Associations between presenting weight and premorbid weight and the medical sequelae in hospitalized youth with anorexia nervosa or atypical anorexia nervosa.

PURPOSE: To identify unique treatment considerations for youth with anorexia nervosa (AN) or atypical anorexia nervosa (AAN) and premorbid overweight or obesity, we examined unique relationships between premorbid and presenting weight status and medical sequelae in youth with AN/AAN requiring medical hospitalization. DESIGN AND METHODS: We performed a retrospective study of 150 youth aged mean [SD] of 14.1[2.3] years, hospitalized for AN/AAN. Independent t-tests and Fischer's exact tests assessed differences in demographic and clinical characteristics by premorbid weight status. Logistic regressions assessed associations between premorbid and presenting weight status and vital sign or laboratory abnormalities. RESULTS: Compared to youth with premorbid 'normal' weights, youth with premorbid overweight/obesity demonstrated greater percent (p = .042) and faster rate (p < .001) of weight loss and had 10.9 times the odds of having anemia (p = .025). Youth with AN (<5th percentile for body mass index [BMI]) were more likely to experience hypoglycemia (p < .018) than youth with AAN (≥5th percentile BMI). Greater percent of weight loss significantly predicted bradycardia (p < .001) and hypoglycemia (p = .002), independent of premorbid or presenting weight status. CONCLUSION: Acute medical management of AN/AAN should be commensurate for hospitalized patients, regardless of premorbid weight status. However, those with more significant weight loss and those presenting as underweight may warrant particular monitoring for complications such as bradycardia and hypoglycemia. PRACTICE IMPLICATIONS: In youth with AN/AAN, high percent of weight loss warrants closer monitoring for medical complications during hospitalization. Those with premorbid overweight/obesity may need additional monitoring for anemia, as there may be additional contributors to anemia aside from malnutrition.

Triggers for eating disorder onset in youth with anorexia nervosa across the weight spectrum.

To aid in more targeted eating disorder (ED) prevention efforts, we sought to identify sociodemographic and weight-related risk factors for identified triggers for the onset of anorexia nervosa (AN) in youth. We conducted a retrospective chart review of youth admitted for medical treatment of AN between January 2015 and February 2020. From multidisciplinary admission notes, we extracted patient-reported reasons for diet/exercise changes. We used qualitative thematic analysis to identify ED triggers, then categorized each trigger as binary variables (presence/absence) for logistic regression analysis of risks associated with each trigger. Of 150 patients, mean (SD) age was 14.1(2.3) years. A total of 129 (86%) were female and 120 (80%) were Non-Hispanic White. Triggers included environmental stressors (reported by 30%), external pressures of the thin/fit ideal (29%), internalized thin/fit ideal (29%), weight-related teasing (19%), and receiving health education (14%). Younger age was associated with higher odds of weight-related teasing (p = .04) and health education (p = .03). Males had greater odds of internalized thin/fit ideal than females (p = .04). Those with premorbid body mass indices ≥85th percentile for age and sex had greater odds of reporting positive reinforcement (p = .03) and weight-related teasing (p = .04) than those with weights <85th percentile. We use these findings to detail potential targets for advancing ED prevention efforts.

Real-Time Risk Prediction on the Wards: A Feasibility Study.

OBJECTIVE: Failure to detect clinical deterioration in the hospital is common and associated with poor patient outcomes and increased healthcare costs. Our objective was to evaluate the feasibility and accuracy of real-time risk stratification using the electronic Cardiac Arrest Risk Triage score, an electronic health record-based early warning score. DESIGN: We conducted a prospective black-box validation study. Data were transmitted via HL7 feed in real time to an integration engine and database server wherein the scores were calculated and stored without visualization for clinical providers. The high-risk threshold was set a priori. Timing and sensitivity of electronic Cardiac Arrest Risk Triage score activation were compared with standard-of-care Rapid Response Team activation for patients who experienced a ward cardiac arrest or ICU transfer. SETTING: Three general care wards at an academic medical center. PATIENTS: A total of 3,889 adult inpatients. MEASUREMENTS AND MAIN RESULTS: The system generated 5,925 segments during 5,751 admissions. The area under the receiver operating characteristic curve for electronic Cardiac Arrest Risk Triage score was 0.88 for cardiac arrest and 0.80 for ICU transfer, consistent with previously published derivation results. During the study period, eight of 10 patients with a cardiac arrest had high-risk electronic Cardiac Arrest Risk Triage scores, whereas the Rapid Response Team was activated on two of these patients (p < 0.05). Furthermore, electronic Cardiac Arrest Risk Triage score identified 52% (n = 201) of the ICU transfers compared with 34% (n = 129) by the current system (p < 0.001). Patients met the high-risk electronic Cardiac Arrest Risk Triage score threshold a median of 30 hours prior to cardiac arrest or ICU transfer versus 1.7 hours for standard Rapid Response Team activation. CONCLUSIONS: Electronic Cardiac Arrest Risk Triage score identified significantly more cardiac arrests and ICU transfers than standard Rapid Response Team activation and did so many hours in advance.

Long-term Coarse Particulate Matter Exposure and Heart Rate Variability in the Multi-ethnic Study of Atherosclerosis.

BACKGROUND: Reduced heart rate variability, a marker of impaired cardiac autonomic function, has been linked to short-term exposure to airborne particles. This research adds to the literature by examining associations with long-term exposures to coarse particles (PM10-2.5). METHODS: Using electrocardiogram recordings from 2,780 participants (45-84 years) from three Multi-ethnic Study of Atherosclerosis sites, we assessed the standard deviation of normal to normal intervals and root-mean square differences of successive normal to normal intervals at a baseline (2000-2002) and follow-up (2010-2012) examination (mean visits/person = 1.5). Annual average concentrations of PM10-2.5 mass, copper, zinc, phosphorus, silicon, and endotoxin were estimated using site-specific spatial prediction models. We assessed associations for baseline heart rate variability and rate of change in heart rate variability over time using multivariable mixed models adjusted for time, sociodemographic, lifestyle, health, and neighborhood confounders, including copollutants. RESULTS: In our primary models adjusted for demographic and lifestyle factors and site, PM10-2.5 mass was associated with 1.0% (95% confidence interval [CI]: -4.1, 2.1%) lower standard deviation of normal to normal interval levels per interquartile range of 2 µg/m. Stronger associations, however, were observed before site adjustment and with increasing residential stability. Similar patterns were found for root-mean square differences of successive normal to normal intervals. We found little evidence for associations with other chemical species and with the rate of change in heart rate variability, though endotoxin was associated with increasing heart rate variability over time. CONCLUSION: We found only weak evidence that long-term PM10-2.5 exposures are associated with lowered heart rate variability. Stronger associations among residentially stable individuals suggest that confirmatory studies are needed.

The value of vital sign trends for detecting clinical deterioration on the wards.

AIM: Early detection of clinical deterioration on the wards may improve outcomes, and most early warning scores only utilize a patient's current vital signs. The added value of vital sign trends over time is poorly characterized. We investigated whether adding trends improves accuracy and which methods are optimal for modelling trends. METHODS: Patients admitted to five hospitals over a five-year period were included in this observational cohort study, with 60% of the data used for model derivation and 40% for validation. Vital signs were utilized to predict the combined outcome of cardiac arrest, intensive care unit transfer, and death. The accuracy of models utilizing both the current value and different trend methods were compared using the area under the receiver operating characteristic curve (AUC). RESULTS: A total of 269,999 patient admissions were included, which resulted in 16,452 outcomes. Overall, trends increased accuracy compared to a model containing only current vital signs (AUC 0.78 vs. 0.74; p<0.001). The methods that resulted in the greatest average increase in accuracy were the vital sign slope (AUC improvement 0.013) and minimum value (AUC improvement 0.012), while the change from the previous value resulted in an average worsening of the AUC (change in AUC -0.002). The AUC increased most for systolic blood pressure when trends were added (AUC improvement 0.05). CONCLUSION: Vital sign trends increased the accuracy of models designed to detect critical illness on the wards. Our findings have important implications for clinicians at the bedside and for the development of early warning scores.

Development of a Multicenter Ward-Based AKI Prediction Model.

BACKGROUND AND OBJECTIVES: Identification of patients at risk for AKI on the general wards before increases in serum creatinine would enable preemptive evaluation and intervention to minimize risk and AKI severity. We developed an AKI risk prediction algorithm using electronic health record data on ward patients (Electronic Signal to Prevent AKI). DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: All hospitalized ward patients from November of 2008 to January of 2013 who had serum creatinine measured in five hospitals were included. Patients with an initial ward serum creatinine >3.0 mg/dl or who developed AKI before ward admission were excluded. Using a discrete time survival model, demographics, vital signs, and routine laboratory data were used to predict the development of serum creatinine-based Kidney Disease Improving Global Outcomes AKI. The final model, which contained all variables, was derived in 60% of the cohort and prospectively validated in the remaining 40%. Areas under the receiver operating characteristic curves were calculated for the prediction of AKI within 24 hours for each unique observation for all patients across their inpatient admission. We performed time to AKI analyses for specific predicted probability cutoffs from the developed score. RESULTS: Among 202,961 patients, 17,541 (8.6%) developed AKI, with 1242 (0.6%) progressing to stage 3. The areas under the receiver operating characteristic curve of the final model in the validation cohort were 0.74 (95% confidence interval, 0.74 to 0.74) for stage 1 and 0.83 (95% confidence interval, 0.83 to 0.84) for stage 3. Patients who reached a cutoff of ≥0.010 did so a median of 42 (interquartile range, 14-107) hours before developing stage 1 AKI. This same cutoff provided sensitivity and specificity of 82% and 65%, respectively, for stage 3 and was reached a median of 35 (interquartile range, 14-97) hours before AKI. CONCLUSIONS: Readily available electronic health record data can be used to improve AKI risk stratification with good to excellent accuracy. Real time use of Electronic Signal to Prevent AKI would allow early interventions before changes in serum creatinine and may improve costs and outcomes.

Association between intensive care unit transfer delay and hospital mortality: A multicenter investigation.

BACKGROUND: Previous research investigating the impact of delayed intensive care unit (ICU) transfer on outcomes has utilized subjective criteria for defining critical illness. OBJECTIVE: To investigate the impact of delayed ICU transfer using the electronic Cardiac Arrest Risk Triage (eCART) score, a previously published early warning score, as an objective marker of critical illness. DESIGN: Observational cohort study. SETTING: Medical-surgical wards at 5 hospitals between November 2008 and January 2013. PATIENTS: Ward patients. INTERVENTION: None. MEASUREMENTS: eCART scores were calculated for all patients. The threshold with a specificity of 95% for ICU transfer (eCART ≥ 60) denoted critical illness. A logistic regression model adjusting for age, sex, and surgical status was used to calculate the association between time to ICU transfer from first critical eCART value and in-hospital mortality. RESULTS: A total of 3789 patients met the critical eCART threshold before ICU transfer, and the median time to ICU transfer was 5.4 hours. Delayed transfer (>6 hours) occurred in 46% of patients (n = 1734) and was associated with increased mortality compared to patients transferred early (33.2% vs 24.5%, P < 0.001). Each 1-hour increase in delay was associated with an adjusted 3% increase in odds of mortality (P < 0.001). In patients who survived to discharge, delayed transfer was associated with longer hospital length of stay (median 13 vs 11 days, P < 0.001). CONCLUSIONS: Delayed ICU transfer is associated with increased hospital length of stay and mortality. Use of an evidence-based early warning score, such as eCART, could lead to timely ICU transfer and reduced preventable death. Journal of Hospital Medicine 2016;11:757-762. © 2016 Society of Hospital Medicine.

Effectiveness of Interventions to Teach Metered-Dose and Diskus Inhaler Techniques. A Randomized Trial.

RATIONALE: The most effective approach to teaching respiratory inhaler technique is unknown. OBJECTIVES: To evaluate the relative effects of two different educational strategies (teach-to-goal instruction vs. brief verbal instruction) in adults hospitalized with asthma or chronic obstructive pulmonary disease. METHODS: We conducted a randomized clinical trial at two urban academic hospitals. Participants received teach-to-goal or brief instruction in the hospital and were followed for 90 days after discharge. Inhaler technique was assessed using standardized checklists; misuse was defined as 75% steps or less correct (≤9 of 12 steps). The primary outcome was metered-dose inhaler misuse 30 days postdischarge. Secondary outcomes included Diskus technique; acute care events at 30 and 90 days; and associations with adherence, health literacy, site, and patient risk (near-fatal event). MEASUREMENTS AND MAIN RESULTS: Of 120 participants, 73% were female and 90% were African American. Before education, metered-dose inhaler misuse was similarly common in the teach-to-goal and brief intervention groups (92% vs. 84%, respectively; P = 0.2). Metered-dose inhaler misuse was not significantly less common in the teach-to-goal group than in the brief instruction group at 30 days (54% vs. 70%, respectively; P = 0.11), but it was immediately after education (11% vs. 60%, respectively; P < 0.001) and at 90 days (48% vs. 76%, respectively; P = 0.003). Similar results were found with the Diskus device. Participants did not differ across education groups with regard to rescue metered-dose inhaler use or Diskus device adherence at 30 or 90 days. Acute care events were less common among teach-to-goal participants than brief intervention participants at 30 days (17% vs. 36%, respectively; P = 0.02), but not at 90 days (34% vs. 38%, respectively; P = 0.6). Participants with low health literacy receiving teach-to-goal instruction were less likely than brief instruction participants to report acute care events within 30 days (15% vs. 70%, respectively; P = 0.008). No differences existed by site or patient risk at 30 or 90 days (P > 0.05). CONCLUSIONS: In adults hospitalized with asthma or chronic obstructive pulmonary disease, in-hospital teach-to-goal instruction in inhaler technique did not reduce inhaler misuse at 30 days, but it was associated with fewer acute care events within 30 days after discharge. Inpatient treatment-to-goal education may be an important first step toward improving self-management and health outcomes for hospitalized patients with asthma or chronic obstructive pulmonary disease, especially among patients with lower levels of health literacy. Clinical trial registered with www.clinicaltrials.gov (NCT01426581).