Communication About the Probability of Cancer in Indeterminate Pulmonary Nodules

Importance

Clinical guidelines recommend that clinicians estimate the probability of malignancy for patients with indeterminate pulmonary nodules (IPNs) larger than 8 mm. Adherence to these guidelines is unknown.

Objectives

To determine whether clinicians document the probability of malignancy in high-risk IPNs and to compare these quantitative or qualitative predictions with the validated Mayo Clinic Model.

Design, Setting, and Participants

Single-institution, retrospective cohort study of patients from a tertiary care Department of Veterans Affairs hospital from January 1, 2003, through December 31, 2015. Cohort 1 included 291 veterans undergoing surgical resection of known or suspected lung cancer from January 1, 2003, through December 31, 2015. Cohort 2 included a random sample of 239 veterans undergoing inpatient or outpatient pulmonary evaluation of IPNs at the hospital from January 1, 2003, through December 31, 2012.

Exposures

Clinician documentation of the quantitative or qualitative probability of malignancy.

Main Outcomes and Measures

Documentation from pulmonary and/or thoracic surgery clinicians as well as information from multidisciplinary tumor board presentations was reviewed. Any documented quantitative or qualitative predictions of malignancy were extracted and summarized using descriptive statistics. Clinicians' predictions were compared with risk estimates from the Mayo Clinic Model.

Results

Of 291 patients in cohort 1, 282 (96.9%) were men; mean (SD) age was 64.6 (9.0) years. Of 239 patients in cohort 2, 233 (97.5%) were men; mean (SD) age was 65.5 (10.8) years. Cancer prevalence was 258 of 291 cases (88.7%) in cohort 1 and 110 of 225 patients with a definitive diagnosis (48.9%) in cohort 2. Only 13 patients (4.5%) in cohort 1 and 3 (1.3%) in cohort 2 had a documented quantitative prediction of malignancy prior to tissue diagnosis. Of the remaining patients, 217 of 278 (78.1%) in cohort 1 and 149 of 236 (63.1%) in cohort 2 had qualitative statements of cancer risk. In cohort 2, 23 of 79 patients (29.1%) without any documented malignancy risk statements had a final diagnosis of cancer. Qualitative risk statements were distributed among 32 broad categories. The most frequently used statements aligned well with Mayo Clinic Model predictions for cohort 1 compared with cohort 2. The median Mayo Clinic Model-predicted probability of cancer was 68.7% (range, 2.4%-100.0%). Qualitative risk statements roughly aligned with Mayo predictions.

Conclusions and Relevance

Clinicians rarely provide quantitative documentation of cancer probability for high-risk IPNs, even among patients drawn from a broad range of cancer probabilities. Qualitative statements of cancer risk in current practice are imprecise and highly variable. A standard scale that correlates with predicted cancer risk for IPNs should be used to communicate with patients and other clinicians.

National lung cancer screening utilization trends in the Veterans Health Administration

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Background: Low-dose CT (LDCT) is an effective means for early lung cancer detection, but is often underutilized. An estimated 900,000 Veterans are eligible for lung cancer screening. We are the first to describe national lung cancer screening utilization trends in the Veterans Health Administration (VHA). Methods: We assembled a retrospective cohort of patients within the VHA’s Observational Medical Outcomes Partnership (OMOP) Common Data Model who underwent lung cancer screening. LDCT scans with Common Procedure Terminology (CPT) codes G0297 or 71250 from January 1, 2011 to May 31, 2018 were eligible for inclusion. We further selected exams described as “lung cancer screening,” “screening,” or “LCS.” We used descriptive statistics with frequencies and medians to calculate the total exams per Veteran and evaluate utilization trends over time and by region. Results: At initial screening, Veterans had a median age of 66 (IQR 61, 70), 95% were male, 76% Caucasian. From January 1, 2011 to May 31, 2018, 75 VHA facilities performed 129,363 LDCT exams for lung cancer screening; 87,950 (68%) initial and 41,413 (32%) subsequent exams. Screening has increased over time (226 in 2011-2012; 7848 in 2013-2014; 41,225 in 2015-2016; 80,064 in 2017 until May 31, 2018) in all regions. Providers in primary care/internal medicine (56%), family medicine (16%), pulmonology (6%), oncology (0.3%), other specialties (21%) ordered screening exams. Conclusions: Lung cancer screening with low-dose CT within the VHA increased over time within all geographic regions. Future strategies aimed at the Veteran, provider, and healthcare system levels are needed to increase lung cancer screening utilization among eligible Veterans. [Table: see text]

Mapping Histoplasma capsulatum Exposure, United States

Maps of Histoplasma capsulatum infection prevalence were created 50 years ago; since then, the environment, climate, and anthropogenic land use have changed drastically. Recent outbreaks of acute disease in Montana and Nebraska, USA, suggest shifts in geographic distribution, necessitating updated prevalence maps. To create a weighted overlay geographic suitability model for Histoplasma, we used a geographic information system to combine satellite imagery integrating land cover use (70%), distance to water (20%), and soil pH (10%). We used logistic regression modeling to compare our map with state-level histoplasmosis incidence data from a 5% sample from the Centers for Medicare and Medicaid Services. When compared with the state-based Centers data, the predictive accuracy of the suitability score–predicted states with high and mid-to-high histoplasmosis incidence was moderate. Preferred soil environments for Histoplasma have migrated into the upper Missouri River basin. Suitability score mapping may be applicable to other geographically specific infectious vectors.

A transition care coordinator model reduces hospital readmissions and costs

BACKGROUND

The optimal structure and intensity of interventions to reduce hospital readmission remains uncertain, due in part to lack of head-to-head comparison. To address this gap, we evaluated two forms of an evidence-based, multi-component transitional care intervention.

METHODS

A quasi-experimental evaluation design compared outcomes of Transition Care Coordinator (TCC) Care to Usual Care, while controlling for sociodemographic characteristics, comorbidities, readmission risk, and administrative factors. The study was conducted between January 1, 2013 and April 30, 2015 as a quality improvement initiative. Eligible adults (N = 7038) hospitalized with pneumonia, congestive heart failure, or chronic obstructive pulmonary disease were identified for program evaluation via an electronic health record algorithm. Nurse TCCs provided either a full intervention (delivered in-hospital and by post-discharge phone call) or a partial intervention (phone call only).

RESULTS

A total of 762 hospitalizations with TCC Care (460 full intervention and 302 partial intervention) and 6276 with Usual Care was examined. In multivariable models, hospitalizations with TCC Care had significantly lower odds of readmission at 30 days (OR = 0.512, 95% CI 0.392 to 0.668) and 90 days (OR = 0.591, 95% CI 0.483 to 0.723). Adjusted costs were significantly lower at 30 days (difference = $3969, 95% CI $5099 to $2691) and 90 days (difference = $5684, 95% CI $7602 to $3627). The effect was similar whether patients received the full or partial intervention.

CONCLUSION

An evidence-based multi-component intervention delivered by nurse TCCs reduced 30- and 90-day readmissions and associated health care costs. Lower intensity interventions delivered by telephone after discharge may have similar effectiveness to in-hospital programs.

Haloperidol and Ziprasidone for Treatment of Delirium in Critical Illness

BACKGROUND

There are conflicting data on the effects of antipsychotic medications on delirium in patients in the intensive care unit (ICU).

METHODS

In a randomized, double-blind, placebo-controlled trial, we assigned patients with acute respiratory failure or shock and hypoactive or hyperactive delirium to receive intravenous boluses of haloperidol (maximum dose, 20 mg daily), ziprasidone (maximum dose, 40 mg daily), or placebo. The volume and dose of a trial drug or placebo was halved or doubled at 12-hour intervals on the basis of the presence or absence of delirium, as detected with the use of the Confusion Assessment Method for the ICU, and of side effects of the intervention. The primary end point was the number of days alive without delirium or coma during the 14-day intervention period. Secondary end points included 30-day and 90-day survival, time to freedom from mechanical ventilation, and time to ICU and hospital discharge. Safety end points included extrapyramidal symptoms and excessive sedation.

RESULTS

Written informed consent was obtained from 1183 patients or their authorized representatives. Delirium developed in 566 patients (48%), of whom 89% had hypoactive delirium and 11% had hyperactive delirium. Of the 566 patients, 184 were randomly assigned to receive placebo, 192 to receive haloperidol, and 190 to receive ziprasidone. The median duration of exposure to a trial drug or placebo was 4 days (interquartile range, 3 to 7). The median number of days alive without delirium or coma was 8.5 (95% confidence interval [CI], 5.6 to 9.9) in the placebo group, 7.9 (95% CI, 4.4 to 9.6) in the haloperidol group, and 8.7 (95% CI, 5.9 to 10.0) in the ziprasidone group (P=0.26 for overall effect across trial groups). The use of haloperidol or ziprasidone, as compared with placebo, had no significant effect on the primary end point (odds ratios, 0.88 [95% CI, 0.64 to 1.21] and 1.04 [95% CI, 0.73 to 1.48], respectively). There were no significant between-group differences with respect to the secondary end points or the frequency of extrapyramidal symptoms.

CONCLUSIONS

The use of haloperidol or ziprasidone, as compared with placebo, in patients with acute respiratory failure or shock and hypoactive or hyperactive delirium in the ICU did not significantly alter the duration of delirium. (Funded by the National Institutes of Health and the VA Geriatric Research Education and Clinical Center; MIND-USA ClinicalTrials.gov number, NCT01211522 .).

Clinical phenotypes of delirium during critical illness and severity of subsequent long-term cognitive impairment: a prospective cohort study

BACKGROUND

Delirium during critical illness results from numerous insults, which might be interconnected and yet individually contribute to long-term cognitive impairment. We sought to describe the prevalence and duration of clinical phenotypes of delirium (ie, phenotypes defined by clinical risk factors) and to understand associations between these clinical phenotypes and severity of subsequent long-term cognitive impairment.

METHODS

In this multicentre, prospective cohort study, we included adult (≥18 years) medical or surgical ICU patients with respiratory failure, shock, or both as part of two parallel studies: the Bringing to Light the Risk Factors and Incidence of Neuropsychological Dysfunction in ICU Survivors (BRAIN-ICU) study, and the Delirium and Dementia in Veterans Surviving ICU Care (MIND-ICU) study. We assessed patients at least once a day for delirium using the Confusion Assessment Method-ICU and identified a priori-defined, non-mutually exclusive phenotypes of delirium per the presence of hypoxia, sepsis, sedative exposure, or metabolic (eg, renal or hepatic) dysfunction. We considered delirium in the absence of hypoxia, sepsis, sedation, and metabolic dysfunction to be unclassified. 3 and 12 months after discharge, we assessed cognition with the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). We used multiple linear regression to separately analyse associations between the duration of each phenotype of delirium and RBANS global cognition scores at 3-month and 12-month follow-up, adjusting for potential confounders.

FINDINGS

Between March 14, 2007, and May 27, 2010, 1048 participants were enrolled, eight of whom could not be analysed. Of 1040 participants, 708 survived to 3 months of follow-up and 628 to 12 months. Delirium was common, affecting 740 (71%) of 1040 participants at some point during the study and occurring on 4187 (31%) of all 13 434 participant-days. A single delirium phenotype was present on only 1355 (32%) of all 4187 participant-delirium days, whereas two or more phenotypes were present during 2832 (68%) delirium days. Sedative-associated delirium was most common (present during 2634 [63%] delirium days), and a longer duration of sedative-associated delirium predicted a worse RBANS global cognition score 12 months later, after adjusting for covariates (difference in score comparing 3 days vs 0 days: -4·03, 95% CI -7·80 to -0·26). Similarly, longer durations of hypoxic delirium (-3·76, 95% CI -7·16 to -0·37), septic delirium (-3·67, -7·13 to -0·22), and unclassified delirium (-4·70, -7·16 to -2·25) also predicted worse cognitive function at 12 months, whereas duration of metabolic delirium did not (1·14, -0·12 to 3·01).

INTERPRETATION

Our findings suggest that clinicians should consider sedative-associated, hypoxic, and septic delirium, which often co-occur, as distinct indicators of acute brain injury and seek to identify all potential risk factors that may impact on long-term cognitive impairment, especially those that are iatrogenic and potentially modifiable such as sedation.

FUNDING

National Institutes of Health and the Department of Veterans Affairs.

Deficits in Self-Reported Initiation Are AssociatedWith Subsequent Disability in ICU Survivors

OBJECTIVE

To determine whether deficits in a key aspect of executive functioning, namely, initiation, were associated with current and future functional disabilities in intensive care unit survivors.

METHODS

A nested substudy within a 2-center prospective observational cohort. We used 3 tests of initiation at 3 and 12 months: the Ruff Total Unique Design, Controlled Oral Word Association, and Behavior Rating Inventory of Executive Function initiation. Disability in instrumental activities of daily living (IADL) was measured with the Functional Activities Questionnaire. We used a proportional odds logistic regression model to evaluate the association between initiation and disability. Covariates in the model included age, education, baseline Functional Activities Questionnaire, pre-existing cognitive impairment, comorbidities, admission severity of illness, episodes of hypoxia, and days of severe sepsis.

RESULTS

In 195 patients, after adjusting for covariates, only the Behavior Rating Inventory of Executive Function initiation was associated with disability at any time point. Comparing the 25th vs the 75th percentile scores (95% confidence interval) of the Behavior Rating Inventory of Executive Function initiation at 3 months, patients with worse initiation scores had 5.062 times the odds (95% confidence interval: 2.539, 10.092) of disability according to the Functional Activities Questionnaire at 3 months, with similar odds at 12 months (odds ratio: 3.476, 95% confidence interval: 1.943, 6.216). Worse Behavior Rating Inventory of Executive Function initiation scores at 3 months were associated with future disability at 12 months odds ratio (95% confidence interval) 5.079 (2.579, 10.000).

CONCLUSIONS

Executive function deficits acquired after a critical illness in the domain of initiation are common in intensive care unit survivors, and when they are identified via self-report tools, they are associated with current and future disability in instrumental activities of daily living.

Focusing on Inattention: The Diagnostic Accuracy of Brief Measures of Inattention for Detecting Delirium

BACKGROUND

Delirium is frequently missed in most clinical settings. Brief delirium assessments are needed.

OBJECTIVE

To determine the diagnostic accuracy of reciting the months of year backwards (MOTYB) from December to July (MOTYB-6) and December to January (MOTYB-12) for delirium as diagnosed by a psychiatrist and to explore the diagnostic accuracies of the following other brief attention tasks: (1) spell the word "LUNCH" backwards, (2) recite the days of the week backwards, (3) 10-letter vigilance "A" task, and (4) 5 picture recognition task.

DESIGN

Preplanned secondary analysis of a prospective observational study.

SETTING

Emergency department located within an academic, tertiary care hospital.

PARTICIPANTS

234 acutely ill patients who were =65 years old.

MEASUREMENTS

The inattention tasks were administered by a physician. The reference standard for delirium was a comprehensive psychiatrist assessment using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision criteria. Sensitivities and specificities were calculated.

RESULTS

Making any error on the MOTYB-6 task had a sensitivity of 80.0% (95% confidence interval [CI], 60.9%-91.1%) and specificity of 57.1% (95% CI, 50.4%- 63.7%). Making any error on the MOTYB-12 task had a sensitivity of 84.0% (95% CI, 65.4%-93.6%) and specificity of 51.9% (95% CI, 45.2%-58.5%). The best combination of sensitivity and specificity was reciting the days of the week backwards task; if the patient made any error, this was 84.0% (95% CI, 65.4%-93.6%) sensitive and 81.9% (95% CI, 76.1%-86.5%) specific.

CONCLUSIONS

MOTYB-6 and MOTYB-12 had very good sensitivities but had modest specificities for delirium, limiting their use as a standalone assessment. Reciting the days of the week backwards appeared to have the best combination of sensitivity and specificity for delirium.

A multifaceted quality improvement strategy reduces the risk of catheter-associated urinary tract infection

Objective

Catheter-associated urinary tract infections (CAUTIs) are common and preventable hospital-acquired infections, yet their rate continues to rise nationwide. We describe the implementation of a multifaceted program to reduce catheter use and CAUTI rates while simultaneously addressing barriers to long-term success.

Design/Setting/Participants

Pre-post study of medical inpatient veterans between December 2012 and February 2015.

Intervention

Five component intervention: (i) a bedside catheter reminder; (ii) multidisciplinary educational campaign; (iii) structured catheter order set with clinical decision support; (iv) automated catheter discontinuation orders; and (v) protocol for post-catheter removal care.

Main Outcome Measure(s)

Catheter utilization rates and CAUTI rates on the study ward were followed during the 14-week baseline period, the 27-week transition/intervention period and the 70-week period of full implementation/sustainability. Rates of patient falls per bed days and catheter reinsertions were collected during the same time periods as balancing measures.

Results

Catheter use declined by 35% from the baseline period to the full implementation/sustainability period. This improvement was not realized until deployment of the structured electronic orders with automated catheter discontinuation and protocolized post-catheter care. The average number of days between CAUTIs on the study ward increased from 101 days in the baseline period to over 400 days in the full implementation/sustainability period. There was no significant change in the rates of falls or catheter reinsertions during the study period.

Conclusions

A multicomponent intervention aimed specifically at targeting local barriers was successful in reducing catheter utilization as well as CAUTIs in a veteran population without compensatory increase in patient falls or catheter replacement.

Measuring outcome differences associated with STEMI screening and diagnostic performance: a multicentred retrospective cohort study protocol

INTRODUCTION

Advances in ST-segment elevation myocardial infarction (STEMI) management have involved improving the clinical processes connecting patients with timely emergency cardiovascular care. Screening upon emergency department (ED) arrival for an early ECG to diagnose STEMI, however, is not optimal for all patients. In addition, the degree to which timely screening and diagnosis are associated with improved time to intervention and postpercutaneous coronary intervention outcomes, under more contemporary practice conditions, is not known.

METHODS

We present the methods for a retrospective multicentre cohort study anticipated to include 1220 patients across seven EDs to (1) evaluate the relationship between timely screening and diagnosis with treatment and postintervention clinical outcomes; (2) introduce novel measures for cross-facility performance comparisons of screening and diagnostic care team performance including: door-to-screening, door-to-diagnosis and door-to-catheterisation laboratory arrival times and (3) describe the use of electronic health record data in tandem with an existing disease registry.

ETHICS AND DISSEMINATION

The completion of this study will provide critical feedback on the quality of screening and diagnostic performance within the contemporary STEMI care pathway that can be used to (1) improve emergency care delivery for patients with STEMI presenting to the ED, (2) present novel metrics for the comparison of screening and diagnostic care and (3) inform the development of screening and diagnostic support tools that could be translated to other care environments. We will disseminate our results via publication and quality performance data sharing with each site. Institutional ethics review approval was received prior to study initiation.

Abstract 185: Outcome Differences Associated With STEMI Diagnostic Delay: Disparities on the Frontlines of STEMI Care

Background: AHA/ACC/ESC practice guidelines advise an ECG within 10 minutes for all patients with symptoms suggestive of ST-segment elevation myocardial infarction (STEMI). This facilitates early diagnosis and timely treatment. Earlier treatment, particularly percutaneous coronary intervention (PCI), has been associated with better clinical outcomes. Our objective was to quantify the impact of delayed screening on timely treatment and determine if there may be race, sex or presenting complaint disparities.

Methods: We examined the association between time-to-first ECG (door-to-screening, or D2S) and time-to-PCI in a 3-center 1-year retrospective cohort study including all emergency department (ED) patients with acute STEMI per hospital discharge diagnosis who underwent catheterization for PCI. The primary outcome was door-to-balloon time (D2B) and the ED-centric secondary outcome was door-to-cath-lab arrival time (D2CAR).

Results: Of 161,920 patients seen in the 3 EDs, 137 (0.08%) were diagnosed with STEMI. Of the 137, 75 (55%) underwent emergent PCI, and 31 (41%) of the ED STEMI PCI patients did not receive an ECG within 10 minutes. These 31 patients were more commonly female (55% vs. 19%, p=0.001), non-white (87% vs. 65%, p =0.028), and reported chest pain or shortness of breath less frequently (55% vs. 94%, p<0.001). In patients with D2S greater than 10 minutes, median D2CAR was longer (159 vs. 50 minutes, p=0.004) as was median D2B time (207 vs. 93 minutes, p=0.048).

Conclusion: A significant proportion of ED patients with STEMI did not receive an ECG within 10 minutes of arrival resulting in a 2.2 fold increase in D2B time. They were more likely to be female, non-white, and with atypical chief complaints. Normalizing screening criteria for presentation diversity could improve more equitable access to timely STEMI treatment

Acute Brain Dysfunction: Development and Validation of a Daily Prediction Model

BACKGROUND

The goal of this study was to develop and validate a dynamic risk model to predict daily changes in acute brain dysfunction (ie, delirium and coma), discharge, and mortality in ICU patients.

METHODS

Using data from a multicenter prospective ICU cohort, a daily acute brain dysfunction-prediction model (ABD-pm) was developed by using multinomial logistic regression that estimated 15 transition probabilities (from one of three brain function states [normal, delirious, or comatose] to one of five possible outcomes [normal, delirious, comatose, ICU discharge, or died]) using baseline and daily risk factors. Model discrimination was assessed by using predictive characteristics such as negative predictive value (NPV). Calibration was assessed by plotting empirical vs model-estimated probabilities. Internal validation was performed by using a bootstrap procedure.

RESULTS

Data were analyzed from 810 patients (6,711 daily transitions). The ABD-pm included individual risk factors: mental status, age, preexisting cognitive impairment, baseline and daily severity of illness, and daily administration of sedatives. The model yielded very high NPVs for "next day" delirium (NPV: 0.823), coma (NPV: 0.892), normal cognitive state (NPV: 0.875), ICU discharge (NPV: 0.905), and mortality (NPV: 0.981). The model demonstrated outstanding calibration when predicting the total number of patients expected to be in any given state across predicted risk.

CONCLUSIONS

We developed and internally validated a dynamic risk model that predicts the daily risk for one of three cognitive states, ICU discharge, or mortality. The ABD-pm may be useful for predicting the proportion of patients for each outcome state across entire ICU populations to guide quality, safety, and care delivery activities.

An evaluation of single question delirium screening tools in older emergency department patients

OBJECTIVES

To determine the diagnostic performances of several single question delirium screens. To the patient we asked: "Have you had any difficulty thinking clearly lately?" To the patient's surrogate, we asked: "Is the patient at his or her baseline mental status?" and "Have you noticed the patient's mental status fluctuate throughout the course of the day?"

METHODS

This was a prospective observational study that enrolled English speaking patients 65 years or older. A research assistant (RA) and emergency physician (EP) independently asked the patient and surrogate the single question delirium screens. The reference standard for delirium was a consultation-liaison psychiatrist's assessment using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) criteria. All assessments were performed within 3 h and were all blinded to each other.

RESULTS

Of the 406 patients enrolled, 50 (12%) were delirious. A patient who was unable to answer the question "Have you had any difficulty thinking clearly lately?" was 99.7% (95% CI: 98.0%-99.9%) specific, but only 24.0% (95% CI: 14.3%-37.4%) sensitive for delirium when asked by the RA. The baseline mental status surrogate question was 77.1% (95% CI: 61.0%-87.9%) sensitive and 87.5% (95% CI: 82.8%-91.1%) specific for delirium when asked by the RA. The fluctuating course surrogate question was 77.1% (95% CI: 61.0%-87.9%) sensitive and 80.2% (95% CI: 74.8%-84.7%) specific. When asked by the EP, the single question delirium screens' diagnostic performances were similar.

CONCLUSIONS

The patient and surrogate single question delirium assessments may be useful for delirium screening in the ED.

Change in Care Transition Practice for Patients With Nonspecific Chest Pain After Emergency Department Evaluation 2006 to 2012

OBJECTIVES

From 2005 to 2010 health care financing shifts in the United States may have affected care transition practices for emergency department (ED) patients with nonspecific chest pain (CP) after ED evaluation. Despite being less acutely ill than those with myocardial infarction, these patients' management can be challenging. The risk of missing acute coronary syndrome is considerable enough to often warrant admission. Diagnostic advances and reimbursement limitations on the use of inpatient admission are encouraging the use of alternative ED care transition practices. In the setting of these health care changes, we hypothesized that there is a decline in inpatient admission rates for patients with nonspecific CP after ED evaluation.

METHODS

We retrospectively used the Nationwide ED Sample to quantify total and annual inpatient hospital admission rates from 2006 to 2012 for patients with a final ED diagnosis of nonspecific CP. We assessed the change in admission rates over time and stratified by facility characteristics including safety-net hospital status, U.S. geographic region, urban/teaching status, trauma-level designation, and hospital funding status.

RESULTS

The admission rate for all patients with a final ED diagnosis of nonspecific CP declined from 19.2% in 2006 to 11.3% in 2012. Variability across regions was observed, while metropolitan teaching hospitals and trauma centers reflected lower admission rates.

CONCLUSION

There was a 41.1% decline in inpatient hospital admission for patients with nonspecific CP after ED evaluation. This reduction is temporally associated with national policy changes affecting reimbursement for inpatient admissions.

Effect of patients' functional status on satisfaction with outcomes 12 months after elective spine surgery for lumbar degenerative disease

BACKGROUND

Comprehensive assessment of quality of care includes patient-reported outcomes, safety of care delivered, and patient satisfaction. The impact of the patient-reported Oswestry Disability Index (ODI) scores at baseline and 12 months on satisfaction with outcomes following spine surgery is not well documented.

PURPOSE

This study aimed to determine the impact of patient disability (ODI) scores at baseline and 12 months on satisfaction with outcomes following surgery.

STUDY DESIGN

Analysis of prospectively collected longitudinal web-based multicenter data.

PATIENT SAMPLE

Patients undergoing elective surgery for degenerative lumbar disease were entered into a prospective multicenter registry.

OUTCOME MEASURES

Primary outcome measures were ODI, North American Spine Society satisfaction (NASS) questionnaire.

METHODS

Baseline and 12-month ODI scores were recorded. Satisfaction at 12 months after surgery was measured using NASS questionnaire. Multivariable proportional odds logistic regression analysis was conducted to determine the impact of baseline and 12-month ODI on satisfaction with outcomes.

RESULTS

Of the total 5,443 patients, 64% (n=3,460) were satisfied at a level where surgery met their expectations (NASS level 1) at 12 months after surgery. After adjusting for all baseline and surgery-specific variables, the 12-month ODI score had the highest impact (Wald χ²=1,555, 86% of the total χ²) on achieving satisfaction with outcomes compared with baseline ODI scores (Wald χ²=93, 5% of the total χ²). The level of satisfaction decreases with increasing 12-month ODI score. Greater change in ODI is required to achieve a better satisfaction level when the patient starts with a higher baseline ODI score.

CONCLUSION

Absolute 12-month ODI following surgery had a significant association on satisfaction with outcomes 12 months after surgery. Patients with higher baseline ODI required a larger change in ODI score to achieve satisfaction. No single measure can be used as a sole yardstick to measure quality of care after spine surgery. Satisfaction may be used in conjunction with baseline and 12-month ODI scores to provide an assessment of the quality of spine surgery provided in a patient centric fashion.

Timeliness of Care and Lung Cancer Tumor-Stage Progression: How Long Can We Wait?

BACKGROUND

Timely care of lung cancer is presumed critical, yet clear evidence of stage progression with delays in care is lacking. We investigated the reasons for delays in treatment and the impact these delays have on tumor-stage progression.

METHODS

We queried our retrospective database of 265 veterans who underwent cancer resection from 2005 to 2015. We extracted time intervals between nodule identification, diagnosis, and surgical resection; changes in nodule radiographic size over time; final pathologic staging; and reasons for delays in care. Pearson's correlation and Fisher's exact test were used to compare cancer growth and stage by time to treatment.

RESULTS

Median time from referral to surgical evaluation was 11 days (interquartile range, 8 to 17). Median time from identification to therapeutic resection was 98 days (interquartile range, 66 to 139), and from diagnosis to resection, 53 days (interquartile range, 35 to 77). Sixty-eight patients (26%) were diagnosed at resection; the remainder had preoperative tissue diagnoses. No significant correlation existed between tumor growth and time between nodule identification and resection, or between tumor growth and time between diagnosis and resection. Among 197 patients with preoperative diagnoses, 42% (83) had intervals longer than 60 days between diagnosis and resection. Most common reasons for delay were cardiac clearance, staging, and smoking cessation. Larger nodules had fewer days between identification and resection (p = 0.03).

CONCLUSIONS

Evaluation, staging, and smoking cessation drive resection delays. The lack of association between tumor growth and time to treatment suggests other clinical or biological factors, not time alone, underlie growth risk. Until these factors are identified, delays to diagnosis and treatment should be minimized.

Low Health Literacy Is Associated with Increased Transitional Care Needs in Hospitalized Patients

OBJECTIVE

To examine the association of health literacy with the number and type of transitional care needs (TCN) among patients being discharged to home.

DESIGN, SETTING, PARTICIPANTS

A cross-sectional analysis of patients admitted to an academic medical center.

MEASUREMENTS

Nurses administered the Brief Health Literacy Screen and documented TCNs along 10 domains: caregiver support, transportation, healthcare utilization, high-risk medical comorbidities, medication management, medical devices, functional status, mental health comorbidities, communication, and financial resources.

RESULTS

Among the 384 patients analyzed, 113 (29%) had inadequate health literacy. Patients with inadequate health literacy had needs in more TCN domains (mean = 5.29 vs 4.36; P < 0 .001). In unadjusted analysis, patients with inadequate health literacy were significantly more likely to have TCNs in 7 out of the 10 domains. In multivariate analyses, inadequate health literacy remained significantly associated with inadequate caregiver support (odds ratio [OR], 2.61; 95% confidence interval [CI], 1.37-4.99) and transportation barriers (OR, 1.69; 95% CI, 1.04-2.76).

CONCLUSIONS

Among hospitalized patients, inadequate health literacy is prevalent and independently associated with other needs that place patients at a higher risk of adverse outcomes, such as hospital readmission. Screening for inadequate health literacy and associated needs may enable hospitals to address these barriers and improve postdischarge outcomes.

Subsyndromal Delirium and Institutionalization Among Patients With Critical Illness

BACKGROUND

The prognostic importance of subsyndromal delirium is unknown.

OBJECTIVE

To test whether duration of subsyndromal delirium is independently associated with institutionalization.

METHODS

The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) was used twice daily to assess for subsyndromal delirium in patients with respiratory failure or shock. Delirium was considered present if the assessment was positive. Subsyndromal delirium was considered present if the assessment was negative but the patient exhibited any CAM-ICU features. Multivariable regression was used to determine the association between duration of subsyndromal delirium and institutionalization, adjusting for age, education, baseline cognition and disability, comorbidities, severity of illness, delirium, coma, sepsis, and doses of sedatives and opiates.

RESULTS

Subsyndromal delirium, lasting a median of 3 days, developed in 702 of 821 patients (86%). After adjusting for covariates, duration of subsyndromal delirium was an independent predictor of increased odds of institutionalization (P = .007). This association was greatest in patients with less delirium (P for interaction = .01). Specifically, of patients who were never delirious, those with 5 days of subsyndromal delirium (upper interquartile range [IQR]) were 4.2 times more likely to be institutionalized than those with 1.5 days of subsyndromal delirium (lower IQR).

CONCLUSIONS

Subsyndromal delirium occurred in most critically ill patients, and its duration was an independent predictor of institutionalization. Routine monitoring of all delirium symptoms may enable detection of full and subsyndromal forms of delirium.

An analysis from the Quality Outcomes Database, Part 2. Predictive model for return to work after elective surgery for lumbar degenerative disease

OBJECTIVE

Current costs associated with spine care are unsustainable. Productivity loss and time away from work for patients who were once gainfully employed contributes greatly to the financial burden experienced by individuals and, more broadly, society. Therefore, it is vital to identify the factors associated with return to work (RTW) after lumbar spine surgery. In this analysis, the authors used data from a national prospective outcomes registry to create a predictive model of patients’ ability to RTW after undergoing lumbar spine surgery for degenerative spine disease.

METHODS

Data from 4694 patients who underwent elective spine surgery for degenerative lumbar disease, who had been employed preoperatively, and who had completed a 3-month follow-up evaluation, were entered into a prospective, multicenter registry. Patient-reported outcomes—Oswestry Disability Index (ODI), numeric rating scale (NRS) for back pain (BP) and leg pain (LP), and EQ-5D scores—were recorded at baseline and at 3 months postoperatively. The time to RTW was defined as the period between operation and date of returning to work. A multivariable Cox proportional hazards regression model, including an array of preoperative factors, was fitted for RTW. The model performance was measured using the concordance index (c-index).

RESULTS

Eighty-two percent of patients (n = 3855) returned to work within 3 months postoperatively. The risk-adjusted predictors of a lower likelihood of RTW were being preoperatively employed but not working at the time of presentation, manual labor as an occupation, worker’s compensation, liability insurance for disability, higher preoperative ODI score, higher preoperative NRS-BP score, and demographic factors such as female sex, African American race, history of diabetes, and higher American Society of Anesthesiologists score. The likelihood of a RTW within 3 months was higher in patients with higher education level than in those with less than high school–level education. The c-index of the model’s performance was 0.71.

CONCLUSIONS

This study presents a novel predictive model for the probability of returning to work after lumbar spine surgery. Spine care providers can use this model to educate patients and encourage them in shared decision-making regarding the RTW outcome. This evidence-based decision support will result in better communication between patients and clinicians and improve postoperative recovery expectations, which will ultimately increase the likelihood of a positive RTW trajectory.

Frailty and Subsequent Disability and Mortality among Patients with Critical Illness

RATIONALE

The prevalence of frailty (diminished physiologic reserve) and its effect on outcomes for those aged 18 years and older with critical illness is unclear.

OBJECTIVES

We hypothesized greater frailty would be associated with subsequent mortality, disability, and cognitive impairment, regardless of age.

METHODS

At enrollment, we measured frailty using the Clinical Frailty Scale (range, 1 [very fit] to 7 [severely frail]). At 3 and 12 months post-discharge, we assessed vital status, instrumental activities of daily living, basic activities of daily living, and cognition. We used multivariable regression to analyze associations between Clinical Frailty Scale scores and outcomes, adjusting for age, sex, education, comorbidities, baseline disability, baseline cognition, severity of illness, delirium, coma, sepsis, mechanical ventilation, and sedatives/opiates.

MEASUREMENTS AND MAIN RESULTS

We enrolled 1,040 patients who were a median (interquartile range) of 62 (53-72) years old and who had a median Clinical Frailty Scale score of 3 (3-5). Half of those with clinical frailty (i.e., Clinical Frailty Scale score ≥5) were younger than 65 years old. Greater Clinical Frailty Scale scores were independently associated with greater mortality (P = 0.01 at 3 mo and P < 0.001 at 12 mo) and with greater odds of disability in instrumental activities of daily living (P = 0.04 at 3 mo and P = 0.002 at 12 mo). Clinical Frailty Scale scores were not associated with disability in basic activities of daily living or with cognition.

CONCLUSIONS

Frailty is common in critically ill adults aged 18 years and older and is independently associated with increased mortality and greater disability. Future studies should explore routine screening for clinical frailty in critically ill patients of all ages. Interventions to reduce mortality and disability among patients with heightened vulnerability should be developed and tested. Clinical trial registered with www.clinicaltrials.gov (NCT 00392795 and NCT 00400062).

Surgery and Anesthesia Exposure Is Not a Risk Factor for Cognitive Impairment After Major Noncardiac Surgery and Critical Illness

OBJECTIVE

The aim of this study was to determine whether surgery and anesthesia exposure is an independent risk factor for cognitive impairment after major noncardiac surgery associated with critical illness.

SUMMARY OF BACKGROUND DATA

Postoperative cognitive impairment is a prevalent individual and public health problem. Data are inconclusive as to whether this impairment is attributable to surgery and anesthesia exposure versus patients' baseline factors and hospital course.

METHODS

In a multicenter prospective cohort study, we enrolled ICU patients with major noncardiac surgery during hospital admission and with nonsurgical medical illness. At 3 and 12 months, we assessed survivors' global cognitive function with the Repeatable Battery for the Assessment of Neuropsychological Status and executive function with the Trail Making Test, Part B. We performed multivariable linear regression to study the independent association of surgery/anesthesia exposure with cognitive outcomes, adjusting initially for baseline covariates and subsequently for in-hospital covariates.

RESULTS

We enrolled 1040 patients, 402 (39%) with surgery/anesthesia exposure. Median global cognition scores were similar in patients with surgery/anesthesia exposure compared with those without exposure at 3 months (79 vs 80) and 12 months (82 vs 82). Median executive function scores were also similar at 3 months (41 vs 40) and 12 months (43 vs 42). Surgery/anesthesia exposure was not associated with worse global cognition or executive function at 3 or 12 months in models incorporating baseline or in-hospital covariates (P > 0.2). Higher baseline education level was associated with better global cognition at 3 and 12 months (P < 0.001), and longer in-hospital delirium duration was associated with worse global cognition (P < 0.02) and executive function (P < 0.01) at 3 and 12 months.

CONCLUSIONS

Cognitive impairment after major noncardiac surgery and critical illness is not associated with the surgery and anesthesia exposure but is predicted by baseline education level and in-hospital delirium.

Incidence and Risk Factors for Intensive Care Unit-related Post-traumatic Stress Disorder in Veterans and Civilians

RATIONALE

The incidence and risk factors of post-traumatic stress disorder (PTSD) related to the intensive care unit (ICU) experience have not been reported in a mixed veteran and civilian cohort.

OBJECTIVES

To describe the incidence and risk factors for ICU-related PTSD in veterans and civilians.

METHODS

This is a prospective, observational, multicenter cohort enrolling adult survivors of critical illness after respiratory failure and/or shock from three Veterans Affairs and one civilian hospital. After classifying those with/without preexisting PTSD (i.e., PTSD before hospitalization), we then assessed all subjects for ICU-related PTSD at 3 and 12 months post hospitalization.

MEASUREMENTS AND MAIN RESULTS

Of 255 survivors, 181 and 160 subjects were assessed for ICU-related PTSD at 3- and 12-month follow-up, respectively. A high probability of ICU-related PTSD was found in up to 10% of patients at either follow-up time point, whether assessed by PTSD Checklist Event-Specific Version (score ≥ 50) or item mapping using the Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV). In the multivariable regression, preexisting PTSD was independently associated with ICU-related PTSD at both 3 and 12 months (P < 0.001), as was preexisting depression (P < 0.03), but veteran status was not a consistent independent risk factor for ICU-related PTSD (3-month P = 0.01, 12-month P = 0.48).

CONCLUSIONS

This study found around 1 in 10 ICU survivors experienced ICU-related PTSD (i.e., PTSD anchored to their critical illness) in the year after hospitalization. Preexisting PTSD and depression were strongly associated with ICU-related PTSD.

An analysis from the Quality Outcomes Database, Part 1. Disability, quality of life, and pain outcomes following lumbar spine surgery: predicting likely individual patient outcomes for shared decision-making

OBJECTIVE Quality and outcomes registry platforms lie at the center of many emerging evidence-driven reform models. Specifically, clinical registry data are progressively informing health care decision-making. In this analysis, the authors used data from a national prospective outcomes registry (the Quality Outcomes Database) to develop a predictive model for 12-month postoperative pain, disability, and quality of life (QOL) in patients undergoing elective lumbar spine surgery. METHODS Included in this analysis were 7618 patients who had completed 12 months of follow-up. The authors prospectively assessed baseline and 12-month patient-reported outcomes (PROs) via telephone interviews. The PROs assessed were those ascertained using the Oswestry Disability Index (ODI), EQ-5D, and numeric rating scale (NRS) for back pain (BP) and leg pain (LP). Variables analyzed for the predictive model included age, gender, body mass index, race, education level, history of prior surgery, smoking status, comorbid conditions, American Society of Anesthesiologists (ASA) score, symptom duration, indication for surgery, number of levels surgically treated, history of fusion surgery, surgical approach, receipt of workers' compensation, liability insurance, insurance status, and ambulatory ability. To create a predictive model, each 12-month PRO was treated as an ordinal dependent variable and a separate proportional-odds ordinal logistic regression model was fitted for each PRO. RESULTS There was a significant improvement in all PROs (p < 0.0001) at 12 months following lumbar spine surgery. The most important predictors of overall disability, QOL, and pain outcomes following lumbar spine surgery were employment status, baseline NRS-BP scores, psychological distress, baseline ODI scores, level of education, workers' compensation status, symptom duration, race, baseline NRS-LP scores, ASA score, age, predominant symptom, smoking status, and insurance status. The prediction discrimination of the 4 separate novel predictive models was good, with a c-index of 0.69 for ODI, 0.69 for EQ-5D, 0.67 for NRS-BP, and 0.64 for NRS-LP (i.e., good concordance between predicted outcomes and observed outcomes). CONCLUSIONS This study found that preoperative patient-specific factors derived from a prospective national outcomes registry significantly influence PRO measures of treatment effectiveness at 12 months after lumbar surgery. Novel predictive models constructed with these data hold the potential to improve surgical effectiveness and the overall value of spine surgery by optimizing patient selection and identifying important modifiable factors before a surgery even takes place. Furthermore, these models can advance patient-focused care when used as shared decision-making tools during preoperative patient counseling.