Dataset Information

Enhanced Recovery After Surgery Protocol Minimizes Intensive Care Unit Utilization and Improves Outcomes Following Pulmonary Resection.

ABSTRACT:

Background

Enhanced recovery after surgery (ERAS) protocols have been associated with improved postoperative outcomes but require further validation in thoracic surgery. This study evaluated outcomes of patients undergoing pulmonary resection before and after implementation of an ERAS protocol.

Methods

Electronic medical records were queried for all patients undergoing pulmonary resection between April 2017 and April 2019. Patients were grouped into pre- and post-ERAS cohorts based on dates of operation. The ERAS protocol prioritized early mobilization, limited invasive monitoring, euvolemia, and non-narcotic analgesia. Primary outcome measures included intensive care unit (ICU) utilization, postoperative pain metrics, and perioperative morbidity. Regression analyses were performed to identify predictors of morbidity. Subgroup analyses were performed by pulmonary risk profile and surgical approach.

Results

A total of 64 pre- and 67 post-ERAS patients were included in the study. ERAS implementation was associated with reduced postoperative ICU admission (pre: 65.6% vs. post: 19.4%, p < 0.0001), shorter ICU median length of stay (LOS) (pre: 1 vs. post: 0, p < 0.0001), and decreased opioid usage measured by median morphine milligram equivalents (pre: 40.5 vs. post: 20.0, p < 0.0001). Post-ERAS patients also reported lower visual analog scale (VAS) pain scores on postoperative days (POD) 1 and 2 (pre: 6.3/5.6 vs. post: 5.3/4.2, p = 0.04/0.01) as well as average VAS pain score over POD0-2 (pre: 6.2 vs. post: 5.2, p = 0.005).

Conclusions

Implementation of an ERAS protocol for pulmonary resection, which dictated reduced ICU admissions, did not increase major postoperative morbidity. Additionally, ERAS-enrolled patients reported improved postoperative pain control despite decreased opioid utilization.

SUBMITTER: Peng T

PROVIDER: S-EPMC8336670 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundPostoperative pulmonary complication (PPC) is a leading cause of mortality and poor outcomes in postoperative patients. No studies have enrolled intensive care unit (ICU) patients after noncardiac thoracic surgery, and effective prediction models for PPC have not been developed. This study aimed to explore the incidence and risk factors and construct prediction models for PPC in these patients.MethodsThis study retrospectively recruited patients admitted to the ICU after noncardiac thoracic surgery at West China Hospital, Sichuan University, from July 2019 to December 2022. The patients were randomly divided into a development cohort and a validation cohort at a 70% versus 30% ratio. The preoperative, intraoperative and postoperative variables during the ICU stay were compared. Univariate and multivariate logistic regression analyses were applied to identify candidate predictors, establish prediction models, and compare the accuracy of the models with that of reported risk models.ResultsA total of 475 ICU patients were enrolled after noncardiac thoracic surgery (median age, 58; 72% male). At least one PPC occurred in 171 patients (36.0%), and the most common PPC was pneumonia (153/475, 32.21%). PPC significantly increased the duration of mechanical ventilation (p < 0.001), length of ICU stay (p < 0.001), length of hospital stay (LOS) (p < 0.001), and rate of reintubation (p = 0.047) in ICU patients. Seven risk factors were identified, and then the prediction nomograms for PPC were constructed. At ICU admission, the area under the curve (AUC) was 0.766, with a sensitivity of 0.71 and specificity of 0.60; after extubation, the AUC was 0.841, with a sensitivity of 0.75 and specificity of 0.83. The models showed robust discrimination in both the development cohort and the validation cohort, and they were well calibrated and more accurate than reported risk models.ConclusionsICU patients who underwent noncardiac thoracic surgery were at high risk of developing PPCs. Prediction nomograms were constructed and they were more accurate than reported risk models, with excellent sensitivity and specificity. Moreover, these findings could help assess individual PPC risk and enhance postoperative management of patients.

Project description:Cardiac rehabilitation (CR) is associated with decreased mortality and rehospitalization rates for patients with a variety of cardiac conditions. Although CR referral rates for STEMI patients have improved, rates for heart failure have remained low. Many of these patients are admitted to the cardiac intensive care unit (CICU). However, it is unknown how often CICU survivors qualify for cardiac rehabilitation, how often they are referred, and why eligible patients are not referred. This is a retrospective single-center study of 417 consecutive patients admitted to CICU for >48 hours from March 30, 2016 to March 30, 2017. We excluded patients with in-hospital mortality or those discharged AMA, to hospice or transferred. Chart abstraction was used to determine CR indications based on known American College of Cardiology/American Heart Association guidelines. If CR was indicated, medical records through September 2017 were reviewed to determine both referral and participation rates. In the absence of a referral, medical records were reviewed for potential barriers. A total of 296 CICU survivors were identified upon discharge with 185 (63%) having guideline-directed indications for CR referral. The most common indications were heart failure with reduced ejection fraction (HFrEF, 38%), cardiothoracic surgery (26%), and STEMI (23%). Upon discharge, only 30% of patients were referred to CR. The referral rate increased by 33% to 63% by 18 months postdischarge. CR referrals were most frequently placed following STEMI (91%), NSTEMI (80%), and postpercutaneous coronary intervention (80%). Only 35% of HFrEF discharges were referred to CR. Of patients not referred to CR, no explanation for a lack of referral was documented 87% of the time. In conclusion, nearly 2 of 3 patients discharged from the CICU had CR indications, most commonly HFrEF. CR referrals are frequently not placed and reason for nonreferral is rarely documented. CICU admission may provide a defined event to prompt referral.