Hidden Otolaryngology Malpractice Claims: An Internal Review From 2000 to 2020.

OBJECTIVE: To report key characteristics and patterns of captive insurance claims not publicly reported in otolaryngology across a large tertiary-level academic health system over the previous 2 decades. STUDY DESIGN: Case series. SETTING: The tertiary care health system. METHODS: The internal captive insurance database at a tertiary level healthcare system was queried to identify otolaryngology-related malpractice claims regardless of final disposition (settled or dismissed) filed from 2000 to 2020. The date of the incident, date of claim, error type, patient outcome, provider subspecialty, total expenses, disposition, and final reward amount were recorded. RESULTS: Twenty-eight claims were identified. There were 11 (39.3%) claims from 2000 to 2010 and 17 (60.7%) claims from 2011 to 2020. Head and neck surgery was the most frequently implicated subspecialty (n = 9, 32.1% of all cases), followed by general otolaryngology (n = 7, 25.0%), pediatrics (n = 5, 17.9%), skull base/rhinology (n = 4, 14.3%), and laryngology (n = 1, 3.6%). Improper surgical performance was cited in 35.7% of cases (n = 10), followed by failure to diagnose (n = 8, 28.6%), to treat (n = 4, 14.3%), and to obtain informed consent (n = 3, 10.7%). While 2 cases are ongoing, a total of 17/26 (65.4%) cases were settled and 20/26 (76.9%) dismissed some or all parties. Dismissed claims had significantly higher expenses (p = .022) and duration from incident to disposition (p = .013) compared to settled claims. CONCLUSION: This study expands the malpractice landscape in otolaryngology by including data not readily available through public sources and compares it to national trends. These findings encourage otolaryngologists to better gauge current quality and safety measures that best protect patients from harm.

Multi-Omic Admission-Based Prognostic Biomarkers Identified by Machine Learning Algorithms Predict Patient Recovery and 30-Day Survival in Trauma Patients.

Admission-based circulating biomarkers for the prediction of outcomes in trauma patients could be useful for clinical decision support. It is unknown which molecular classes of biomolecules can contribute biomarkers to predictive modeling. Here, we analyzed a large multi-omic database of over 8500 markers (proteomics, metabolomics, and lipidomics) to identify prognostic biomarkers in the circulating compartment for adverse outcomes, including mortality and slow recovery, in severely injured trauma patients. Admission plasma samples from patients (n = 129) enrolled in the Prehospital Air Medical Plasma (PAMPer) trial were analyzed using mass spectrometry (metabolomics and lipidomics) and aptamer-based (proteomics) assays. Biomarkers were selected via Least Absolute Shrinkage and Selection Operator (LASSO) regression modeling and machine learning analysis. A combination of five proteins from the proteomic layer was best at discriminating resolvers from non-resolvers from critical illness with an Area Under the Receiver Operating Characteristic curve (AUC) of 0.74, while 26 multi-omic features predicted 30-day survival with an AUC of 0.77. Patients with traumatic brain injury as part of their injury complex had a unique subset of features that predicted 30-day survival. Our findings indicate that multi-omic analyses can identify novel admission-based prognostic biomarkers for outcomes in trauma patients. Unique biomarker discovery also has the potential to provide biologic insights.

Multi-omic analysis in injured humans: Patterns align with outcomes and treatment responses.

Trauma is a leading cause of death and morbidity worldwide. Here, we present the analysis of a longitudinal multi-omic dataset comprising clinical, cytokine, endotheliopathy biomarker, lipidome, metabolome, and proteome data from severely injured humans. A "systemic storm" pattern with release of 1,061 markers, together with a pattern suggestive of the "massive consumption" of 892 constitutive circulating markers, is identified in the acute phase post-trauma. Data integration reveals two human injury response endotypes, which align with clinical trajectory. Prehospital thawed plasma rescues only endotype 2 patients with traumatic brain injury (30-day mortality: 30.3 versus 75.0%; p = 0.0015). Ubiquitin carboxy-terminal hydrolase L1 (UCHL1) was identified as the most predictive circulating biomarker to identify endotype 2-traumatic brain injury (TBI) patients. These response patterns refine the paradigm for human injury, while the datasets provide a resource for the study of critical illness, trauma, and human stress responses.

Do Written Disclosures of Serious Events Increase Risk of Malpractice Claims? One Health Care System's Experience.

OBJECTIVE: This study aimed to determine whether Pennsylvania ACT 13 of 2002 (Mcare) requiring the written and verbal disclosure of "serious events" was accompanied by increased malpractice claims or compensation costs in a large U.S. health system. MAIN OUTCOMES AND MEASURES: The primary outcome was the rate of malpractice claims. The secondary outcome was the amount paid for compensation of malpractice claims. The analyses tested the relationship between the rate of serious event disclosures and the outcome variables, adjusted for the year of the event, category of claim, and the degree of "harm" related to the event. RESULTS: There were 15,028 serious event disclosures and 1302 total malpractice claims among 1,587,842 patients admitted to UPMC hospitals from May 17, 2002, to June 30, 2011. As the number of serious event disclosures increased, the number of malpractice claims per 1000 admissions remained between 0.62 and 1.03. Based on a matched analysis of claims that were disclosed and those that were not (195 pairs), disclosure status was significantly associated with increased claim payout (disclosures had 2.71 times the payout; 95% confidence interval, 1.56-4.72). Claims with higher harm levels H and I were independently associated with higher payouts than claims with lower harm levels A to D (11.15 times the payout; 95% confidence interval, 2.30-54.07). CONCLUSIONS AND RELEVANCE: Implementation of a mandated serious event disclosure law in Pennsylvania was not associated with an overall increase in malpractice claims filed. Among events of similar degree of harm, disclosed events had higher compensation paid compared with those that had not been disclosed.