Objective: To assess serum levels of carbohydrate antigen 125 (CA125) in patients with chronic congestive heart failure (CHF) and to assess any correlation with clinical symptoms and echocardiographic indices. Patients and methods: We enrolled 77 male patients (mean age: 73F10 years) admitted to the Cardiology Emergency Department (ED) with cardiac symptoms requiring hospitalization. Diagnosis of CHF was based upon medical history or initial echocardiographic evaluation on current admission. Serum CA125 was measured by an enzyme immunoradiometric assay, on admission and before discharge. Results: The median overall CA125 value was 22.4 (11.5-48.9) U/ml. Serum CA125 levels were related to the severity of CHF [New York Heart Association (NYHA) class I: 19.2 (7.2-31) U/ml, NYHA class II: 17.6 (10-23) U/ml, NYHA class III: 32 (25-77) U/ml and NYHA class IV: 34.3 (18.6-77) U/ml ( pb0.04)]. Patients in NYHA classes III and IV had significantly higher mean values of CA125, than patients in class II ( pb0.005 and pb0.05, respectively). Moreover, patients with fluid congestion (pulmonary congestion, ankle edema) had higher levels of serum CA125 than patients without congestion ( p=0.002 and pb0.03, respectively). Finally, levels of serum CA125 correlated weakly with right ventricular systolic pressure (RVSP) and renal function, while no significant correlation was found between CA125 and E wave deceleration time on Doppler echocardiography, left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDD), liver function and the medical treatment prescribed. Conclusion: Serum CA125 is associated with the clinical severity of CHF and the symptoms and signs of fluid congestion and therefore may be a useful additional tool for the evaluation and clinical staging of these patients.
Risk stratification of patients with diabetic ketoacidosis is possible from simple clinical and laboratory variables available during the first day of hospitalization.
Purpose. To develop a simple and reliable diagnostic tool for differentiation of cerebral infarction (CIF) from intracerebral haemorrhage (ICH) in order to aid clinicians to decide about starting antiplatelet therapy in settings where rapid access to computed tomography (CT) is lacking. Methods. Thirty variables regarding each patient admitted with acute stroke were recorded and considered in a logistic regression analysis using ICH as end-point (internal study). CT was used as the golden standard. The score derived was validated with data from the next consecutive stroke patients and was compared with the three preexisting scores (external validation study). Results. Amongst 235 patients (119 males, mean age 70.6 ± 11.2 years) of the internal study, 43 (18.3%) had ICH. Four independent correlates of ICH were identified and used for the derivation of the following integer-based scoring system: number of points ¼ 6 * (neurological deterioration within 3 h from admission) + 4 * (vomiting) + 4 * (WBC > 12 000) + 3 * (decreased level of consciousness). In the external study [168 patients, 85 males, mean age 70.2 ± 10.8 years, 31 (18.5%) with ICH], when the cut-offs £3 points for CIF and ‡11 points for ICH were used, sensitivity, specificity, and positive and negative predictive values of the score for detection of stroke type were 97, 99, 97 and 99%, respectively; exceeding noticeably the three previously proposed systems.Conclusions. The proposed model provides an easy to use tool for sufficiently accurate differentiation between haemorrhagic and nonhaemorrhagic stroke on the basis of information available to all physicians early after admission.
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