4 resultados para Predictive values
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
Objective: To determine the clinical maternal and neonatal outcomes in HELLP syndrome patients treated with dexamethasone who either developed renal injury or renal insufficiency and to identify predictive values of urea and creatinine for the identification of subjects with HELLP syndrome at risk of developing renal insufficiency. Methods: Non-radomized intervention study of dexamethasone use in HELLP syndrome. A total of 62 patients were enrolled at Maternidade Escola Januário Cicco (MEJC). Patients received a total of 30 mg of dexamethasone IV, in three doses of 10 mg every 12 hours. A clinical and laboratory follow up were performed at 24, 48 and 72 hours. Patients were followed up to 6 months after delivery. Patients were grouped in accordance to renal function, i.e, normal and some type of renal lesion. Renal lesion was considered when creatinine was equal or greater than 1.3 mg/dl and diuresis less than 100 ml in 4 hours period and renal insufficiency was defined when dialysis was needed. Results: A total of 1230 patients with preeclampsia were admitted at MEJC. Of those 62 (5%) developed HELLP syndrome. There was no statistical difference in the groups with renal involvement or normal renal function with respect to the demographics, type of anesthesia used and delivery, and weight of the newborn. An improvement in the AST, ALT, LDH, haptoglobine, antithrombine, fibrinogenen and platelets was observed within 72 hours after dexamethosone use. There was a significant increase in the diuresis within the interval of 6 hours before the delivery and 24 hours after it. Of the 62 patients, 46 (74. 2%) had normal renal function and 16 (25.8%) evolved with renal lesion, with 5 (8.1%) needing dialysis. These 5 patients who received dialysis recovered the xi renal function. The delay in administering dexamethasone increased in 4.6% the risk of development of renal insufficiency. Patients with renal insufficiency had received significantly more blood products than subjects without renal lesion (p=0.03). Diuresis, leukocytes, uric acid, urea, creatinine were significantly different between the groups with normal renal function, renal lesion and renal insufficiency. The levels of creatinine 1.2mg/dl and uric acid 51mg/dl, at admission are predictive of subjects who will evolve with renal lesion (p<0.001). Maternal mortality was 3.2%. None of the subjects with renal insufficiency evolved with chronic renal disease. Conclusions: Dexamethasone in patients with HELLP syndrome seems to reduce significantly the hepatic microthrombosis and normalize hemostasis as seen by improvement of liver function. Renal injury can be considered, in HELLP syndrome, when creatinine levels are greater than 1.3 mg/dl and diuresis less than 100 ml/h in interval of 4 hours. The level of creatinine greater than 1.2 mg/dl and urea greater than 51mg/dl are predictive of subjects with HELLP syndrome who will develop renal injury. Patients who receive more red cell packs develop renal insufficiency. Finally, the delay in administering dexamethasone increases the risk of developing renal insufficiency
Resumo:
Trasnversal study, with the objective of evaluating the accuracy of clinical indicators of nursing diagnosis excessive fluid volume in patients undergoing hemodialysis. The study occurred in two stages, the first consisted of the evaluation of the diagnostic indicators in study; and the second, the diagnostic inference conducted by nurse diagnosticians. The first stage occurred from december 2012 to april 2013, in a University Hospital and a Hemodialysis Clinic in Northeastern of Brazil, with a sample of 100 chronic renal failure patients on hemodialysis. The data were selected through an interview form and a physical examination, organized into spreadsheets and analyzed as to the presence or absence of the indicators of diagnosis excessive fluid volume. In the second step, the spreadsheets were sent to three nurses diagnosticians, who judged the presence or absence of diagnosis in the clientele searched. This step was conducted from july to september 2013. For analysis of the data, we used descriptive and inferential statistics. In the descriptive analysis, we used measures of central tendency and dispersion. In inferential analysis, we used the tests Chi- square, Fisher and prevalence ratios. The accuracy of the clinical indicators pertaining to the diagnosis were measured as to the specificity, sensitivity, predictive values, likelihood ratios and Diagnostic Odds Ratio. Also developed a logistic regression. The results were organized in tables and discussed with literature. This study was approved by the Ethics Committee in Research of the Federal University of Rio Grande do Norte, with Presentation Certificate for Ethics Appreciation nº 08696212.7.0000.5537. The results revealed that the diagnosis studied was present in 82% of patients. The characteristics with prevalence above 50 % that stood out were: azotemia, decreased hematocrit, electrolyte imbalance, intake exceeds output, anxiety, edema, decreased hemoglobin, oliguria and blood pressure changes. Eight defining characteristics were presented statistically significant association with the nursing diagnosis investigated: pulmonary congestion, intake exceeds output, electrolytes imbalance, jugular vein distension, edema, weight gain over short period of time, agitation and adventitious breath sounds. Among these, the 10 characteristics which showed higher prevalence ratios were: edema and weight gain over short period of time. The features with the highest sensitivity were edema, electrolytes imbalance and intake exceeds output and the standing out with greater specificity were: anasarca, weight gain over short period of time, change in respiratory pattern, adventitious breath sounds, pulmonary congestion, agitation and jugular vein distension. The indicators jugular vein distension, electrolytes imbalance, intake exceeds output, increased central venous pressure and edema, together, were identified in the logistic regression model as the most significant predictors. It is concluded that the identification of accurate clinical indicators allow a good prediction of the nursing diagnosis of excessive fluid volume in patients undergoing hemodialysis in order to assist the nurse in the inference process, which will contribute to the success of patient care. In addition, nurses will consider for diagnostic inference not only his clinical experience, but also scientific evidence of the occurrence of excessive fluid volume, contributing to the control of volemia in these patients
Resumo:
In the early 1990s, a major milestone in the treatment of Acquired Immune Deficiency Syndrome was the development of highly active combination antiretroviral therapy. The great benefit generated by the use of this therapy was prolonging the survival of the people who got this disease, since it is no longer considered fatal, becoming a chronic condition. Despite improvements generated by this therapy, there are still many difficulties to be overcome. One is the patient adherence to their treatment, bringing challenges to services and health professionals. Hence the need for early identification of nursing diagnosis Lack of Accession so that solutions are sought by the nurse with the patient and his family. With this problem, adds to the difficulty of hospital nurses in inferring that diagnosis, especially in identifying their defining characteristics. In this context, the objective was to evaluate the accuracy of clinical indicators of nursing diagnosis Lack of Adherence to antiretroviral treatment for people living with the Acquired Immunodeficiency Syndrome. The research took place in two stages. The first consists of the evaluation of the diagnostic indicators in the study; and second, the diagnostic inference performed by specialist nurses. The first step took place in a referral hospital in the treatment of infectious diseases in the Northeast of Brazil, and data were collected through an instrument for carrying out history and physical examination and analyzed for the presence or absence of the diagnostic indicators. In the second stage, the data were sent to experts, who judged the presence or absence of the diagnosis in the studied clientele. The project was submitted to the Ethics Committee of the Federal University of Rio Grande do Norte, obtaining approval with the General Certificate for Ethics Assessment (CAAE) No 46206215.3.0000.5537. Data were analyzed using descriptive and inferential statistics. Test were used Fisher's exact, chi-square test of Pearson and logistic regression. Since the accuracy of clinical indicators was measured by sensitivity, specificity, predictive values, likelihood ratios. As a result, we identified the presence of diagnosis Lack of Accession on 69% (n = 78) of the study patients. The defining characteristics that showed statistically significant association with the diagnosis studied were: lack of adherence behavior, complications related to development, missing scheduled appointments, failure to achieve results, and exacerbation of symptoms. The characteristic with greater sensitivity was missing scheduled appointments and the highest specificity behavior of noncompliance. The logistic regression showed as predictors for the diagnosis Lack of Accession: lack of adherence behavior, missing scheduled appointments, failure to achieve results, and exacerbation of symptoms. It was concluded that the identification of clinical indicators accurately enabled a good prediction of the nursing diagnosis Lack of Accession on people living with the Acquired Immune Deficiency Syndrome, helping nurses develop early on strategies for promoting adherence to the use of antiretrovirals.
Resumo:
In the early 1990s, a major milestone in the treatment of Acquired Immune Deficiency Syndrome was the development of highly active combination antiretroviral therapy. The great benefit generated by the use of this therapy was prolonging the survival of the people who got this disease, since it is no longer considered fatal, becoming a chronic condition. Despite improvements generated by this therapy, there are still many difficulties to be overcome. One is the patient adherence to their treatment, bringing challenges to services and health professionals. Hence the need for early identification of nursing diagnosis Lack of Accession so that solutions are sought by the nurse with the patient and his family. With this problem, adds to the difficulty of hospital nurses in inferring that diagnosis, especially in identifying their defining characteristics. In this context, the objective was to evaluate the accuracy of clinical indicators of nursing diagnosis Lack of Adherence to antiretroviral treatment for people living with the Acquired Immunodeficiency Syndrome. The research took place in two stages. The first consists of the evaluation of the diagnostic indicators in the study; and second, the diagnostic inference performed by specialist nurses. The first step took place in a referral hospital in the treatment of infectious diseases in the Northeast of Brazil, and data were collected through an instrument for carrying out history and physical examination and analyzed for the presence or absence of the diagnostic indicators. In the second stage, the data were sent to experts, who judged the presence or absence of the diagnosis in the studied clientele. The project was submitted to the Ethics Committee of the Federal University of Rio Grande do Norte, obtaining approval with the General Certificate for Ethics Assessment (CAAE) No 46206215.3.0000.5537. Data were analyzed using descriptive and inferential statistics. Test were used Fisher's exact, chi-square test of Pearson and logistic regression. Since the accuracy of clinical indicators was measured by sensitivity, specificity, predictive values, likelihood ratios. As a result, we identified the presence of diagnosis Lack of Accession on 69% (n = 78) of the study patients. The defining characteristics that showed statistically significant association with the diagnosis studied were: lack of adherence behavior, complications related to development, missing scheduled appointments, failure to achieve results, and exacerbation of symptoms. The characteristic with greater sensitivity was missing scheduled appointments and the highest specificity behavior of noncompliance. The logistic regression showed as predictors for the diagnosis Lack of Accession: lack of adherence behavior, missing scheduled appointments, failure to achieve results, and exacerbation of symptoms. It was concluded that the identification of clinical indicators accurately enabled a good prediction of the nursing diagnosis Lack of Accession on people living with the Acquired Immune Deficiency Syndrome, helping nurses develop early on strategies for promoting adherence to the use of antiretrovirals.