Predicting stroke risk after sepsis hospitalization with new-onset atrial fibrillation.

BACKGROUND: New-onset atrial fibrillation (AF) during sepsis is common, but models designed to stratify stroke risk excluded patients with secondary AF. We assessed the predictive validity of CHA2DS2VASc scores among patients with new-onset AF during sepsis and developed a novel stroke prediction model incorporating presepsis and intrasepsis characteristics. METHODS: We included patients ≥40 years old who survived hospitalizations with sepsis and new-onset AF across 21 Kaiser Permanente Northern California hospitals from January 1, 2011 to September 30, 2017. We calculated the area under the receiver operating curve (AUC) for CHA2DS2VASc scores to predict stroke or transient ischemic attack (TIA) within 1 year after a hospitalization with new-onset AF during sepsis using Fine-Gray models with death as competing risk. We similarly derived and validated a novel model using presepsis and intrasepsis characteristics associated with 1-year stroke/TIA risk. RESULTS: Among 82,748 adults hospitalized with sepsis, 3992 with new-onset AF (median age: 80 years, median CHA2DS2VASc of 4) survived to discharge, among whom 70 (2.1%) experienced stroke or TIA outcome and 1393 (41.0%) died within 1 year of sepsis. The CHA2DS2VASc score was not predictive of stroke risk after sepsis (AUC: 0.50, 95% confidence interval [CI]: 0.48-0.52). A newly derived model among 2555 (64%) patients in the derivation set and 1437 (36%) in the validation set included 13 variables and produced an AUC of 0.61 (0.49-0.73) in derivation and 0.54 (0.43-0.65) in validation. CONCLUSION: Current models do not accurately stratify risk of stroke following new-onset AF secondary to sepsis. New tools are required to guide anticoagulation decisions following new-onset AF in sepsis.

Medical and psychiatric conditions of alcohol and drug treatment patients in an HMO: comparison with matched controls.

BACKGROUND: Substance abuse and health problems seem to be inextricably related. Yet, prior research on the health conditions related to substance abuse is largely focused on alcohol and is from patients treated in publicly funded programs, inpatients, and the general population. METHODS: This study compares the prevalence of medical and psychiatric conditions among 747 substance abuse patients and 3690 demographically matched controls from the same health maintenance organization, and examines whether any heightened prevalence for substance abuse patients (relative to controls) varies according to demographic subgroups and type of substance. RESULTS: Approximately one third of the conditions examined were more common among substance abuse patients than among matched controls, and many of these conditions were among the most costly. We also found that pain-related diagnoses, including arthritis, headache, and lower back pain, were more prevalent among such patients, particularly those dependent on narcotic analgesics. CONCLUSIONS: Our findings point to the importance of examining comorbid medical conditions and substance abuse in both primary and specialty care. Our findings regarding pain-related diagnoses among patients dependent on narcotic analgesics highlight the need for linkages between primary care and substance abuse treatment. Moreover, optimal treatment of many common medical disorders may require identification, intervention, and treatment of an underlying substance abuse disorder.