Background: Patients with colorectal cancer (CRC) commonly present at an older age with multiple comorbid conditions and complex care needs at the time of diagnosis. Clusters of comorbid conditions, or profiles, have not been systematically identified in this patient population. This study aimed to identify clinically distinct comorbidity profiles in a large sample of patients with CRC from an integrated healthcare system, and to examine the effect of comorbidity profiles on treatment and survival. Methods: In this retrospective cohort study, we used latent class analysis (LCA) to identify comorbidity profiles in a sample of 7,803 patients with CRC diagnosed between 2008 and 2013. We identified treatment received from electronic health records and used Cox proportional hazards analysis to examine the effect of comorbidity class on survival. We also examined the effect of comorbidity profile on receipt of guideline-recommended treatment. Results: Median age at diagnosis was 66 years, 52% of patients were male, and 48% were nonwhite. A plurality had stage 0-I disease (42%), with 22% stage II, 22% stage III, and 14% stage IV. More than half (59%) had ≤1 comorbid condition, whereas 19% had ≥4 comorbidities. LCA identified 4 distinct comorbidity classes. Classes were distinguished by the presence or absence of vascular and/or respiratory disease and diabetes with complications, as well as progressively greater Charlson comorbidity index scores. Comorbidity class was independently associated with treatment selection (P<.001) and survival (P<.001). Conclusions: Patients with CRC can be described by 4 distinct comorbidity profiles that are independent predictors of treatment and survival. These results provide insight into how comorbidities cluster within patients with CRC. This work represents a shift away from simple counting of comorbid conditions and toward a more nuanced understanding of how comorbidities cluster within groups of patients with CRC.
Introduction: The variation in medical cost by risk stratification using history, electrocardiogram, age, risk factors and troponin (HEART), after an emergency department (ED) evaluation for suspected acute coronary syndrome (ACS), is not well understood. Hypothesis: We hypothesized that annual total all cause cost will increase significantly with increasing HEART score and the primary driver of the total cost will be cardiovascular disease (CVD) related care. Methods: This was a retrospective cohort study of adults (age ≥18) with chest pain and complete data for HEART score, presenting at EDs within the Kaiser Permanente Southern California health system from 1/2016-12/2018. We analyzed direct medical cost associated with medical office visits, hospital facility and ED visits, pharmacy utilization, hospice stays, skilled nursing stays, home health, dialysis, laboratory, and radiology utilization during the 1-year following the index ED visit. Stratified by HEART score categories, we used one part and two part generalized linear models (log link & gamma family distribution) adjusted for socio-demographics, cardiovascular disease (CVD) history and treatment and non-CVD comorbidities, to estimate average adjusted total all cause expenditure as well as subgroups of utilization. Results: The cohort included 33,990 patients (60% Low risk; 37% intermediate risk and 3% high risk). The adjusted annual total cost varied from $6,544 (95% CI $6,228 to $6,860) in the low risk to $21,210 ($19,458 to $22,962) in the high-risk group (Table 1). In each group, the primary driver of total cost was CVD related care accounting for 41% to 46% of total cost. CVD care provided in a hospital setting accounted for 44%-76% of CVD total cost. Conclusions: Increased follow-up medical office visits, improved medications and lifestyle management may reduce the near exponential increase in cost driven by catastrophic hospital utilization, in higher HEART risk stratified patients.
Chest pain is among the most common reasons for emergency department (ED) presentations. However, most patients are at low risk for acute coronary syndrome (ACS), with low cardiac adverse outcomes rates. Biomarker testing with troponin levels is key in the initial assessment for ACS. Although serial troponin testing can improve the diagnosis of ACS in clinical practice, some patients deemed to be low risk are discharged after a single negative troponin test result.To report the clinical outcomes of patients discharged after a single negative troponin test result compared with patients discharged after serial troponin measurements.This is a retrospective cohort study of ED encounters from May 5, 2016, to December 1, 2017, across 15 community EDs within an integrated health care system in southern California. The study cohort includes 27 918 adult ED encounters in which patients were evaluated for suspected ACS with a HEART (history, electrocardiogram, age, risk factors, and troponin) score and an initial conventional troponin-I measurement below the level of detection (<0.02 ng/mL). Statistical analysis was performed from December 1, 2019, to December 1, 2020.Single troponin test vs multiple troponin tests.The primary outcome was acute myocardial infarction or cardiac mortality; secondary outcomes included coronary artery bypass graft, percutaneous coronary intervention, invasive coronary angiography, and unstable angina within 30 days of discharge. A multivariable logistic regression model was performed to evaluate the association between testing strategies and clinical outcomes.A total of 27 918 patient encounters (16 212 women [58.1%]; mean [SD] age, 58.7 [15.2] years) were included in the study. Of patients with an initial troponin measurement below the level of detection, 14 459 (51.8%) were discharged after a single troponin measurement, and 13 459 (48.2%) underwent serial troponin tests. After adjustment for cardiac risk factors and comorbidities, there was no statistically significant difference in the primary outcome of acute myocardial infarction or cardiac mortality within 30 days between the 2 groups (single troponin, 56 [0.4%] vs serial troponin, 52 [0.4%]; adjusted odds ratio, 1.41 [95% CI, 0.96-2.07]). Patients discharged after a single troponin test had lower rates of coronary artery bypass graft (adjusted odds ratio, 0.24 [95% CI, 0.11-0.48]) and invasive coronary angiography (adjusted odds ratio, 0.46 [95% CI, 0.38-0.56]).This study suggests that patients are routinely discharged from the ED after a single negative troponin test result, and when compared with serial troponin testing, a single troponin test appears safe based on current physician decision-making, with no difference in rates of 30-day cardiac mortality and acute myocardial infarction, which are low in both groups.
Background Noninvasive cardiac tests, including exercise treadmill tests (ETTs), are commonly utilized in the evaluation of patients in the emergency department with suspected acute coronary syndrome. However, there are ongoing debates on their clinical utility and cost‐effectiveness. It is important to be able to use ETT results for research, but manual review is prohibitively time‐consuming for large studies. We developed and validated an automated method to interpret ETT results from electronic health records. To demonstrate the algorithm's utility, we tested the associations between ETT results with 30‐day patient outcomes in a large population. Methods and Results A retrospective analysis of adult emergency department encounters resulting in an ETT within 30 days was performed. A set of randomly selected reports were double‐blind reviewed by 2 physicians to validate a natural language processing algorithm designed to categorize ETT results into normal, ischemic, nondiagnostic, and equivocal categories. Natural language processing then searched and categorized results of 5214 ETT reports. The natural language processing algorithm achieved 96.4% sensitivity and 94.8% specificity in identifying normal versus all other categories. The rates of 30‐day death or acute myocardial infarction varied ( P <0.001) by categories for normal (0.08%), ischemic (1.9%), nondiagnostic (0.77%), and equivocal (0.58%) groups achieving good discrimination (C‐statistic, 0.81; 95% CI, 0.7–0.92). Conclusions Natural language processing is an accurate and efficient strategy to facilitate large‐scale outcome studies of noninvasive cardiac tests. We found that most patients are at low risk and have normal ETT results, while those with abnormal, nondiagnostic, or equivocal results have slightly higher risks and warrant future investigation.
Childhood body mass index (BMI) and obesity prevalence have been associated with exposure to secondhand smoke (SHS), maternal smoking during pregnancy, and vehicular air pollution. There has been little previous study of joint BMI effects of air pollution and tobacco smoke exposure.Information on exposure to SHS and maternal smoking during pregnancy was collected on 3,318 participants at enrollment into the Southern California Children's Health Study. At study entry at average age of 10 years, residential near-roadway pollution exposure (NRP) was estimated based on a line source dispersion model accounting for traffic volume, proximity, and meteorology. Lifetime exposure to tobacco smoke was assessed by parent questionnaire. Associations with subsequent BMI growth trajectory based on annual measurements and attained BMI at 18 years of age were assessed using a multilevel modeling strategy.Maternal smoking during pregnancy was associated with estimated BMI growth over 8-year follow-up (0.72 kg/m2 higher; 95% CI: 0.14, 1.31) and attained BMI (1.14 kg/m2 higher; 95% CI: 0.66, 1.62). SHS exposure before enrollment was positively associated with BMI growth (0.81 kg/m2 higher; 95% CI: 0.36, 1.27) and attained BMI (1.23 kg/m2 higher; 95% CI: 0.86, 1.61). Growth and attained BMI increased with more smokers in the home. Compared with children without a history of SHS and NRP below the median, attained BMI was 0.80 kg/m2 higher (95% CI: 0.27, 1.32) with exposure to high NRP without SHS; 0.85 kg/m2 higher (95% CI: 0.43, 1.28) with low NRP and a history of SHS; and 2.15 kg/m2 higher (95% CI: 1.52, 2.77) with high NRP and a history of SHS (interaction p-value 0.007). These results suggest a synergistic effect.Our findings strengthen emerging evidence that exposure to tobacco smoke and NRP contribute to development of childhood obesity and suggest that combined exposures may have synergistic effects.
To assess acute sinusitis (AS) encounters in primary care (PC), urgent care (UC), and emergency department (ED) settings for adherence to recommendations to avoid low-value care.A retrospective, observational study of adult AS encounters (2010-2012) within a large integrated healthcare system.We compared ED and UC encounters with PC visits, adjusting for differences in patient characteristics.adherence to recommendations to avoid antibiotics and a computed tomography (CT) scan of the face, head, or sinuses.length of symptoms and adherence with AS recommendations.Of 152,774 AS encounters, 89.2% resulted in antibiotics and 1.1% resulted in a CT scan. Compared with PC encounters, ED encounters were less likely to result in antibiotics (adjusted odds ratio [AOR], 0.57; 95% CI, 0.50-0.65) but more likely to result in a CT scan (AOR, 59.4; 95% CI, 51.3-68.7), while UC encounters were more likely to result in both antibiotics (AOR, 1.12; 95% CI, 1.08-1.17) and CT imaging (AOR, 2.4; 95% CI, 2.1-2.7). Chart review of encounters resulting in antibiotics found that 50% were inappropriately prescribed for symptoms of ≤7 days' duration (95% CI, 41%-58%), while 35% were appropriately prescribed for symptoms of ≥14 days' duration (95% CI, 27%-44%). Only 29% (95% CI, 22%-36%) of encounters were consistent with guideline-adherent care.AS encounters in an integrated health system infrequently result in CT imaging, but antibiotic treatment is common. Differences exist across acute care settings, but improved antibiotic stewardship is needed in all settings.
