as opposed to Black) and when there were multiple allegations against the defendant. The current findings suggest that defendant race and the number of allegations are highly influential in the context of a sexual assault case.