Disparities in Mpox Vaccination Among Priority Populations During the 2022 Outbreak.

Background: The 2022 mpox outbreak disproportionately affected men who have sex with men and persons living with HIV (PLWH). A 2-dose mpox vaccine series was deployed in mid-2022. Structural racism and insurance status may have affected equitable vaccination. Methods: We defined 3 cohorts: PLWH with at least 1 clinic visit between 1 July 2021 and 1 July 2022 (n = 2066), HIV preexposure prophylaxis (PrEP) recipients as of 1 January 2022 (n = 262), and all mpox-vaccinated patients in our health system between 1 July 2022 and 30 November 2022 (n = 807). We identified patients with prior diagnosed sexually transmitted infections (STIs) as having a positive test result for gonorrhea, chlamydia, or syphilis between 1 July 2021-1 July 2022. The primary outcome was receipt of at least 1 dose of mpox vaccine. Results: We identified 224 (10.8%) PLWH and 50 (19.0%) PrEP patients who received at least 1 dose of mpox vaccine. Among PLWH, White race (odds ratio [OR], 1.55; 95% CI, 1.11-2.16), private insurance (OR, 1.83; 95% CI, 1.01-3.34), prior STI (OR, 3.04; 95% CI, 2.16-4.27), prior COVID-19 vaccination (OR, 3.17; 95% CI, 1.93-5.20), and prior influenza vaccination (OR, 1.42; 95% CI, 1.30-1.96) independently predicted mpox vaccination. Within the PrEP cohort, prior COVID-19 vaccination and seasonal influenza vaccination predicted mpox vaccination. Uninsured patients were vaccinated later in the outbreak than patients with private insurance (median time to vaccination, 41 days in the privately insured group vs 83 days in the uninsured group; P < .0001). Conclusions: Race, insurance status, prior STI, and previous receipt of other vaccines influenced uptake of mpox vaccine. Addressing health disparities and vaccine acceptance will be essential in improving future outbreak response.

Concurrent Sexually Transmitted Infection Testing Among Patients Tested for Mpox at a Tertiary Healthcare System.

Coinfection with sexually transmitted infections (STIs) and mpox is common. We evaluated concurrent STI testing among Duke Health patients tested for mpox. We found that most patients tested for mpox were not comprehensively tested for STIs, despite concurrent STIs being diagnosed in 15% of patients when testing was performed.

Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset.

OBJECTIVE: The goals of this study were to harmonize data from electronic health records (EHRs) into common units, and impute units that were missing. MATERIALS AND METHODS: The National COVID Cohort Collaborative (N3C) table of laboratory measurement data-over 3.1 billion patient records and over 19 000 unique measurement concepts in the Observational Medical Outcomes Partnership (OMOP) common-data-model format from 55 data partners. We grouped ontologically similar OMOP concepts together for 52 variables relevant to COVID-19 research, and developed a unit-harmonization pipeline comprised of (1) selecting a canonical unit for each measurement variable, (2) arriving at a formula for conversion, (3) obtaining clinical review of each formula, (4) applying the formula to convert data values in each unit into the target canonical unit, and (5) removing any harmonized value that fell outside of accepted value ranges for the variable. For data with missing units for all the results within a lab test for a data partner, we compared values with pooled values of all data partners, using the Kolmogorov-Smirnov test. RESULTS: Of the concepts without missing values, we harmonized 88.1% of the values, and imputed units for 78.2% of records where units were absent (41% of contributors' records lacked units). DISCUSSION: The harmonization and inference methods developed herein can serve as a resource for initiatives aiming to extract insight from heterogeneous EHR collections. Unique properties of centralized data are harnessed to enable unit inference. CONCLUSION: The pipeline we developed for the pooled N3C data enables use of measurements that would otherwise be unavailable for analysis.

Ensuring a safe(r) harbor: Excising personally identifiable information from structured electronic health record data.

Recent findings have shown that the continued expansion of the scope and scale of data collected in electronic health records are making the protection of personally identifiable information (PII) more challenging and may inadvertently put our institutions and patients at risk if not addressed. As clinical terminologies expand to include new terms that may capture PII (e.g., Patient First Name, Patient Phone Number), institutions may start using them in clinical data capture (and in some cases, they already have). Once in use, PII-containing values associated with these terms may find their way into laboratory or observation data tables via extract-transform-load jobs intended to process structured data, putting institutions at risk of unintended disclosure. Here we aim to inform the informatics community of these findings, as well as put out a call to action for remediation by the community.

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative.

OBJECTIVE: In response to COVID-19, the informatics community united to aggregate as much clinical data as possible to characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) is now the largest publicly available HIPAA limited dataset in US history with over 6.4 million patients and is a testament to a partnership of over 100 organizations. MATERIALS AND METHODS: We developed a pipeline for ingesting, harmonizing, and centralizing data from 56 contributing data partners using 4 federated Common Data Models. N3C data quality (DQ) review involves both automated and manual procedures. In the process, several DQ heuristics were discovered in our centralized context, both within the pipeline and during downstream project-based analysis. Feedback to the sites led to many local and centralized DQ improvements. RESULTS: Beyond well-recognized DQ findings, we discovered 15 heuristics relating to source Common Data Model conformance, demographics, COVID tests, conditions, encounters, measurements, observations, coding completeness, and fitness for use. Of 56 sites, 37 sites (66%) demonstrated issues through these heuristics. These 37 sites demonstrated improvement after receiving feedback. DISCUSSION: We encountered site-to-site differences in DQ which would have been challenging to discover using federated checks alone. We have demonstrated that centralized DQ benchmarking reveals unique opportunities for DQ improvement that will support improved research analytics locally and in aggregate. CONCLUSION: By combining rapid, continual assessment of DQ with a large volume of multisite data, it is possible to support more nuanced scientific questions with the scale and rigor that they require.

Disparity in Quality of Infectious Disease vs Addiction Care Among Patients With Injection Drug Use-Associated Staphylococcus aureus Bacteremia.

Evidence-based interventions for Staphylococcus aureus bacteremia (SAB) are well known, but it is unclear how they are implemented among patients with injection drug use-associated (IDU) SAB. Of 46 patients with IDU-SAB identified, all received high-quality SAB management; however, few received appropriate recognition or treatment of their underlying substance use disorder.

Repletion of Iron Stores With the Use of Oral Iron Supplementation in Patients With Systolic Heart Failure.

BACKGROUND: Iron deficiency is associated with reduced functional capacity and increased mortality in patients with heart failure with reduced ejection fraction (HFrEF). Correction of iron deficiency in HFrEF patients with the use of intravenous iron improves symptoms, quality of life, and exercise performance. Whether oral iron improves iron stores in HFrEF patients is unknown. We conducted a retrospective study to assess the efficacy of oral iron supplementation in iron-deficient HFrEF patients. METHODS AND RESULTS: Iron-deficient HFrEF patients with a record of oral iron supplementation and iron studies before and ∼180 days after supplementation were identified. Iron deficiency was defined as ferritin <100 ng/mL or as ferritin 100-300 ng/mL with transferrin saturation (Tsat) <20%. Spearman correlation was performed to assess for treatment responsiveness. In 105 patients, ferritin (from median 39 ng/mL to 75 ng/mL), Tsat (from 10% to 21%), iron (from 34 µg/dL to 69 µg/dL), and hemoglobin (from 10.4 g/dL to 11.6 g/dL) values increased (P < .0001), whereas total iron-binding capacity decreased (from 343 to 313 µg/dL; P = .0007) at 164 days after initiation of oral iron supplementation. CONCLUSIONS: In this retrospective study, oral iron supplementation improved iron stores similarly to previously reported results with the use of intravenous iron repletion in HFrEF patients, suggesting that oral iron merits prospective evaluation as an intervention strategy in HFrEF.

Predictors of survival to orthotopic heart transplant in patients with light chain amyloidosis.

BACKGROUND: Orthotopic heart transplant (OHT), followed by myeloablative chemotherapy and autologous stem cell transplant (ASCT), has been successful in the treatment of amyloid light-chain (AL) cardiac amyloidosis. The purpose of this study was to identify predictors of survival to OHT in patients with end-stage heart failure due to AL amyloidosis and compare post-OHT survival of cardiac amyloid patients with survival of other cardiomyopathy patients undergoing OHT. METHODS: From January 2000 to June 2011, 31 patients with end-stage heart failure secondary to AL amyloidosis were listed for OHT at Massachusetts General Hospital. Univariate and multivariate regression analyses identified predictors of survival to OHT. Kaplan-Meier analysis compared survival between the Massachusetts General Hospital amyloidosis patients and non-amyloid cardiomyopathy patients from the Scientific Registry of Transplant Recipients (SRTR). RESULTS: Low body mass index was the only predictor of survival to OHT in patients with end-stage heart failure caused by cardiac amyloidosis. Survival of cardiac amyloid patients who died before receiving a donor heart was only 63 ± 45 days after listing. Patients who survived to OHT received a donor organ at 53 ± 48 days after listing. Survival of AL amyloidosis patients on the waiting list was less than patients on the waiting list for all other non-amyloid diagnoses. The long-term survival of amyloid patients who underwent OHT was no different than the survival of non-amyloid, restrictive (p = 0.34), non-amyloid dilated (p = 0.34), or all non-amyloid cardiomyopathy patients (p = 0.22) in the SRTR database. CONCLUSIONS: Amyloid patients who survive to OHT, followed by ASCT, have a survival rate similar to other cardiomyopathy patients undergoing OHT; however, 35% of the patients died awaiting OHT. The only predictor of survival to OHT in AL amyloidosis patients was a low body mass index, which correlated with a shorter time on the waiting list. To optimize the survival of these patients, access to donor organs must be improved.