Renal dysfunction as an independent predictor of total mortality after acute coronary syndrome: the Thai ACS Registry.

BACKGROUND: Renal insufficiency in the acute coronary syndrome (ACS) is associated with poor cardiac outcome. In Asian populations, there are no data available for these associations. MATERIAL AND METHOD: Data was from the Thai ACS registry, only a new case of ACS. Clinical characteristics, treatment strategies, in-hospital mortality and 1-year mortality were compared for patients with normal or mild renal dysfunction (estimated glomerular filtration rate [eGFR]> 60 ml/minute/1.73 m2, n = 809 [44.5%]), moderate renal dysfunction (eGFR 30-60 ml/minute/1.73 m2, n = 706 [38.9%]), and severe renal dysfunction (eGFR < 30 ml/minute/1.73 m2, n = 301 [16.6%]). RESULTS: Of the 1,816patients with mean follow-up 10.8 months, the mean age was 65 years, and 59.2 percent of the groups were male. Patients with severe renal dysfunction were significantly older, less likely to be male (45.2%, p < 0.001) and had a greater prevalence of diabetes (63.1%, p < 0.001) and hypertension (85.4%, p < 0.001). In-hospital and 1-year mortality were 13.5% and 22.5% respectively. According to discharge diagnosis, unadjusted hazard ratios for overall in-hospital mortality was statistically significant only in ST elevation MI subgroup, hazard ratio was 2.73 (95% CI, 1.72 to 4.34) and 6.27 (95% CI, 3.78 to 10.4) for moderate and severe renal dysfunction group, respectively. The risk of death for all types of ACS at 1-year follow up increased when eGFR decreased below 60 ml/minute/1.73 m2, the adjusted hazard ratio was 1.66 (95% CI,1.22 to 2.23) and 1.91 (95% CI, 1.34 to 2.72) for moderate and severe renal dysfunction group, respectively. CONCLUSION: From Thai ACS registry, renal dysfunction at presentation is an independent predictor for the overall 1-year mortality and appeared to associate with an increase in hospital mortality in the subsets with STEMI

Demographic, management practices and in-hospital outcomes of Thai Acute Coronary Syndrome Registry (TACSR): the difference from the Western world.

BACKGROUND: To establish a national registration of acute coronary syndrome (ACS) registry in Thailand by networking health service institutions to determine the demographic, management practices, and in-hospital outcomes of patients with ACS. MATERIAL AND METHOD: The Thai ACS registry is a multi-center prospective project of nationwide registration in Thailand. Institutions were invited to participate in the registry through members of the Heart Association of Thailand. A series of workshops were organized to ensure standardization and quality control of the data and conduct of the present study. Web-based double data entry was used and the data were centrally managed and analyzed. RESULTS: The enrollment of the patients started in August 2002. After three years, records of 9,373 patients were collected from 17 hospitals. The patients were classified as ST elevation myocardial infarction (STEMI) (40.9.%), non-ST-elevation myocardial infarction (NSTEMI) (37.9%) and unstable angina (UA) (21.2%). The STEMI group was younger predominantly male, with a fewer number of diabetes than NSTEMI or UA. About half of the STEMI patients (52.6%) received reperfusion therapy. Primary percutaneous coronary intervention (PCI) was performed in 22.2% of STEMI. The median door to needle and door to balloon time were 85.0 and 122 minutes respectively. The median times to treatment were 240 minutes in the thrombolysis group and 359 minutes in the primary PCI group. Nearly half of NSTEMI and UA went to coronary angiography and about one-fourth of them received revascularization either PCI or coronary artery bypass grafting in the same admission. The total mortality rate was high in STEMI (17.0%) followed by NSTEMI (13.1%) and UA (3.0%). CONCLUSION: Thai ACS registry provides a detail of demographic, management practices, and in-hospital outcomes of patients with ACS. Time from onset to admission, door to needle time and door to balloon time were considered as suboptimal. Overall, in-hospital mortality is higher than reports from Western countries. The raising awareness among the general population about urgency of seeking medical attention for chest pain and concerted effect to improve in-hospital time delay is warranted. These data may have an impact on our health care system and alert the government to adopt an appropriate policy to solve these problems.

Costs of payment in Thai acute coronary syndrome patients.

BACKGROUND: Acute coronary syndrome (ACS) is a major health care syndrome that can financially burden patients throughout the world, including Thailand. Few studies purposed estimating the costs of treatment. The data from the ACS registry database represented the costs of hospital charges paid by ACS patients. Although these were not the actual treatment costs, the authors can approximately estimate the total expenditure for the first admission. OBJECTIVES: First, calculate the cost of ACS to the patients, including diagnostic, demographic data, treatment modalities, type of payers, hospital profile, and outcomes. Second, find the appropriate model to identify the independent factors for predicting the treatment costs. MATERIAL AND METHOD: The present study collected data from the second and third phase of a national multicenter prospective registry of ACS in Thailand, Thai ACS registry (TACSR). 3,552 patients with new onset of ACS were analyzed. RESULTS: Median age was 67 years (range 26.5-105.5) with predominately male and median length of stay (LOS) was 7 days (range, 1-184). 42% referred from other hospitals. The median cost of the total population was 47,908 baht (range, 633-1,279,679). When classified into those of STEMI, NSTEMI, and UA, the costs were 82,848.5, 40,531 and 26,116 baht respectively, p < 0.0001. Patients in the government hospital had to pay the total cost with PCI and CABG, 152,081-161,374 baht and 203,139-223,747 baht respectively, while the private hospital charged almost twice as much. For the types of payers, private insurance including private employee security fund paid significantly more than others. Costs in patients paid by "30 baht na tional health scheme and social security fund" were significantly less than those of others. For modality of treatment in STEMI, primary PCI was significantly more costly than thrombolytics and no reperfusion therapy, 161,096.5 vs. 60,043.0 and 33,335.0 baht respectively p < 0.0001. Early invasive groups in NSTEMI/UA had much higher median costs 145,794.0 baht when compared to those of the conservative group, 47,908 baht, p < 0.0001. Two multiple linear regression models according to the diagnostic group identified the independent factors for predicting cost. PCI, LOS, CABG, admission in a private hospital, Death, GPIIb/IlIa inhibitors use, major bleeding, coronary angiogram, thrombolytics use, age and diabetes were independent predictors for the cost in STEMI patients, R2 = 0.58. For those of NSTEMI/UA, the independent predictors for the cost were PCI, LOS, CABG, admission in a private hospital, death, GP IIb/IIIa inhibitors use, major bleeding, coronary angiogram, age, ventricular arrhythmia, CHF and referred patients, R2 =0.62. CONCLUSION: Costs in ACS patients were markedly different among diagnostic groups. The clinical risk factors were hospital type, type of payers, referred system, treatment procedures, drugs used and complications including outcome. Some of these factors could independently predict the costs.

Benefit of electrocardiography during front-line combination paclitaxel and carboplatin chemotherapy for epithelial ovarian cancer.

OBJECTIVE: To evaluate the patterns of electrocardiography (ECG), cardiac risk factors and its clinical consequence in women with epithelial ovarian cancer (EOC) who received paclitaxel and carboplatin (PC) as front line chemotherapy. MATERIAL AND METHOD: The medical records and electrocardiographic data of women with EOC who received paclitaxel (175 mg/min2) and carboplatin (AUC=5) every 3 weeks at Chiang Mai University Hospital between January 2000 and December 2004 were reviewed for cardiac risk factors and clinical consequence. RESULTS: Among 79 women receiving PC for EOC, 43 (54.4%) had cardiac risk factors. Seventy (88.6%) women had normal ECG, the remaining nine had sinus tachycardia (5), bundle branch block (2), mild T inversion (1), and Wolff-Parkinson-White syndrome (1) before the first course of chemotherapy. Among 70 women with normal initial ECG 8 (11.4%) had sinus tachycardia, one (1.4%) had early depolarization, two (2.9%) had sinus bradycardia and three (4.3%) had sinus arrhythmia in subsequent ECG All these cardiac disturbances were asymptomatic and needed no intervention, indicating grade I toxicity. The odds ratio of developing abnormal ECG in women with cardiac risk factor was 1.24 (95% CI = 0.33 to 4.64, p = 0.77). Among nine patients with abnormal ECG before the first course of PC, six (66.7%) had subsequent abnormal ECG but all were asymptomatic and no worsening of abnormal ECG pattern was noted. CONCLUSION: Although paclitaxel and carboplatin chemotherapy could induce abnormal ECG in women with either normal or abnormal prior ECG, its consequence was of no clinical significance. Therefore, the benefit of ECG before each treatment course was theoretically limited.

A predictive model for distinguishing ischemic from non-ischemic cardiomyopathy.

OBJECTIVES: To develop a predictive model to distinguish ischemic from non-ischemic cardiomyopathy MATERIAL AND METHOD: The authors randomly assigned 137 patients with LV systolic dysfunction into two subsets--one to derive a predictive model and the other to validate it. Clinical, electrocardiographic and echocardiographic data were interpreted by blinded investigators to the subsequent coronary angiogram results. Ischemic cardiomyopathy was diagnosed by the presence of significant coronary artery disease from the coronary angiogram. The final model had been derived from the clinical data and was validated using the validating set. The receiver-operating characteristics (ROC) curves and the diagnostic performances of the model were estimated. RESULTS: The authors developed the following model: Predictive score = (3 x presence of diabetes mellitus) + number of ECG leads with abnormal Q waves--(5 x presence of echocardiographic characteristic of nonischemic cardiomyopathy). The model was well discriminated (area under ROC curve = 0.94). Performance in the validating sample was equally good (area under ROC curve = 0.89). When a cut-off point > or = 0 was used to predict the presence of significant coronary artery disease, the model had a sensitivity, specificity and positive and negative predictive values of 100%, 57%, 74% and 100%, respectively. CONCLUSION: With the high negative value of this model, it would be useful for use as a screening tool to exclude non-ischemic cardiomyopathy in heart failure patients and may avoid unnecessary coronary angiograms.