Incidence and outcomes of perioperative myocardial infarction/injury diagnosed by high-sensitivity cardiac troponin I.

BACKGROUND:  Perioperative myocardial infarction/injury (PMI) diagnosed by high-sensitivity troponin (hs-cTn) T is frequent and a prognostically important complication of non-cardiac surgery. We aimed to evaluate the incidence and outcome of PMI diagnosed using hs-cTnI, and compare it to PMI diagnosed using hs-cTnT. METHODS: We prospectively included 2455 patients at high cardiovascular risk undergoing 3111 non-cardiac surgeries, for whom hs-cTnI and hs-cTnT concentrations were measured before surgery and on postoperative days 1 and 2. PMI was defined as a composite of perioperative myocardial infarction (PMIInfarct) and perioperative myocardial injury (PMIInjury), according to the Fourth Universal Definition of Myocardial Infarction. All-cause mortality was the primary endpoint. RESULTS: Using hs-cTnI, the incidence of overall PMI was 9% (95% confidence interval [CI] 8-10%), including PMIInfarct 2.6% (95% CI 2.0-3.2) and PMIInjury 6.1% (95% CI 5.3-6.9%), which was lower versus using hs-cTnT: overall PMI 15% (95% CI 14-16%), PMIInfarct 3.7% (95% CI 3.0-4.4) and PMIInjury 11.3% (95% CI 10.2-12.4%). All-cause mortality occurred in 52 (2%) patients within 30 days and 217 (9%) within 1 year. Using hs-cTnI, both PMIInfarct and PMIInjury were independent predictors of 30-day all-cause mortality (adjusted hazard ratio [aHR] 2.5 [95% CI 1.1-6.0], and aHR 2.8 [95% CI 1.4-5.5], respectively) and, 1-year all-cause mortality (aHR 2.0 [95% CI 1.2-3.3], and aHR 1.8 [95% CI 1.2-2.7], respectively). Overall, the prognostic impact of PMI diagnosed by hs-cTnI was comparable to the prognostic impact of PMI using hs-cTnT. CONCLUSIONS: Using hs-cTnI, PMI is less common versus using hs-cTnT. Using hs-cTnI, both PMIInfarct and PMIInjury remain independent predictors of 30-day and 1-year mortality.

Comparison of high-sensitivity cardiac troponin I and T for the prediction of cardiac complications after non-cardiac surgery.

BACKGROUND: We aimed to directly compare preoperative high-sensitivity cardiac troponin (hs-cTn) I and T concentration for the prediction of major cardiac complications after non-cardiac surgery. METHODS: We measured hs-cTnI and hs-cTnT preoperatively in a blinded fashion in 1022 patients undergoing non-cardiac surgery. The primary endpoint was a composite of major cardiac complications including cardiac death, cardiac arrest, myocardial infarction, clinically relevant arrhythmias, and acute heart failure within 30 days. We hypothesized that the type of surgery may impact on the predictive accuracy of hs-cTnI/T and stratified all analyses according to the type of surgery. RESULTS: Major cardiac complications occurred in 108 (11%) patients, 58/243 (24%) patients undergoing vascular surgery and 50/779 (6%, P < .001) patients undergoing non-vascular surgery. Using regulatory-approved 99th percentile cut-off concentrations, preoperative hs-cTnI elevations were less than one-fifth as common as preoperative hs-cTnT elevations (P < .001). Among patients undergoing vascular surgery, preoperative hs-cTnI concentrations, but not hs-cTnT, was an independent predictor of cardiac complications (adjusted odds ratio (aOR) 1.5, 95% confidence interval (95% CI) 1.0-2.1). The area under the receiver-operating characteristics curve (AUC) was 0.67 (95% CI, 0.59-0.75) for hs-cTnI versus 0.59 (95% CI 0.51-0.67, P = .012) for hs-cTnT. In contrast, among patients undergoing non-vascular surgery both preoperative hs-cTnI and hs-cTnT were independent predictors of the primary endpoint (aOR 1.6, 95% CI 1.3-2.0, and aOR 3.0, 95% CI 2.0-4.6, respectively) and showed higher predictive accuracy (AUC 0.77, 95% CI, 0.71-0.83, and 0.79, 95% CI 0.73-0.85, P = ns). CONCLUSIONS: Preoperative hs-cTnI and hs-cTnT concentrations predict major cardiac complications after non-vascular surgery, while, in patients undergoing vascular surgery, hs-cTnI may have better accuracy.

A Prospective Randomized Controlled Trial of the Metabolic Effects of Sleeve Gastrectomy with Transit Bipartition.

PURPOSE: To compare the effects of the sleeve gastrectomy with transit bipartition (SG + TB) procedure with standard medical therapy (SMT) in mildly obese patients with type II diabetes (T2D). METHODS: This is a prospective, randomized, controlled trial. Twenty male adults, ≤ 65 years old, with T2D, body mass index (BMI) > 28 kg/m2 and < 35 kg/m2, and HbA1c level > 8% were randomized to SG + TB or to SMT. Outcomes were the remission in the metabolic and cardiovascular risk variables up to 24 months. RESULTS: At 24 months, SG + TB group showed a significant decrease in HbaA1c values (9.3 ± 2.1 versus 5.5 ± 1.1%, P = < 0.05) whereas SMT group maintained similar levels from baseline (8.0 ± 1.5 versus 8.3 ± 1.1%, P = NS). BMI values were lower in the SG + TB group (25.3 ± 2.8 kg/m2 versus 30.9 ± 2.5 kg/m2; P = < 0.001). At 24 months, none patient in SG + TB group needed medications for hyperlipidemia/hypertension. HDL-cholesterol levels increased in the SG + TB group (33 ± 8 to 45 ± 15 mg/dL, P < 0.001). After 24 months, the area under the curve (AUC) of GLP1 increased and in the SG + TB group and the AUC of the GIP concentrations was lower in the SG + TB group than in the SMT. At 3 months, SG + TB group showed a marked increase in FGF19 levels (74.1 ± 45.8 to 237.3 ± 234 pg/mL; P = 0.001). CONCLUSIONS: SG + TB is superior to SMT and was associated with a better metabolic and cardiovascular profile.

Prediction of major cardiac events after vascular surgery.

OBJECTIVE: Predicting cardiac events is essential to provide patients with the best medical care and to assess the risk-benefit ratio of surgical procedures. The aim of our study was to evaluate the performance of the Revised Cardiac Risk Index (Lee) and the Vascular Study Group of New England Cardiac Risk Index (VSG) scores for the prediction of major cardiac events in unselected patients undergoing arterial surgery and to determine whether the inclusion of additional risk factors improved their accuracy. METHODS: The study prospectively enrolled 954 consecutive patients undergoing arterial vascular surgery, and the Lee and VSG scores were calculated. Receiver operating characteristic curves for each cardiac risk score were constructed and the areas under the curve (AUCs) compared. Two logistic regression models were done to determine new variables related to the occurrence of major cardiac events (myocardial infarction, heart failure, arrhythmias, and cardiac arrest). RESULTS: Cardiac events occurred in 120 (12.6%) patients. Both scores underestimated the rate of cardiac events across all risk strata. The VSG score had AUC of 0.63 (95% confidence interval [CI], 0.58-0.68), which was higher than the AUC of the Lee score (0.58; 95% CI, 0.52-0.63; P = .03). Addition of preoperative anemia significantly improved the accuracy of the Lee score to an AUC of 0.61 (95% CI, 0.58-0.67; P = .002) but not that of the VSG score. CONCLUSIONS: The Lee and VSG scores have low accuracy and underestimate the risk of major perioperative cardiac events in unselected patients undergoing vascular surgery. The Lee score's accuracy can be increased by adding preoperative anemia. Underestimation of major cardiac complications may lead to incorrect risk-benefit assessments regarding the planned operation.

Impact of cardiology referral: clinical outcomes and factors associated with physicians' adherence to recommendations.

OBJECTIVES: Cardiology referral is common for patients admitted for non-cardiac diseases. Recommendations from cardiologists may involve complex and aggressive treatments that could be ignored or denied by other physicians. The purpose of this study was to compare the outcomes of patients who were given recommendations during cardiology referrals and to examine the clinical outcomes of patients who did not follow the recommendations. METHODS: We enrolled 589 consecutive patients who received in-hospital cardiology consultations. Data on recommendations, implementation of suggestions and outcomes were collected. RESULTS: Regarding adherence of the referring service to the recommendations, 77% of patients were classified in the adherence group and 23% were classified in the non-adherence group. Membership in the non-adherence group (p<0.001; odds ratio: 10.25; 95% CI: 4.45-23.62) and advanced age (p = 0.017; OR: 1.04; 95% CI: 1.01-1.07) were associated with unfavorable outcomes. Multivariate analysis identified four independent predictors of adherence to recommendations: follow-up notes in the medical chart (p<0.001; OR: 2.43; 95% CI: 1.48-4.01); verbal reinforcement (p = 0.001; OR: 1.86; 95% CI: 1.23-2.81); a small number of recommendation (p = 0.001; OR: 0.87; 95% CI: 0.80-0.94); and a younger patient age (p = 0.002; OR: 0.98; 95% CI: 0.96-0.99). CONCLUSIONS: Poor adherence to cardiology referral recommendations was associated with unfavorable clinical outcomes. Follow-up notes in the medical chart, verbal reinforcement, a limited number of recommendations and a patient age were associated with greater adherence to recommendations.

Impact of cardiology referral: clinical outcomes and factors associated with physicians' adherence to recommendations

OBJECTIVES: Cardiology referral is common for patients admitted for non-cardiac diseases. Recommendations from cardiologists may involve complex and aggressive treatments that could be ignored or denied by other physicians. The purpose of this study was to compare the outcomes of patients who were given recommendations during cardiology referrals and to examine the clinical outcomes of patients who did not follow the recommendations. METHODS: We enrolled 589 consecutive patients who received in-hospital cardiology consultations. Data on recommendations, implementation of suggestions and outcomes were collected. RESULTS: Regarding adherence of the referring service to the recommendations, 77% of patients were classified in the adherence group and 23% were classified in the non-adherence group. Membership in the non-adherence group (p<0.001; odds ratio: 10.25; 95% CI: 4.45-23.62) and advanced age (p = 0.017; OR: 1.04; 95% CI: 1.01-1.07) were associated with unfavorable outcomes. Multivariate analysis identified four independent predictors of adherence to recommendations: follow-up notes in the medical chart (p<0.001; OR: 2.43; 95% CI: 1.48-4.01); verbal reinforcement (p = 0.001; OR: 1.86; 95% CI: 1.23-2.81); a small number of recommendation (p = 0.001; OR: 0.87; 95% CI: 0.80-0.94); and a younger patient age (p = 0.002; OR: 0.98; 95% CI: 0.96-0.99). CONCLUSIONS: Poor adherence to cardiology referral recommendations was associated with unfavorable clinical outcomes. Follow-up notes in the medical chart, verbal reinforcement, a limited number of recommendations and a patient age were associated with greater adherence to recommendations. .

Perioperative cardiovascular evaluation: heads or tails?

When dealing with surgical patients, a perioperative evaluation is essential to anticipate complications and institute measures to reduce the risks. Several algorithms and exams have been used to identify postoperative cardiovascular events, which account for more than 50% of perioperative mortality. However, they are far from ideal. Some of these algorithms and exams were proposed before important advances in cardiology, at a time when pharmacological risk reduction strategies for surgical patients were not available. New biomarkers and exams, such as C-reactive protein, brain natriuretic peptide, and multislice computed tomography have been used in cardiology and have provided important prognostic information. The ankle-brachial index is another significant marker of atherosclerosis. However, specific information regarding the perioperative context of all these methods is still needed. The objective of this article is to evaluate cardiovascular risk prediction models after noncardiac surgery.

Perioperative cardiovascular evaluation: heads or tails?

When dealing with surgical patients, a perioperative evaluation is essential to anticipate complications and institute measures to reduce the risks. Several algorithms and exams have been used to identify postoperative cardiovascular events, which account for more than 50% of perioperative mortality. However, they are far from ideal. Some of these algorithms and exams were proposed before important advances in cardiology, at a time when pharmacological risk reduction strategies for surgical patients were not available. New biomarkers and exams, such as C-reactive protein, brain natriuretic peptide, and multislice computed tomography have been used in cardiology and have provided important prognostic information. The ankle-brachial index is another significant marker of atherosclerosis. However, specific information regarding the perioperative context of all these methods is still needed. The objective of this article is to evaluate cardiovascular risk prediction models after noncardiac surgery.

Cardiovascular prevention in HIV patients: results from a successful intervention program.

OBJECTIVES: To analyze the effect of a prevention program on the estimated cardiovascular risk calculated by three risk scores. METHODS: We prospectively evaluated 87 HIV+patients with elevated cardiovascular risk estimation. Framingham (FRS), PROCAM and National Cholesterol Education Program (ATP-III) were applied. Cardiovascular risk was defined as elevated if >10%. All patients received non-pharmacological (diet, exercise, smoking cessation) and, when appropriate, pharmacological therapy. RESULTS: Mean age was 52 years, 92% were male, 39.1% were smokers, 70.1% had hypertension, 18.4% had diabetes. All patients were under HAART, 56.3% were receiving protease inhibitors (PI). After 6 months, intervention was associated to significant changes on triglycerides (298+/-242 and 206+/-135 mg/dL, p<0.05), total-cholesterol (224+/-47 and 189+/-38 mg/dL, p<0.001), LDL-cholesterol (129+/-44 and 109+/-30 mg/dL, p<0.001). Frequencies of patients with elevated cardiac risk before and 6 months after intervention were 92% x 27.6% (p<0.0001), 80.5% x 50.6% (p<0.0002), and 25.3% x 14.9% (p=0.12), for FRS, ATP III and PROCAM, respectively. CONCLUSIONS: An intervention program focused on reduction of traditional risk factors was able to decrease the frequency of patients with HIV infection and elevated cardiovascular risk estimation. FRS showed greater sensitivity than the other scores.

Acute pericarditis with transient constriction: surgical impetus must be contained.

Constrictive pericarditis is typically a chronic and progressive condition characterised by debilitating chronic right heart failure and surgical pericardiectomy remains the treatment of choice. Although most cases of acute pericarditis are self-limiting, an uncommon but known complication is a transient form of constrictive pericarditis that shares the same clinical features with the chronic form but resolves without surgical intervention.We report a case of a 29-year-old man with acute idiopathic pericarditis complicated with overt signs of constriction with complete recovery after medical treatment. The knowledge of this transient pattern of cardiac constriction complicating acute pericarditis may avoid unnecessary morbidity and mortality related to surgical procedure in a pericardium with acute inflammatory reaction.