Publications

2018

Naidus EL, LaSalvia MT, Marcantonio ER, Herzig SJ. The Diagnostic Yield of Noninvasive Microbiologic Sputum Sampling in a Cohort of Patients with Clinically Diagnosed Hospital-Acquired Pneumonia. Journal of hospital medicine. 2018;13(1):34-37. doi:10.12788/jhm.2868

The clinical predictors of positive sputum culture have not been previously reported in hospital-acquired pneumonia (HAP), and data on yield of sputum culture in this setting are scant. Current Infectious Disease Society of America guidelines for HAP recommend noninvasive sputum sampling, though the data for this practice are limited. We assessed the yield of sputum culture in HAP cases at an academic medical center from January 2007 to July 2013. HAP cases were identifi ed by International Classifi cation of Diseases, Ninth Revision-Clinical Modifi cation codes for bacterial pneumonia and all cases were validated by chart review. Our cohort had 1172 hospitalizations with a HAP diagnosis. At least 1 sputum specimen was collected noninvasively and sent for bacterial culture after hospital day 2 and within 7 days of HAP diagnosis in 344 of these hospitalizations (29.4%), with a total of 478 sputum specimens, yielding 63 (13.2%) positive, 109 (22.8%) negative, and 306 (64.0%) contaminated cultures (>10 epithelial cells per high power fi eld). Signifi cant predictors of a positive sputum culture were chronic lung disease (relative risk [RR] = 2.0; 95% confi dence interval [CI], 1.2-3.4) and steroid use (RR = 1.8; 95% CI, 1.1-3.2). The most commonly identifi ed organisms were Gram-negative rods not further speciated (25.9%), Staphylococcus aureus (21.0%), and Pseudomonas aeruginosa (14.8%). Because of the ease of obtaining a sputum sample combined with the prevalence of commonly drug-resistant organisms, we suggest that sputum culture in HAP is a potentially useful noninvasive diagnostic technique.

Vasunilashorn SM, Fong TG, Albuquerque A, et al. Delirium Severity Post-Surgery and its Relationship with Long-Term Cognitive Decline in a Cohort of Patients without Dementia. Journal of Alzheimer’s disease : JAD. 2018;61(1):347-358. doi:10.3233/JAD-170288

BACKGROUND: Delirium has been associated with more rapid cognitive decline. However, it is unknown whether increased delirium severity is associated with a higher rate of long-term cognitive decline.

OBJECTIVE: To evaluate delirium severity and the presence and rate of cognitive decline over 36 months following surgery.

METHODS: We examined patients from the Successful Aging after Elective Surgery Study, who were age ≥70 years undergoing major elective surgery (N = 560). Delirium severity was determined by the peak Confusion Assessment Method-Severity (CAM-S) score for each patient's hospitalization and grouped based on the sample distribution: scores of 0-2, 3-7, and 8-19. A neuropsychological composite, General Cognitive Performance (GCP), and proxy-reported Informant Questionnaire for Cognitive Decline (IQCODE) were used to examine cognitive outcomes following surgery at 0, 1, and 2 months, and then every 6 months for up to 3 years.

RESULTS: No significant cognitive decline was observed for patients with peak CAM-S scores 0-2 (-0.17 GCP units/year, 95% confidence interval [CI] -0.35, 0.01). GCP scores decreased significantly in the group with peak CAM-S scores 3-7 (-0.30 GCP units/year, 95% CI -0.51, -0.09), and decreased almost three times faster in the highest delirium severity group (peak CAM-S scores 8-19; -0.82 GCP units/year, 95% CI -1.28, -0.37). A similar association was found for delirium severity and the proportion of patients who developed IQCODE impairment over time.

CONCLUSION: Patients with the highest delirium severity experienced the greatest rate of cognitive decline, which exceeds the rate previously observed for patients with dementia, on serial neuropsychological testing administered over 3 years, with a dose-response relationship between delirium severity and long-term cognitive decline.

Racine AM, Fong TG, Gou Y, et al. Clinical outcomes in older surgical patients with mild cognitive impairment. Alzheimer’s & dementia : the journal of the Alzheimer’s Association. 2018;14(5):590-600. doi:10.1016/j.jalz.2017.10.010

INTRODUCTION: Older adults, including those with mild cognitive impairment (MCI), are increasingly undergoing surgery.

METHODS: Relative risks (RRs) of MCI alone or with delirium on adverse outcomes were estimated in an ongoing prospective, observational cohort study of 560 nondemented adults aged ≥70 years.

RESULTS: MCI (n = 61, 11%) was associated with increased RR of delirium (RR = 1.9, P < .001) and delirium severity (RR = 4.6, P < .001). Delirium alone (n = 107), but not MCI alone (n = 34), was associated with multiple adverse outcomes including more major postoperative complication(s) (RR = 2.5, P = .002) and longer length of stay (RR = 2.2, P < .001). Patients with concurrent MCI and delirium (n = 27) were more often discharged to a postacute facility (RR = 1.4, P < .001) and had synergistically increased risk for new impairments in cognitive functioning (RR = 3.6, P < .001).

DISCUSSION: MCI is associated with increased risk of delirium incidence and severity. Patients with delirium and MCI have synergistically elevated risk of developing new difficulties in cognitively demanding tasks.

Fick DM, Inouye SK, McDermott C, et al. Pilot Study of a Two-Step Delirium Detection Protocol Administered By Certified Nursing Assistants, Physicians, and Registered Nurses. Journal of gerontological nursing. 2018;44(5):18-24. doi:10.3928/00989134-20180302-01

The feasibility and acceptability of a two-step screening protocol for delirium identification was pilot tested. Step 1, a screening tool, comprises two items: "Please tell me the day of the week," and "Please tell me the months of the year backwards starting with December." If either/both items are incorrect, Step 2, a 3-minute diagnostic assessment, follows. Trained researchers enrolled 24 hospitalized older adults and identified 22% to be delirious after a reference standard assessment. Thereafter, physicians and RNs completed the two-step protocol, whereas certified nursing assistants (CNAs) completed the screener only, on the same patients. All three clinical assessments were successfully completed in 100% of enrolled participants and within the target 2-hour time window in 91%. The screener and two-step protocol achieved high sensitivities and specificities in RNs, CNAs, and physicians. Qualitative information on barriers to and facilitators of implementation was also collected. Nurses and other clinicians can feasibly implement this ultra-brief screener and two-step protocol, which holds promise to improve delirium identification. [Journal of Gerontological Nursing, 44(5), 18-24.].

Graham KL, Auerbach AD, Schnipper JL, et al. Preventability of Early Versus Late Hospital Readmissions in a National Cohort of General Medicine Patients. Annals of internal medicine. 2018;168(11):766-774. doi:10.7326/M17-1724

BACKGROUND: Many experts believe that hospitals with more frequent readmissions provide lower-quality care, but little is known about how the preventability of readmissions might change over the postdischarge time frame.

OBJECTIVE: To determine whether readmissions within 7 days of discharge differ from those between 8 and 30 days after discharge with respect to preventability.

DESIGN: Prospective cohort study.

SETTING: 10 academic medical centers in the United States.

PATIENTS: 822 adults readmitted to a general medicine service.

MEASUREMENTS: For each readmission, 2 site-specific physician adjudicators used a structured survey instrument to determine whether it was preventable and measured other characteristics.

RESULTS: Overall, 36.2% of early readmissions versus 23.0% of late readmissions were preventable (median risk difference, 13.0 percentage points [interquartile range, 5.5 to 26.4 percentage points]). Hospitals were identified as better locations for preventing early readmissions (47.2% vs. 25.5%; median risk difference, 22.8 percentage points [interquartile range, 17.9 to 31.8 percentage points]), whereas outpatient clinics (15.2% vs. 6.6%; median risk difference, 10.0 percentage points [interquartile range, 4.6 to 12.2 percentage points]) and home (19.4% vs. 14.0%; median risk difference, 5.6 percentage points [interquartile range, -6.1 to 17.1 percentage points]) were better for preventing late readmissions.

LIMITATION: Physician adjudicators were not blinded to readmission timing, community hospitals were not included in the study, and readmissions to nonstudy hospitals were not included in the results.

CONCLUSION: Early readmissions were more likely to be preventable and amenable to hospital-based interventions. Late readmissions were less likely to be preventable and were more amenable to ambulatory and home-based interventions.

PRIMARY FUNDING SOURCE: Association of American Medical Colleges.

BACKGROUND: Postoperative delirium is common in elderly cardiac surgery patients. It is multifactorial and is influenced by the patient's baseline status and the nature of the medical and surgical interventions that the patient receives. Some of these factors are potentially modifiable, including postoperative sedation and analgesia protocols. This study has been designed to evaluate the effectiveness of postoperative intravenous acetaminophen in conjunction with either dexmedetomidine or propofol in decreasing the incidence of delirium.

METHODS: This is a prospective, randomized, placebo-controlled, double-blinded, factorial trial that includes patients who are at least 60 years old and who are undergoing cardiac surgeries involving cardiopulmonary bypass, including coronary artery bypass graft (CABG) and combined CABG/valve surgeries. Patients are randomly assigned to receive one of four postoperative analgesic-sedation regimens: (1) acetaminophen and dexmedetomidine, (2) acetaminophen and propofol, (3) dexmedetomidine and placebo, or (4) propofol and placebo. The primary outcome, incidence of delirium, will be assessed with the Confusion Assessment Method (CAM or CAM-ICU). The secondary outcome, postoperative cognitive decline, will be assessed with the Montreal Cognitive Assessment. Additional secondary outcomes, including duration of delirium, postoperative analgesic requirement, length of stay, and incidence of adverse events, will also be reported. Data will be analyzed in 120 randomly assigned patients who received at least one dose of the study medication(s) on a modified intention-to-treat basis.

DISCUSSION: This study has been approved by the institutional review board at Beth Israel Deaconess Medical Center, and the trial is currently recruiting. This study will systematically examine the implications of modification in postoperative sedative/analgesic protocols after cardiac surgery, specifically for short- and long-term cognitive outcomes. Any positive outcomes from this study could direct simple yet effective practice changes aimed to reduce morbidity.

TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02546765 , registered January 13, 2015.

Racine AM, Gou Y, Fong TG, et al. Correction for retest effects across repeated measures of cognitive functioning: a longitudinal cohort study of postoperative delirium. BMC medical research methodology. 2018;18(1):69. doi:10.1186/s12874-018-0530-x

BACKGROUND: Few studies have compared methods to correct for retest effects or practice effects in settings where an acute event could influence test performance, such as major surgery. Our goal in this study was to evaluate the use of different methods to correct for the effects of practice or retest on repeated test administration in the context of an observational study of older adults undergoing elective surgery.

METHODS: In a cohort of older surgical patients (N = 560) and a non-surgical comparison group (N = 118), we compared changes on repeated cognitive testing using a summary measure of general cognitive performance (GCP) between patients who developed post-operative delirium and those who did not. Surgical patients were evaluated pre-operatively and at 1, 2, 6, 12, and 18 months following surgery. Inferences from linear mixed effects models using four approaches were compared: 1) no retest correction, 2) mean-difference correction, 3) predicted-difference correction, and 4) model-based correction.

RESULTS: Using Approaches 1 or 4, which use uncorrected data, both surgical groups appeared to improve or remain stable after surgery. In contrast, Approaches 2 and 3, which dissociate retest and surgery effects by using retest-adjusted GCP scores, revealed an acute decline in performance in both surgical groups followed by a recovery to baseline. Relative differences between delirium groups were generally consistent across all approaches: the delirium group showed greater short- and longer-term decline compared to the group without delirium, although differences were attenuated after 2 months. Standard errors and model fit were also highly consistent across approaches.

CONCLUSION: All four approaches would lead to nearly identical inferences regarding relative mean differences between groups experiencing a key post-operative outcome (delirium) but produced qualitatively different impressions of absolute performance differences following surgery. Each of the four retest correction approaches analyzed in this study has strengths and weakness that should be evaluated in the context of future studies. Retest correction is critical for interpretation of absolute cognitive performance measured over time and, consequently, for advancing our understanding of the effects of exposures such as surgery, hospitalization, acute illness, and delirium.

Kim DH, Mahesri M, Bateman BT, et al. Longitudinal Trends and Variation in Antipsychotic Use in Older Adults After Cardiac Surgery. Journal of the American Geriatrics Society. 2018;66(8):1491-1498. doi:10.1111/jgs.15418

OBJECTIVES: To evaluate temporal trends and between-hospital variation in off-label antipsychotic medication (APM) use in older adults undergoing cardiac surgery.

DESIGN: Retrospective cohort study.

SETTING: National administrative database including 465 U.S. hospitals.

PARTICIPANTS: Individuals aged 65 and older without known indications for APMs who underwent cardiac surgery from 2004 to 2014 (N=293,212).

MEASUREMENTS: Postoperative exposure to any APMs and potentially excessive dosing were examined. Hospital-level APM prescribing intensity was defined as the proportion of individuals newly treated with APMs in the postoperative period.

RESULTS: The rate of APM use declined from 8.8% in 2004 to 6.2% in 2014 (p<.001). Use of haloperidol (parenteral 7.0% to 4.5%, p<.001; oral: 1.9% to 0.5%, p<.001), and risperidone (1.1% to 0.3%, p<.001) declined, whereas quetiapine use tripled (0.6% to 1.9%, p=.03). Hospital APM prescribing intensity varied widely, from 0.3% to 35.6%, across 465 hospitals. Treated individuals at higher-prescribing hospitals were more likely to receive APMs on the day of discharge (highest vs lowest quintile: 15.1% vs 9.6%; p<.001) and for a longer duration (4.8 vs 3.7 days; p<.001) than those at lower-prescribing hospitals. Delirium was the strongest risk factor for APM exposure (odds ratio=9.73, 95% confidence interval=9.02-10.5), whereas none of the hospital characteristics were significantly associated. The rate of potentially excessive dosing declined (60.7% to 44.9%, p<.001), and risk factors for potentially excessive dosing were similar to those for any APM exposure.

CONCLUSIONS: Our findings suggest highly variable prescribing cultures and raise concerns about inappropriate use, highlighting the need for better evidence to guide APM prescribing in hospitalized older adults after cardiac surgery.

Gross AL, Tommet D, D’Aquila M, et al. Harmonization of delirium severity instruments: a comparison of the DRS-R-98, MDAS, and CAM-S using item response theory. BMC medical research methodology. 2018;18(1):92. doi:10.1186/s12874-018-0552-4

BACKGROUND: This study aimed to describe the level of agreement of three commonly used delirium instruments: the Delirium Rating Scale-Revised-98 (DRS-R-98), Memorial Delirium Assessment Scale (MDAS), and Confusion Assessment Method-Severity (CAM-S).

METHODS: We used data from a prospective clinical research study, in which a team of trained lay interviewers administered each instrument along with supporting interview and cognitive assessments in the same group of patients daily while in the hospital (N = 352). We used item response theory methods to co-calibrate the instruments.

RESULTS: The latent traits underlying the three measures, capturing the severity of a delirium assessment, had a high degree of correlation (r's > .82). Unidimensional factor models fit well, facilitating co-calibration of the instruments. Across instruments, the less intense symptoms were generally items reflecting cognitive impairment. Although the intensity of delirium severity for most in the sample was relatively low, many of the item thresholds for the delirium severity scales are high (i.e., in the more severe range of the latent ability distribution). This indicates that even people with severe delirium may have a low probability of endorsing the highest severity categories for many items. Co-calibration enabled us to derive crosswalks to map delirium severity scores among the delirium instruments.

CONCLUSION: These delirium instruments measure the same underlying construct of delirium severity. Relative locations of items may inform design of refined measurement instruments. Mapping of overall delirium severity scores across the delirium severity instruments enabled us to derive crosswalks, which allow scores to be translated across instruments, facilitating comparison and combination of delirium studies for integrative analysis.