Psychotropic prescribing after hospital discharge in survivors of critical illness, a retrospective cohort study (2012-2019).

Background: Many people survive critical illness with the burden of new or worsened mental health issues and sleep disturbances. We examined the frequency of psychotropic prescribing after critical illness, comparing critical care to non-critical care hospitalised survivors, and whether this varied in important subgroups. Methods: This retrospective cohort study included 23,340 critical care and 367,185 non-critical care hospitalised adults from 2012 through 2019 in Lothian, Scotland, who survived to discharge. Results: One-third of critical care survivors (32%; 7527/23,340) received a psychotropic prescription within 90 days after hospital discharge (25% antidepressants; 14% anxiolytics/hypnotics; 4% antipsychotics/mania medicines). In contrast, 15% (54,589/367,185) of non-critical care survivors received a psychotropic prescription (12% antidepressants; 5% anxiolytics/hypnotics; 2% antipsychotics/mania medicines). Among patients without psychotropic prescriptions within 180 days prior to hospitalisation, after hospital discharge, the critical care group had a higher incidence of psychotropic prescription (10.3%; 1610/15,609) compared with the non-critical care group (3.2%; 9743/307,429); unadjusted hazard ratio (HR) 3.39, 95% CI: 3.22-3.57. After adjustment for potential confounders, the risk remained elevated (adjusted HR 2.03, 95% CI: 1.91-2.16), persisted later in follow-up (90-365 days; adjusted HR 1.38, 95% CI: 1.30-1.46), and was more pronounced in those without recorded comorbidities (adjusted HR 3.49, 95% CI: 3.22-3.78). Conclusions: Critical care survivors have a higher risk of receiving psychotropic prescriptions than hospitalised patients, with a significant proportion receiving benzodiazepines and other hypnotics. Future research should focus on the requirement for and safety of psychotropic medicines in survivors of critical illness, to help guide policy for clinical practice.

Association between sociodemographic factors and cholesterol-lowering medication use in U.S. adults post-myocardial infarction.

INTRODUCTION: Cholesterol-lowering medications offer effective secondary prevention after myocardial infarction (MI). Our objective was to evaluate the association between sociodemographic factors and cholesterol-lowering medication use in high-risk adults. METHODS: We conducted an analysis using weighted data from 31,408 participants in the 2017 and 2019 Behavioral Risk Factor Surveillance Systems cross-sectional surveys, who had a self-reported history of MI and high blood cholesterol. The sociodemographic factors evaluated were sex, age, race and ethnicity, annual household income, education level, relationship status, and reported healthcare coverage. We estimated the weighted prevalence of medication use, and weighted prevalence differences (with 95% confidence intervals) across categories, adjusting for sex, age group, healthcare coverage, smoking status, hypertension, and diabetes. RESULTS AND DISCUSSION: Overall, 83% of survey participants with a self-reported history of both MI and high blood cholesterol reported currently using a cholesterol-lowering medication. The prevalence of use was only 61% in those without self-reported healthcare coverage, compared to 85% of those with healthcare coverage (adjusted prevalence difference of -20%; 95% CI: -25% to -14%). Use of cholesterol-lowering medication was relatively low in younger adults and higher in older adults, leveling off after age 65 years. The proportion of Native Hawaiian or Pacific Islanders who were using a cholesterol-lowering medication was relatively low, but otherwise there was little variation by race and ethnicity. Household income, education level, and relationship status were weakly or not associated with medication use. CONCLUSIONS: Knowledge of characteristics of persons who are relatively less likely to be adherent with cholesterol-lowering medications for secondary prevention may be useful to policymakers and healthcare providers involved in the long-term treatment of MI patients. Policy makers might consider a reduced cost prescription coverage for persons without current healthcare coverage who have sustained an MI to reduce future cardiovascular morbidity and mortality.

Association between antidepressant use and second breast cancer event after ductal carcinoma in situ diagnosis: a nested case-control study.

PURPOSE: Controversy exists regarding the potential relationship between antidepressant use and risk of breast cancer. No previous studies have evaluated the relationship between antidepressant use after diagnosis of ductal carcinoma in situ (DCIS) and risk of a subsequent breast cancer restricted to women with a history of DCIS. METHODS: We conducted a population-based, nested case-control study in western Washington State. Cases included 337 women diagnosed with DCIS and a subsequent breast cancer and they were compared to 592 individually matched controls (on age, year of DCIS diagnosis, primary treatment, histology, grade, and disease-free survival time) who were diagnosed with DCIS but not a subsequent breast cancer. Information on antidepressant use after DCIS diagnosis was obtained from comprehensive medical records reviews. Antidepressant use was defined as greater or equal to 3 months of duration. RESULTS: Antidepressant use after initial DCIS was associated with a 1.4-fold increased risk of a subsequent breast cancer event (adjusted OR 1.41, 95% CI 1.02, 1.95). Similar risks were observed when assessing individual antidepressant classes, however, there was no sufficient power across specific classes of antidepressants. CONCLUSIONS: Antidepressant use after DCIS diagnosis was associated with an increased risk of subsequent breast cancer in women. Further studies are needed to confirm the associations observed.

Physician adjudication of angioedema diagnosis codes in a population of patients with heart failure prescribed angiotensin-converting enzyme inhibitor therapy.

PURPOSE: Our objective was to calculate the positive predictive value (PPV) of the ICD-9 diagnosis code for angioedema when physicians adjudicate the events by electronic health record review. Our secondary objective was to evaluate the inter-rater reliability of physician adjudication. METHODS: Patients from the Cardiovascular Research Network previously diagnosed with heart failure who were started on angiotensin-converting enzyme inhibitors (ACEI) during the study period (July 1, 2006 through September 30, 2015) were included. A team of two physicians per participating site adjudicated possible events using electronic health records for all patients coded for angioedema for a total of five sites. The PPV was calculated as the number of physician-adjudicated cases divided by all cases with the diagnosis code of angioedema (ICD-9-CM code 995.1) meeting the inclusion criteria. The inter-rater reliability of physician teams, or kappa statistic, was also calculated. RESULTS: There were 38 061 adults with heart failure initiating ACEI in the study (21 489 patient-years). Of 114 coded events that were adjudicated by physicians, 98 angioedema events were confirmed for a PPV of 86% (95% CI: 80%, 92%). The kappa statistic based on physician inter-rater reliability was 0.65 (95% CI: 0.47, 0.82). CONCLUSIONS: ICD-9 diagnosis code of 995.1 (angioneurotic edema, not elsewhere classified) is highly predictive of angioedema in adults with heart failure exposed to ACEI.

Retrospective evaluation of the indications, safety and effects of fresh frozen plasma transfusions in 36 cats (2014-2018).

OBJECTIVES: The goals of this study were to classify the indications, risks, effects on coagulation times and outcomes of cats receiving fresh frozen plasma (FFP) transfusions in clinical practice. METHODS: This was a retrospective study of FFP transfusions administered in two referral hospitals from 2014 to 2018. Transfusion administration forms and medical records were reviewed. Information was collected on indication, underlying condition, coagulation times and signs of transfusion reactions. Seven-day outcomes after FFP administration were also evaluated when available. RESULTS: Thirty-six cats received 54 FFP transfusions. Ninety-four percent of cats were administered FFP for treatment of a coagulopathy. Twenty cats had paired coagulation testing before and after FFP administration. Eighteen of these cats had improved coagulation times after receiving 1-3 units of FFP. Eight of the 36 cats had probable transfusion reactions (14.8% of 54 FFP transfusions). These reactions included respiratory signs (n = 4), fever (n = 2) and gastrointestinal signs (n = 2). Five of the eight cats with probable reactions had received packed red blood cells contemporaneously. Overall mortality rate during hospitalization was 29.7%, with 52.8% (n = 19/36) of cats confirmed to be alive 7 days after discharge. CONCLUSIONS AND RELEVANCE: This retrospective study shows that FFP transfusions improve coagulation times in cats. Transfusion reactions are a risk, and risk-benefit ratios must be measured prior to administration and possible reactions monitored. In the study cats, the FFP transfusions appeared to be a tolerable risk given the benefit to prolonged coagulation times.