Citations

Background: Acute tubulointerstitial nephritis (ATIN) is a significant yet under-monitored cause of U.S. mortality, particularly among the elderly. This study anrackalyzed national trends and demographic disparities in age-adjusted mortality rates (AAMRs) from 1999 to 2020 to identify high-risk populations and inform public health policy. Methods: Using the CDC WONDER database, we conducted a retrospective analysis of 6872 ATIN-related deaths. AAMRs (per 100,000) were stratified by sex, race, and census region. Temporal shifts were quantified using Joinpoint regression to determine annual percentage changes (APC) and 95% confidence intervals (CIs). Results: The analysis revealed a distinct “V-shaped” mortality trend across the 22-year period. Following an initial decline from 1999 to 2013, AAMRs rose sharply through 2020. Males experienced a slightly steeper recent increase (9.90%) compared to females (9.50%). While Black/African American individuals initially had higher mortality rates, a significant surge in deaths among Non-Hispanic White individuals after 2013 (APC 10.42%) led to a convergence of mortality rates between the two groups by 2020. Geographically, the Midwest (APC 12.08%) and the South saw the most pronounced recent increases, whereas the West showed a sustained upward trend beginning as early as 2008. Conclusions: There has been a concerning reversal in ATIN-related mortality trends in the United States over the last decade. The convergence of racial mortality rates and significant regional variations suggest that shifting healthcare access, environmental factors, or medication exposure patterns (such as polypharmacy) warrant urgent investigation to mitigate this rising public health burden.

Despite advances in percutaneous coronary procedures, in-stent restenosis remains a significant challenge. Although sirolimus- and paclitaxel-coated balloons are promising alternatives, their comparative safety and efficacy remain uncertain. PubMed, Embase, and Cochrane databases were searched using relevant keywords from inception until August 2025. A total of 11 studies (7 randomized controlled trials and 4 observational cohort studies) were included, comprising 3633 participants overall. The primary outcomes assessed were target lesion revascularization and target lesion failure. Meanwhile, the Secondary outcomes included stent thrombosis, all-cause mortality, myocardial infarction, major adverse cardiovascular events, survival, binary restenosis, and angiographic endpoints (acute gain, diameter stenosis, in-segment late lumen loss, in-lesion late lumen loss, and in-segment minimal lumen diameter). Interstudy heterogeneity was assessed using I ² and X ² statistics ( I ²>50% = significant heterogeneity). Interstudy heterogeneity was low for most outcomes, including all primary clinical endpoints, with moderate heterogeneity observed only for select angiographic measures (notably in-segment late lumen loss and diameter stenosis). Statistical analysis was conducted using R software and RStudio (version 4.4.2), with a P value of < 0.05 indicating statistical significance. This meta-analysis examined studies that compared paclitaxel-coated balloon (PCB) versus standard balloon [sirolimus-coated balloon (SCB)] angioplasty. Regarding primary outcomes, there were no notable variations in target lesion failure [risk ratio (RR), 1.08, 95% CI, 0.90–1.29, P = 0.36] or target lesion revascularization (RR, 1.16, 95% CI, 0.98–1.37, P = 0.08). With all aggregated estimates being nonsignificant, secondary outcomes such as stent thrombosis, all-cause mortality, myocardial infarction, major adverse cardiovascular events, and survival were similar between groups. Angiographic endpoints revealed no discernible variations in late lumen loss (in-lesion and in-segment), acute gain, or diameter stenosis. Nonetheless, the SCB group’s minimal lumen diameter was significantly smaller than that of the PCB group (MD, −0.08 mm, 95% CI, −0.14 to −0.01, P = 0.02). In treating coronary in-stent restenosis, SCB and PCBs show similar overall safety and effectiveness; lesion-specific angiographic variations indicate that customized selection may improve patient outcomes.

Abstract Introduction Persistent symptom burden in classic myeloproliferative neoplasms (MPNs) i.e., polycythemia vera (PV), essential thrombocythemia (ET) and myelofibrosis (MF) is linked to shorter survival, more thromboembolic events and impaired quality of life. Identifying demographic, clinical, laboratory, and treatment-related predictors of symptom improvement can inform risk-adapted care and guide supportive interventions. Methods Patients with PV, ET, and MF were identified through a retrospective chart review. Total symptom scores (TSS) and scores of individual symptoms were recorded at the time of first TSS assessment. Demographic (age, sex, race, ethnicity), seasonal (summer: April–September; winter: October–March), clinical (time since diagnosis, depression, obesity, spleen size), treatment-related (phlebotomy, hydroxyurea, interferon-alpha, anagrelide, JAK inhibitors, antidepressants) and laboratory (complete blood counts, serum chemistry) factors were captured at the baseline. Symptom improvement was defined as a ≥50% TSS reduction from baseline. Cumulative incidence analyses, accounting for death as a competing risk, were performed to estimate the probability and timing of symptom improvement. Multicollinearity was assessed using variance inflation factors (VIFs). Highly correlated (VIF ≥5) features and features with ≥15% missing observations were excluded. Multivariable Fine-Gray hazards regression was performed to identify predictors of symptom improvement. Sub-distribution hazard ratios (sHR) with 95% confidence intervals (CI) were computed with p-values &lt;0.05, indicating a statistically significant association with symptom improvement. Results A total of 532 patients (PV: 195, ET: 180, MF: 157) were identified between 2019 and 2024. The median age was 65 (IQR: 57-74) for PV, 65 (52-75) for ET, and 69 (63-75) for MF. Most patients were White (PV: 178, ET: 164, MF: 145) and female (PV: 99, ET: 134, MF: 84). Fatigue was the most frequently reported symptom (PV: 161, ET: 155, MF: 136) whereas weight loss was the least reported (PV: 9, ET: 12, MF: 26). Baseline TSS was highest in MF (median: 15; IQR: 7-27) followed by PV (13; 6-25) and ET (13; 5-23). Symptom improvement was observed in 89 (46%) PV, 71 (39%) ET, and 44 (28%) MF patients. Among those who improved, the cumulative incidence of symptom improvement reached 100% by 55 months in PV, 53 months in ET, and 58 months in MF. At 6, 12, and 24 months, cumulative symptom improvement was 22%, 34%, and 57% in PV; 15%, 25%, and 43% in ET; and 19%, 28%, and 39% in MF. Median time to improvement was not reached in any group. Death before symptom improvement was observed in 5 (3%) PV, 6 (3%) ET, and 37 (24%) MF patients. Multivariable regression analyses in PV identified higher baseline TSS (sHR: 1.02; 95%CI: 1.01-1.03) as associated with symptom improvement (p = 0.02). In ET, lower white blood cell count (sHR: 0.89; 95%CI: 0.81-0.98) and less time since diagnosis (0.99; 0.98-0.99) were associated with symptom improvement (p = 0.02). In MF, more months since diagnosis (sHR: 1.01 95%CI: 1.01-1.01) was associated with symptom improvement (p = 0.01). Conclusions Symptom trajectories differed across MPN subtypes. In PV, a higher baseline symptom burden; in ET, a lower white blood cell count and more recent diagnosis and in MF, a longer disease duration were associated with symptom improvement. These readily available parameters may help inform supportive strategies, tailor response expectations, and identify patients for symptom-directed interventions or clinical trials.

Abstract Background Accurate diagnosis and risk stratification in myeloproliferative neoplasms (MPNs) rely on expert interpretation of complex clinical records. Outside major academic centers, specialist expertise is scarce, and time-consuming chart reviews extend clinic visits and delay treatment decisions, underscoring the need for automated, point-of-care phenotyping for MPN patients. Methods Patients with the ICD codes of PV, ET and MF were identified from the electronic health record. Cases were defined as patients meeting the 2017 WHO diagnostic criteria for PV, ET or MF or those with a definitive MPN diagnosis determined by a hematologist. Controls were the patients who met neither the diagnostic criteria nor had a hematologist-assigned diagnosis. Two clinicians extracted demographic, clinical (symptoms, thrombotic history), laboratory (complete blood count, serum chemistry), genetic (mutations, karyotype), bone marrow morphology, diagnostic mentions and prognostic score information from unstructured clinical notes and pathology reports. Prognostic scores included the conventional risk model for PV, the International Prognostic Score of Thrombosis (IPSET) for ET and the Dynamic International Prognostic Scoring System (DIPSS), DIPSS-plus or Mutation-enhanced International Prognostic Scoring System (MIPSS-70) for MF. Discrepancies in data extraction were resolved by a consensus. A random sample of 510 patients (PV: 85, ET: 85, MF: 85, controls: 255) was split into prompt development (n=60) and test (n=450) sets for iterative workflow engineering and evaluation. The workflow included: (i) a rule-based algorithm for automated retrieval of demographic details, the first bone marrow biopsy report, the first clinical note after biopsy and the latest laboratory results within 90 days preceding biopsy (ii) a HIPAA-compliant LLM (GPT-4 turbo) for data extraction from the clinical notes and pathology reports (iii) a regular expressions-based algorithm for post-processing extracted data into structured tables, (iv) a clinician-informed source prioritization algorithm to select data from preferred sources, (v) a modified WHO-informed diagnostic characterization tool incorporating hematologist-assigned diagnoses to distinguish cases from controls and; (vi) an NCCN guidelines-based algorithm for prognostic tool selection and risk-stratification based on available data. Structured prompts were used to extract demographic, clinical, laboratory, genetic and pathological data in a zero-shot deterministic setting. The performance of automated data extraction, diagnostic characterization and prognostication was compared against the manually curated data. Accuracy and F1 scores were computed for data extraction and prognostication tasks while sensitivity and specificity were calculated to assess diagnostic performance. Results A total of 450 (PV: 150, ET: 150, MF: 150) pathology reports and 50 (PV: 52, ET: 55; MF: 65) clinical notes were identified for 450 test set patients. The test set data extraction accuracy was 95% (reports: 97%, notes: 92%) for PV, 93% (reports: 92%, notes: 94%) for ET and 98% (reports: 99%, notes 97%) for MF. The test set F1 score was 0.95 (reports: 0.96, notes: 0.93) for PV, 0.95 (reports: 0.95, notes: 0.96) for ET and 0.98 (reports: 0.99, notes: 0.97) for MF. PV patients were diagnosed with 100% sensitivity and 98% specificity whereas ET and MF patients were diagnosed with 100% sensitivity and specificity. The accuracy of risk stratification was 100% for PV and ET and 94% for MF. The F1 score for risk stratification was 1.00 for PV and ET and 0.94 for MF. Conclusions The first-in-class automated framework successfully identified pertinent clinical information, performed accurate data extraction from unstructured records and enabled clinician-guided source prioritization for accurate diagnosis and risk stratification of MPN patients. Prospective validation of the framework is required for widespread clinical implementation.

Abstract Background: Sickle cell crisis (SCC) remains a leading cause of emergency hospitalization and acute morbidity in patients with sickle cell disease (SCD). With improved survival in SCD, long-term complications such as cardiovascular disease are emerging as critical determinants of morbidity and mortality. While right-sided heart failure has been adequately explored in SCD, the specific contribution of the other cardiovascular conditions to in-hospital mortality during sickle cell crisis remains unclear. This study evaluates the independent impact of cardiovascular comorbidities on in-hospital mortality among adults hospitalized for SCC using a large, nationally representative database. Methods: This is a retrospective analysis involving adult hospitalizations (≥ 18 years old) for SCC in the United States (U.S) using 2016-2020 National Inpatient Sample (NIS). The study was exempt from institutional review board approval as the NIS database contains deidentified patient information. ICD-10 codes used for SCC were: D570, D5721, D5741, D5743, D5745, D5781. Regarding cardiovascular co-morbidities, the study considered age, race (African American, Hispanic and Caucasian), dyslipidemia, hypertension, diabetes mellitus (both type 1 and type 2), systolic and diastolic heart failure, rheumatic valvular heart disease, atrial fibrillation/flutter, pulmonary hypertension, chronic coronary artery disease and ischemic stroke. Univariable Cox regression was performed to identify independent predictors associated with in-hospital mortality among patients admitted for SCC. All factors from the univariable analysis with p&lt;0.20 were included in a multivariable Cox regression model. All the outcomes were adjusted for age, sex, and Charlson Comorbidity Index. P-value of ≤0.05 was used to determine statistical significance. Results: The current study analyzed 424,540 SCD patients admitted for SCC (mean age 32.4 years, 55.4% females), from 2016 to 2020. Each additional year of age beyond 18 was associated with a linearly increasing in-hospital mortality among study patients hospitalized for SCC. This observation was confirmed in both univariate (HR: 1.06, 95% CI: 1.05–1.07, p&lt;0.001) and multivariate (HR: 1.05, 95% CI: 1.04–1.06, p&lt;0.001) analyses. On univariable analysis of cardiovascular co-morbidities in patients admitted for SCC, a higher in-hospital mortality was conferred by: hypertension (HR: 2.40; 1.95 – 2.94, p &lt;0.01) dyslipidemia (HR: 2.38; 1.54 – 3.65, p &lt;0.01), diabetes mellitus (HR: 2.15; 1.51 – 3.04, p &lt;0.01, systolic (HR: 5.20; 3.70 – 7.31, p &lt;0.01) and diastolic heart failure (HR: 2.11; 1.44 – 3.08, p &lt;0.01), atrial fibrillation/flutter (HR: 5.43; 4.04 – 7.32, p &lt;0.01), pulmonary hypertension (HR: 2.34; 1.75 – 3.13, p &lt;0.01) and ischemic stroke (HR: 5.75; 3.30 – 10.03, &lt;0.01); a lower in-hospital mortality was associated with the African American race (HR: 0.43; 0.20 – 0.91, p = 0.027). In multivariable analysis of cardiovascular comorbidities that demonstrated nominal significance (p &lt; 0.20) in univariable analysis, only the following remained significantly associated with in-hospital mortality: systolic heart failure (HR: 2.65; 1.77 – 3.98, p &lt;0.01), atrial fibrillation/flutter (HR: 2.01; 1.41 – 2.8), p &lt;0.01) and ischemic stroke (HR: 3.25; 1.85 – 5.71, p &lt;0.01). Although not statistically significant in univariable analysis (p = 0.065), chronic coronary artery disease (CAD) emerged as a significant predictor of reduced in-hospital mortality in the multivariable analysis (HR: 0.52; 0.29–0.91, p = 0.021). Conclusions: Among adults hospitalized for sickle cell crises, select cardiovascular comorbidities, including systolic heart failure, atrial fibrillation/flutter, and ischemic stroke, were independently associated with significantly increased in-hospital mortality. Interestingly, CAD was linked to reduced mortality in adjusted models. This may be attributed to closer medical surveillance and management in patients with established CAD, along with the potential protective mechanism(s) in SCD that limit atherosclerotic progression — warranting further investigation

ABSTRACT Background Symptom management in myeloproliferative neoplasms (MPN) remains challenging despite advancements in disease‐directed therapies. This study assessed the impact of demographic, clinical, laboratory and treatment‐related variables on total symptom scores (TSS) and individual symptom scores in patients with polycythemia vera (PV), essential thrombocythemia (ET), and myelofibrosis (MF). Methods A cohort of 553 patients (PV: 200; ET: 190; MF: 163) was identified through a retrospective chart review. Symptom scores, demographic information and clinical variables were captured at the time of the first TSS assessment. Laboratory results within 1 month and treatment information within 90 days prior to the symptom assessment were captured. Univariable linear regression, followed by multivariable regression analyses using a robust variance estimator were performed, with a p value < 0.05 indicating a significant association. Results MF patients experienced the highest symptom burden and fatigue was the most reported symptom across all MPN subtypes. In PV, depression ( β : 10.53; p = 0.001) was associated with a higher TSS whereas older age (−0.17; 0.01) and higher hemoglobin (−1.24; 0.003) were associated with a lower TSS. In ET, depression ( β : 14.19; p < 0.001) was associated with a higher TSS, whereas in MF, depression (12.28; < 0.001) and higher WBC count (0.22; 0.02) were associated with a higher TSS. Depression and non‐White race in PV, depression in ET, and depression, low hemoglobin, and higher WBC count in MF were associated with multiple symptoms. Conclusions Integrating depression screening and management and optimizing hematologic parameters alongside disease‐directed therapy is crucial to improving patient outcomes.

Viral hepatitis (VH) remains a leading cause of preventable mortality in the United States (US). Despite advancements in antiviral therapies, disparities in VH-related mortality persist across demographic, racial, and geographic groups. This study analyzes trends in VH-related mortality among US adults between 1999 and 2020 to identify high-risk subgroups and inform public health interventions. This retrospective cohort study analyzed VH-related deaths among US adults (≥25 years). Data were obtained from the CDC WONDER database, with cases identified using the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes B15–B19. Age-adjusted mortality rates (AAMRs) were calculated per 1,00,000 individuals and stratified by age, gender, race and geographical location. Temporal trends in mortality were analyzed by estimating annual percentage changes (APCs) in the AAMRs using the joinpoint regression model. A total of 3,59,035 VH-related deaths were recorded among US adults during 1999 to 2020 with a cumulative overall AAMR of 7.36 (95% CI: 7.33–7.38). Overall, the AAMRs increased significantly from 1999 to 2013 (APC: +3.21; P < .01), followed by a significant decline until 2020 (APC: −5.61; P < .01). Men exhibited higher AAMRs than women, with middle-aged adults (45–64 years) most affected compared to young (25–44 years) and older adults (65 to 85+ years). Non-Hispanic (NH) American Indians/Alaska experienced the highest AAMRs followed by NH Blacks/African Americans, Hispanics, NH Asians/Pacific Islanders and NH Whites populations. Geographically, mortality rates were higher in urban areas than in rural areas, in the Western region relative to other regions and in the District of Columbia compared to other states. Significant disparities in VH-related mortality persist across demographic and geographic subgroups, with particularly higher rates among men, NH American Indian/Alaska Native population, middle-aged adults, and residents of urban and Western US regions. Targeted public health strategies are essential to address these inequities and improve outcomes.