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C Vicente de Vera

Publications and source records attributed to C Vicente de Vera.

5 recordsLinked to original sources
PubMed2006

Bayesian analysis using continuous likelihood ratios for identifying pleural exudates.

STUDY OBJECTIVES: To ascertain if equations that calculate continuous likelihood ratios (CLRs) for pleural exudates improve pleural fluid categorization, especially when false positive or false negative test results are obtained by using Light's criteria. DESIGN AND SETTING: Retrospective review of the clinical and pleural fluid data from a consecutive series of patients with pleural effusion who underwent thoracentesis at the University Hospital Arnau de Vilanova (Lleida, Spain) over an 11-year period. PATIENTS AND METHODS: A total of 1490 patients with pleural effusion (298 transudates and 1192 exudates) were recruited into the study. The presence of a transudate or exudate was established by clinical judgment. We examined the comparative diagnostic accuracy of 4 tests (i.e. pleural fluid protein and lactate dehydrogenase (LDH), and pleural fluid to serum protein and LDH ratios) for discriminating between transudates and exudates. Decision thresholds were determined by receiver operating characteristics (ROC) analysis. Equations for calculating CLRs derived from a logistic regression analysis based on a previously described method. RESULTS: Individual pleural fluid tests did not differ in their diagnostic accuracies according to ROC analysis. We calculated CLRs for the elements of Light's criteria and pleural fluid protein, and also illustrated the sequential use of CLRs for determining posttest probabilities. Overall, CLR formulas had marginal performance for the correct categorization of pleural fluid. CONCLUSIONS: CLRs provide a probabilistic statement as to the likelihood an effusion is a transudate or exudate. However, clinical judgment is little changed by the application of CLRs, and in doubtful cases a great amount of uncertainty remains. This Bayesian approach is likely to have no major impact on the clinical practice.

Bayes Theorem↗
PubMed2006

[Late nephrology referral influences on morbidity and mortality of hemodialysis patients. A provincial study].

OBJECTIVE: To evaluate the influence of late referral to nephrology of the patients with chronic renal failure in the morbimortality of the patients who start hemodialysis. SUBJETS AND METHODS: There were included in the study the patients who started hemodialysis (HD) as first form of treatment, and that survived at least three months in both hospitals of reference of the province of Huesca from january 1990 to december 2001. Patients who started HD after acute renal failure were excluded. Clinical and analytical data were determined for each patient at the start of HD and during the follow-up. Early (ER) and late referral (LR) were defined by the time of first nephrology encounter greather than or less than 4 months respectively, before HD initiation. Morbidity analysis (using multiple linear regression with rate of days of hospitalization as dependent variable) and global and anual during the first three years of follow-up survival analysis (using Cox proportional hazards regression) were carried out. RESULTS: A total of 139 patients (78%) started HD in the ER group and 39 (22%) in LR group. Mean follow-up was similar in both (ER = 34.43 +/- 25.5 months; LR = 34.42 +/- 28.37 months). At the start of dialysis LR was associated to higher proportion of temporary catheters, lower level of hematocrit and albumin, higher comorbidity and higher levels of urea and creatinine. Risk factors selected by the model in the morbidity analysis were index of comorbidity (CI), late referral, serum albumin, urea reduction ratio (URR) and hematocrit (R2 = 0.334, F = 16.97, p < 0.005). The final equation of regression was: Rate of hospitalization's days = 101.12 + (2.45 x CI) - (12. 11 x LR) - (11.57 x Alb.) - (0.43 x PRU) - (0.83 x Hto). Variables selected by Cox's regression model that were associated with survival throughout complete follow-up were hematocrit (RR = -0,207, CI 95% 0.726-0.910, p < 0.0005), index of comorbidity (RR = 0,265, CI 95% 1.066-1.594, p = 0.007), PRU (RR = - 0,059, CI 95% 0.893-0.996, p = 0.038) and type of dialysis membrane (RR = 0,771, Cl 95% 0.260-0.822, p = 0.007). Nevertheless, in successive models fitting after 12, 24 and 36 months of follow-up the variable LR influenced in an independent way survival first two years, losing his significance later. CONCLUSION: In our study patients of the group LR presented a worse clinical and metabolic situation at the beginning of the HD. Later there was demonstrated in this group a higher long-term morbidity and a lower survival the first two years.

Adult↗