ABSTRACT
OBJECTIVE: To assess the added value of pulmonary function tests (PFTs) and different classifications of chronic obstructive pulmonary disease (COPD) to the Society of Thoracic Surgeons (STS) risk model using a clinical definition of lung disease for predicting outcomes after cardiothoracic (CT) surgery. METHODS: We evaluated consecutive patients who underwent nonemergency cardiac surgery and underwent PFTs before CT surgery. We used the STS risk model 2.73 to estimate the postoperative risk for respiratory failure (RF; defined as the need for mechanical ventilation for ≥72 hours, or reintubation), prolonged postoperative stay (PPLS; defined as >14 days), and 30-day all-cause mortality. We plotted the receiver operating characteristics curve for STS score for each adverse event, and compared the resulting area under the curve (AUC) with the AUC after adding PFT parameters and COPD classifications. RESULTS: Of the 1412 patients with a calculated STS score, 751 underwent PFTs. The AUC of the STS score was 0.65 (95% confidence interval [CI], 0.55-0.74) for RF, 0.67 (95% CI, 0.6-0.74) for prolonged postoperative length of stay (PPLS), and 0.74 (95% CI, 0.6-0.87) for death. None of the PFT parameters or COPD classifications added to the predictive ability of STS for RF, PPLS, or 30-day mortality. CONCLUSIONS: Adding individual PFT parameters or different COPD classifications to STS score calculated using clinically based classification of lung disease did not improve model discrimination. Thus, routine preoperative PFTS may have limited clinical utility in patients undergoing CT surgery when the STS score is readily available.
Subject(s)
Cardiac Surgical Procedures/adverse effects , Heart Diseases/surgery , Lung/physiopathology , Pulmonary Disease, Chronic Obstructive/diagnosis , Respiratory Function Tests , Respiratory Insufficiency/etiology , Aged , Area Under Curve , Cardiac Surgical Procedures/mortality , Elective Surgical Procedures , Female , Heart Diseases/complications , Heart Diseases/diagnosis , Heart Diseases/mortality , Heart Diseases/physiopathology , Humans , Intubation, Intratracheal , Length of Stay , Male , Middle Aged , Patient Selection , Predictive Value of Tests , Preoperative Care , Pulmonary Disease, Chronic Obstructive/classification , Pulmonary Disease, Chronic Obstructive/complications , Pulmonary Disease, Chronic Obstructive/mortality , Pulmonary Disease, Chronic Obstructive/physiopathology , ROC Curve , Respiration, Artificial , Respiratory Insufficiency/diagnosis , Respiratory Insufficiency/mortality , Respiratory Insufficiency/physiopathology , Respiratory Insufficiency/therapy , Risk Assessment , Risk Factors , Severity of Illness Index , Time FactorsABSTRACT
AIMS: To investigate the association of pericardial, mediastinal, and intrathoracic fat volumes with the presence and severity of coronary artery disease (CAD), metabolic syndrome (MS), and cardiac risk factors (CRFs). METHODS AND RESULTS: Two hundred and sixteen consecutive patients who underwent cardiac magnetic resonance (CMR) imaging and had a coronary angiogram within 12 months of the CMR were studied. Fat volume was measured by drawing region of interest curves, from short-axis cine views from base to apex and from a four-chamber cine view. Pericardial fat, mediastinal fat, intrathoracic fat (addition of pericardial and mediastinal fat volumes), and fat ratio (pericardial fat/mediastinal fat) were analysed for their association with the presence and severity of CAD (determined based on the Duke CAD Jeopardy Score), MS, CRFs, and death or myocardial infarction on follow-up. Pericardial fat volume was significantly greater in patients with CAD when compared with those without CAD [38.3 ± 25.1 vs. 31.9 ± 21.4 cm(3) (P = 0.04)]. A correlation between the severity of CAD and fat volume was found for pericardial fat (ß = 1, P < 0.01), mediastinal fat (ß = 1, P = 0.03), intrathoracic fat (ß = 2, P = 0.01), and fat ratio (ß = 0.005, P = 0.01). These correlations persisted for all four thoracic fat measurements even after performing a stepwise linear regression analysis for relevant risk factors. Patients with MS had significantly greater mediastinal and intrathoracic fat volumes when compared with those without MS [126 ± 33.5 vs. 106 ± 30.1 cm(3) (P < 0.01) and 165 ± 54.9 vs. 140 ± 52 cm(3) (P < 0.01), respectively]. However, there was no significant difference in pericardial fat, mediastinal fat, intrathoracic fat, or fat ratio between patients with or without myocardial infarction during the follow-up [33.6 ± 22.1 vs. 35.7 ± 23.8 cm(3) (P = 0.67); 115 ± 26.2 vs. 114 ± 33.8 cm(3) (P = 0.84); 149 ± 44.7 vs. 150 ± 55.7 cm(3) (P = 0.95); and 0.27 ± 0.15 vs. 0.28 ± 0.14 (P = 0.70), respectively]. There was no significant difference in pericardial fat, mediastinal fat, intrathoracic fat, or fat ratio between patients who were alive compared with those who died during follow-up [36.6 ± 26.6 vs. 35.3 ± 23.2 cm(3) (P = 0.76); 114 ± 40.2 vs. 114 ± 31.4 cm(3) (P = 0.95); 150 ± 64.7 vs. 149 ± 52.5 cm(3) (P = 0.92); and 0.29 ± 0.15 vs. 0.28 ± 0.14 (P = 0.85), respectively]. CONCLUSION: Our study confirms an association between pericardial fat volume with the presence and severity of CAD. Furthermore, an association between mediastinal and intrathoracic fat volumes with MS was found.
