Frailty in the Cardiac Surgical Patient: Comparison of Frailty Tools and Associated Outcomes

BACKGROUND

Frailty measurement in cardiac surgery is poorly studied. The study purposes were to identify a simple but accurate frailty tool by comparing the simplified frailty index, Study of Osteoporotic Fractures (SOF), to a more complex frailty index, the Cardiovascular Health Study (CHS), and outcomes of frail patients to nonfrail patients.

METHODS

Patients aged 65 years or older admitted for elective coronary artery bypass grafting (CABG), valvular surgery (valve), or a combination of CABG/valve were recruited and administered the SOF and CHS indexes. Surgical outcomes were defined by The Society of Thoracic Surgeons. A hand-held dynamometer assessed grip strength. Health-related quality of life was assessed by the 12-Item Short Form Health Survey.

RESULTS

Patients (n = 167) were primarily male (75%), white (88%), and CABG (23%), valve (50%), or CABG/valve (25%). Frailty agreement between the CHS (frail, n = 47) and SOF (frail, n = 15) was poor (κ = 0.185). SOF frail patients had poorer health, were men (67% vs 61%), had a decreased ejection fraction (0.467 vs 0.537), an increased Society of Thoracic Surgeons Risk (5.0 vs 3.5), and increased European System for Cardiac Operative Risk Evaluation score (8.2 vs 5.2). All SOF frail patients reported lack of energy vs 8.7% CHS frail patients, and 80% vs 23.9% reported an unintentional weight loss of 5% or more. SOF frail patients were significantly more likely to experience prolonged ventilation (20% vs 6.5%), pneumonia (20% vs 6.5%), prolonged intensive care unit hours (158.6 vs 85.01), and readmission within 30 days (20% vs 8.7%). All frail patients reported a significantly lower physical health-related quality of life.

CONCLUSIONS

The SOF tool better identified patients considered "frail." Frail patients had more adverse outcomes and poorer health-related quality of life.

Quality metrics in coronary artery bypass grafting

Studies on the association between care quality, case volume, and outcomes in coronary artery bypass grafting (CABG) have concluded that consistent adherence to quality measures improves mortality rates and outcomes. However, the quality metrics are not well-defined, and their significance to surgeons and healthcare providers remains uncertain. We review the concept of "quality and quality metrics" and discuss their importance in the context of CABG.

Comparing the Hospital-Acquired Condition Reduction Program and the Accreditation of Cancer Program: A Cross-sectional Study

Under the Hospital-Acquired Condition Reduction Program (HACRP), introduced by the Affordable Care Act, the Centers for Medicare and Medicaid must reduce reimbursement by 1% for hospitals that rank among the lowest performing quartile in regard to hospital-acquired conditions (HACs). This study seeks to determine whether Accredited Cancer Program (ACP) hospitals (as defined by the American College of Surgeons) score differently on the HACRP metrics than nonaccredited cancer program hospitals. This study uses data from the 2014 American Hospital Association Annual Survey database, the 2014 Area Health Resource File, the 2014 Medicare Final Rule Standardizing File, and the FY2017 HACRP database (Medicare Hospital Compare Database). The association between ACPs, HACs, and market characteristics is assessed through multinomial logistic regression analysis. Odds ratios and 95% confidence intervals are reported. Accredited cancer hospitals have a greater risk of scoring in the Worse outcome category of HAC scores, vs Middle or Better outcomes, compared with nonaccredited cancer hospitals. Despite this, they do not have greater odds of incurring a payment reduction under the HACRP measurement system. While ACP hospitals can likely improve scores, questions concerning the consistency of the message between ACP hospital quality and HACRP quality need further evaluation to determine potential gaps or issues in the structure or measurement. ACP hospitals should seek to improve scores on domain 2 measures. Although ACP hospitals do likely see more complex patients, additional efforts to reduce surgical site infections and related HACs should be evaluated and incorporated into required quality improvement efforts. From a policy perspective, policy makers should carefully evaluate the measures utilized in the HACPR.

A comparison of administrative and physiologic predictive models in determining risk adjusted mortality rates in critically ill patients

Background

Hospitals are increasingly compared based on clinical outcomes adjusted for severity of illness. Multiple methods exist to adjust for differences between patients. The challenge for consumers of this information, both the public and healthcare providers, is interpreting differences in risk adjustment models particularly when models differ in their use of administrative and physiologic data. We set to examine how administrative and physiologic models compare to each when applied to critically ill patients.

Methods

We prospectively abstracted variables for a physiologic and administrative model of mortality from two intensive care units in the United States. Predicted mortality was compared through the Pearsons Product coefficient and Bland-Altman analysis. A subgroup of patients admitted directly from the emergency department was analyzed to remove potential confounding changes in condition prior to ICU admission.

Results

We included 556 patients from two academic medical centers in this analysis. The administrative model and physiologic models predicted mortalities for the combined cohort were 15.3% (95% CI 13.7%, 16.8%) and 24.6% (95% CI 22.7%, 26.5%) (t-test p-value<0.001). The r² for these models was 0.297. The Bland-Atlman plot suggests that at low predicted mortality there was good agreement; however, as mortality increased the models diverged. Similar results were found when analyzing a subgroup of patients admitted directly from the emergency department. When comparing the two hospitals, there was a statistical difference when using the administrative model but not the physiologic model. Unexplained mortality, defined as those patients who died who had a predicted mortality less than 10%, was a rare event by either model.

Conclusions

In conclusion, while it has been shown that administrative models provide estimates of mortality that are similar to physiologic models in non-critically ill patients with pneumonia, our results suggest this finding can not be applied globally to patients admitted to intensive care units. As patients and providers increasingly use publicly reported information in making health care decisions and referrals, it is critical that the provided information be understood. Our results suggest that severity of illness may influence the mortality index in administrative models. We suggest that when interpreting “report cards” or metrics, health care providers determine how the risk adjustment was made and compares to other risk adjustment models.

Comparison of blood glucose management strategies to achieve control following cardiac surgery (computerized versus paper)

INTRODUCTION

Blood glucose control can be time-consuming and difficult to achieve. We hypothesized that a computerized system to obtain glucose control would enable faster "time to target" and produce less variability in blood glucose levels.

METHODS

Patients who underwent cardiac surgery at a community hospital between January and December 2007 (n = 1131) with glucose control obtained under a paper protocol were compared with similar patients operated on between January and December 2008 (n = 769) whose glucose control was obtained with a computer-driven protocol.

RESULTS

Glucose control was achieved in both groups. The computer group had less variability in glucose levels than the paper group. The mean time to target for the computer group was 3.5 (+/-1.3) hours. The time to target for the paper group was quite skewed; therefore, the median time to target was 6 hours.

CONCLUSIONS

The computer-driven protocol achieved excellent glycemic control.

The use of spirometry testing prior to cardiac surgery may impact the Society of Thoracic Surgeons risk prediction score: a prospective study in a cohort of patients at high risk for chronic lung disease

OBJECTIVES

Chronic lung disease is a significant comorbidity in patients undergoing cardiac surgery. Chronic lung disease is currently being classified and reported to the Society of Thoracic Surgeons database by using either clinical interview or spirometric testing. We sought to compare the chronic lung disease classification captured by the 2 methods.

METHODS

We performed a prospectively designed study in which patients presenting for cardiac surgery, excluding emergent patients, were screened for a history of asthma, a history of 10 or more pack-years of smoking, a persistent cough, and the use of oxygen. Each selected patient underwent spirometry. The presence and severity of chronic lung disease was coded per Society of Thoracic Surgeons guidelines by using the 2 methods of clinical report and spirometric results. The chronic lung disease classifications were compared, and differences were determined by using concordance and discordance rates. The results were then used to construct Society of Thoracic Surgeons-predicted risk models.

RESULTS

The discordant rate was 39.1%, with underestimation of the severity of chronic lung disease in 94% of misclassified patients. This affected the Society of Thoracic Surgeons-predicted risk models for prolonged ventilation, morbidity/mortality, and mortality by increasing the predicted risk when spirometry was used for morbidity/mortality by an average of 1.5 +/- 1.2 percentage points (P < .001) and prolonged ventilation time by an average of 1.3 +/- 1.4 percentage points (P < .001).

CONCLUSION

The use of patient history for symptoms, medication, and/or oxygen use as the only method to determine chronic lung disease for this subgroup of patients led to underreporting of chronic lung disease and underestimation of the risk for adverse outcomes. Therefore data submission to the Society of Thoracic Surgeons database should be designed to capture and correct for potential bias in the definition of chronic lung disease because the rate of spirometry in different centers in defining chronic lung disease is not regulated.