5 resultados para laboratory data
Resumo:
Patients with intestinal failure who receive HPN are at high risk of developing MBD. The origin of this bone alteration is multifactorial and depends greatly on the underlying disease for which the nutritional support is required. Data on the prevalence of this disease in our environment is lacking, so NADYA-SEMPE group has sponsored this transversal study with the aim of knowing the actual MBD prevalence. MATERIAL AND METHODS: Retrospective data from 51 patients from 13 hospitals were collected. The questionnaire included demographic data as well as the most clinically relevant for MBD data. Laboratory data (calciuria, PTH, 25 -OH -vitamin D) and the results from the first and last bone densitometry were also registered. RESULTS: Bone mineral density had only been assessed by densitometry in 21 patients at the moment HPN was started. Bone quality is already altered before HPN in a significant percentage of cases (52%). After a mean follow up of 6 years, this percentage increases up to 81%. Due to retrospective nature of the study and the low number of subjects included it has not been possible to determine the role that HPN plays in MBD etiology. Only 35% of patients have vitamin D levels above the recommended limits and the majority of them is not on specific supplementation. CONCLUSIONS: HPN is associated with very high risk of MBD, therefore, management protocols that can lead to early detection of the problem as well as guiding for follow up and treatment of these patients are needed.
Resumo:
OBJECTIVES To determine the prevalence of hyponutrition at admission at a mid- to long-term stay hospital. To analyze the possible factors associated to hyponutrition; the possible relationship with mortality at one month, and the treatments for hyponutrition performed. MATERIALS AND METHOD Descriptive study from the laboratory data obtained in 140 patients. For diagnosing hyponutrition, a tool based on albumin, total cholesterol, and lymphocytes levels was used. Demographical (age and gender) and clinical data (presence of pressure soars, nasogastric tube, dementia, neoplasm, previous admission to the ICU, and main diagnosis) were gathered at admission as well as the mortality at the first month. The treatments used for hyponutrition were reviewed. RESULTS patients' age was 77.1 years and 63% were females. 17.1% of the patients presented normal nutritional status, 50.7% met the criteria for mild hyponutrition, 26.4% of moderate hyponutrition, and 5.7% of severe hyponutrition. We found no association between hyponutrition and gender, nasogastric tube, soars, dementia or neoplasm, but we did so with age (P = 0.033). We found a relationship between moderate-severe hyponutrition and pressure soars (P = 0.036). We found an association between hyponutrition and mortality at one month (OR = 1.357, 95% CI 1.121 to 1.643; P = 0.02). 35.6% of the patients with moderate-severe hyponutrition received therapy for this condition (28.9% with protein supplements and 6.7% with enteral diet). CONCLUSIONS hyponutrition affects most of the patients admitted to a mid to long-term stay hospitals and is associated with higher mortality. One third of hyponutrition patients receive nutritional therapy.
Resumo:
INTRODUCTION According to several series, hospital hyponutrition involves 30-50% of hospitalized patients. The high prevalence justifies the need for early detection from admission. There several classical screening tools that show important limitations in their systematic application in daily clinical practice. OBJECTIVES To analyze the relationship between hyponutrition, detected by our screening method, and mortality, hospital stay, or re-admissions. To analyze, as well, the relationship between hyponutrition and prescription of nutritional support. To compare different nutritional screening methods at admission on a random sample of hospitalized patients. Validation of the INFORNUT method for nutritional screening. MATERIAL AND METHODS In a previous phase from the study design, a retrospective analysis with data from the year 2003 was carried out in order to know the situation of hyponutrition in Virgen de la Victoria Hospital, at Malaga, gathering data from the MBDS (Minimal Basic Data Set), laboratory analysis of nutritional risk (FILNUT filter), and prescription of nutritional support. In the experimental phase, a cross-sectional cohort study was done with a random sample of 255 patients, on May of 2004. Anthropometrical study, Subjective Global Assessment (SGA), Mini-Nutritional Assessment (MNA), Nutritional Risk Screening (NRS), Gassull's method, CONUT and INFORNUT were done. The settings of the INFORNUT filter were: albumin < 3.5 g/dL, and/or total proteins <5 g/dL, and/or prealbumin <18 mg/dL, with or without total lymphocyte count < 1.600 cells/mm3 and/or total cholesterol <180 mg/dL. In order to compare the different methods, a gold standard is created based on the recommendations of the SENPE on anthropometrical and laboratory data. The statistical association analysis was done by the chi-squared test (a: 0.05) and agreement by the k index. RESULTS In the study performed in the previous phase, it is observed that the prevalence of hospital hyponutrition is 53.9%. One thousand six hundred and forty four patients received nutritional support, of which 66.9% suffered from hyponutrition. We also observed that hyponutrition is one of the factors favoring the increase in mortality (hyponourished patients 15.19% vs. non-hyponourished 2.58%), hospital stay (hyponourished patients 20.95 days vs. non-hyponourished 8.75 days), and re-admissions (hyponourished patients 14.30% vs. non-hyponourished 6%). The results from the experimental study are as follows: the prevalence of hyponutrition obtained by the gold standard was 61%, INFORNUT 60%. Agreement levels between INFORNUT, CONUT, and GASSULL are good or very good between them (k: 0.67 INFORNUT with CONUT, and k: 0.94 INFORNUT and GASSULL) and wit the gold standard (k: 0.83; k: 0.64 CONUT; k: 0.89 GASSULL). However, structured tests (SGA, MNA, NRS) show low agreement indexes with the gold standard and laboratory or mixed tests (Gassull), although they show a low to intermediate level of agreement when compared one to each other (k: 0.489 NRS with SGA). INFORNUT shows sensitivity of 92.3%, a positive predictive value of 94.1%, and specificity of 91.2%. After the filer phase, a preliminary report is sent, on which anthropometrical and intake data are added and a Nutritional Risk Report is done. CONCLUSIONS Hyponutrition prevalence in our study (60%) is similar to that found by other authors. Hyponutrition is associated to increased mortality, hospital stay, and re-admission rate. There are no tools that have proven to be effective to show early hyponutrition at the hospital setting without important applicability limitations. FILNUT, as the first phase of the filter process of INFORNUT represents a valid tool: it has sensitivity and specificity for nutritional screening at admission. The main advantages of the process would be early detection of patients with risk for hyponutrition, having a teaching and sensitization function to health care staff implicating them in nutritional assessment of their patients, and doing a hyponutrition diagnosis and nutritional support need in the discharge report that would be registered by the Clinical Documentation Department. Therefore, INFORNUT would be a universal screening method with a good cost-effectiveness ratio.
Resumo:
In their safety evaluations of bisphenol A (BPA), the U.S. Food and Drug Administration (FDA) and a counterpart in Europe, the European Food Safety Authority (EFSA), have given special prominence to two industry-funded studies that adhered to standards defined by Good Laboratory Practices (GLP). These same agencies have given much less weight in risk assessments to a large number of independently replicated non-GLP studies conducted with government funding by the leading experts in various fields of science from around the world. OBJECTIVES: We reviewed differences between industry-funded GLP studies of BPA conducted by commercial laboratories for regulatory purposes and non-GLP studies conducted in academic and government laboratories to identify hazards and molecular mechanisms mediating adverse effects. We examined the methods and results in the GLP studies that were pivotal in the draft decision of the U.S. FDA declaring BPA safe in relation to findings from studies that were competitive for U.S. National Institutes of Health (NIH) funding, peer-reviewed for publication in leading journals, subject to independent replication, but rejected by the U.S. FDA for regulatory purposes. DISCUSSION: Although the U.S. FDA and EFSA have deemed two industry-funded GLP studies of BPA to be superior to hundreds of studies funded by the U.S. NIH and NIH counterparts in other countries, the GLP studies on which the agencies based their decisions have serious conceptual and methodologic flaws. In addition, the U.S. FDA and EFSA have mistakenly assumed that GLP yields valid and reliable scientific findings (i.e., "good science"). Their rationale for favoring GLP studies over hundreds of publically funded studies ignores the central factor in determining the reliability and validity of scientific findings, namely, independent replication, and use of the most appropriate and sensitive state-of-the-art assays, neither of which is an expectation of industry-funded GLP research. CONCLUSIONS: Public health decisions should be based on studies using appropriate protocols with appropriate controls and the most sensitive assays, not GLP. Relevant NIH-funded research using state-of-the-art techniques should play a prominent role in safety evaluations of chemicals.
Resumo:
It has been estimated that more than 70% of all medical activity is directly related to information providing analytical data. Substantial technological advances have taken place recently, which have allowed a previously unimagined number of analytical samples to be processed while offering high quality results. Concurrently, yet more new diagnostic determinations have been introduced - all of which has led to a significant increase in the prescription of analytical parameters. This increased workload has placed great pressure on the laboratory with respect to health costs. The present manager of the Clinical Laboratory (CL) has had to examine cost control as well as rationing - meaning that the CL's focus has not been strictly metrological, as if it were purely a system producing results, but instead has had to concentrate on its efficiency and efficacy. By applying re-engineering criteria, an emphasis has had to be placed on improved organisation and operating practice within the CL, focussing on the current criteria of the Integrated Management Areas where the technical and human resources are brought together. This re-engineering has been based on the concepts of consolidating and integrating the analytical platforms, while differentiating the production areas (CORE Laboratory) from the information areas. With these present concepts in mind, automation and virological treatment, along with serology in general, follow the same criteria as the rest of the operating methodology in the Clinical Laboratory.