Evaluation of plasma cortisol during fasting test in patients with endogenous hyperinsulinemic hypoglycemia. Fifteen years experience.

BACKGROUND: Endogenous hyperinsulinemic hypoglycemia (EHH) is a rare clinical condition. The aim of this study was to evaluate baseline plasma cortisol concentration and its concentration during hypoglycemic crisis in fasting tests (FT) performed in our center. Secondarily, the aim was to establish the relationship between baseline cortisol and the time of evolution of EHH. MATERIAL AND METHODS: A retrospective, observational, descriptive study was carried out which included patients with hypoglycemic disorder with positive FT. RESULTS: Of a total of 21 patients, 16 presented insulinoma, 1 nesidioblastosis, 2 malignant insulinoma and 2 EHH without pathological diagnosis. The time from the onset of symptoms to diagnosis was 2 years (Q1=1.5-Q2=5.5). The comparison between median baseline cortisol (BC)=11.8 mcg/dl (nmol/L 340.68) (Q1=9-Q3=14.1) and median cortisol during hypoglycemic episode (HC)=11.6 mcg/dl (nmol/L: 303.44) (Q1=7.8-Q3=16.1) showed no differences (Z=-0.08; P>.05). When correlating BC with HC, no significant relationship was observed (r=0.16; P>.05). When correlating the glycemic value in the crisis and the HC, a slight negative trend was found (r=-0.53; P=.01). In addition, we found that recurrent hypoglycemic disorder is associated with lower baseline cortisol values ​​the longer the time of its evolution. CONCLUSION: We confirmed that cortisol values ​​remain low during hypoglycemic episodes, reinforcing the hypothesis of lack of response of this counterregulatory hormone in cases of recurrent hypoglycemia.

Clasificación de las causas que determinan estadía inadecuada útil para la gestión hospitalaria / Usefulness of the classification of causes of inappropriate lengths of stay for the hospital management

Introducción: la búsqueda de eficiencia en la gestión hospitalaria motiva el empleo de indicadores de gestión que detecten y evalúen la presencia de estancias hospitalarias inadecuadas. Objetivo: diseñar una clasificación de las causas que determinan una estadía hospitalaria inadecuada adaptada al contexto del sistema de salud argentino. Métodos: se revisaron 25 artículos publicados entre los años 1990 y 2009 en revistas argentinas y de otras nacionalidades, en idioma inglés y español. Para la exploración se incluyeron buscadores genéricos de Internet y las bases de datos bibliográficos: Medline, Cochrane y Lilacs. Las palabras clave empleadas fueron: inappropriateness, inappropriate hospital days, the appropriateness evaluation protocol, factors associated with inappropriate hospitalization days, uso inadecuado de la hospitalización, lenght of stay. Sintesis de los datos: es necesario distinguir entre ingresos y estadías inadecuadas. Las causas de estas últimas, según la clasificación diseñada, pueden deberse a la responsabilidad de: 1. La planificación y gestión hospitalaria. 2. El médico. 3. La familia del paciente. 4. El sistema de salud. Conclusiones: el diseño de esta clasificación es una herramienta útil para la implementación de indicadores de gestión hospitalaria que involucren los días de estadía.

Introduction: the search for the hospital management efficiency encourages the use of management indicators that detect and assess inappropriate lengths of hospital stay. Objective: to design a classification of the causes that determine inappropriate lengths of hospital stay, adjusted for the Argentinean health system setting. Methods: twenty five articles, both in English and Spanish, published from 1990 to 2009 in Argentinean journals and in those of other nations, were reviewed. For this search, the generic Internet's searchers and the main databases such as Medline, Cochrane, Lilacs, and others were consulted. The key words were inappropriateness, inappropriate hospital stays, the appropriateness evaluation protocol, factors associated with inappropriate hospitalization days, uso inadecuado de la hospitalización, length of stay. Results: it is necessary to differentiate incomes from inappropriate lengths of stay. The designed classification included the following causes: 1. Difficulties in hospital planning and management, 2. The physician's responsibility, 3.The responsibility of the patient's family, 4. The responsibility of the health care system. Conclusions: the design of this classification is a useful tool to implement hospital management indicators involving the length of hospital stay.