Cuando comer se convierte en un problema

Diabetic gastroparesis is a complication characterized by the slowing of gastric emptying without mechanical obstruction that affects the morbidity and quality of life of patients. Between 5 and 12% of patients present symptoms suggestive of gastroparesis that are maintained over time. The pathogenic mechanisms are not yet clear but they involve nerve alterations at the level of enteric cells, interstitial cells of Cajal and the vagus nerve. Management must be multidisciplinary, including nutritional status, symptom control and the implementation of glycemic control and gastric emptying with new therapies such as electrostimulation.La  gastroparesia diabética es una complicación caracterizada por el enlentecimiento del vaciamiento gástrico sin obstrucción mecánica que afecta a la morbilidad y calidad de vida de los pacientes. Entre el 5-12% de los pacientes presentan síntomas sugestivos de gastroparesia que se mantienen en el tiempo. Los mecanismos patogénicos aún no están claros pero implican alteraciones nerviosas a nivel de células entéricas, células intersticiales de Cajal y el nervio vago. El manejo debe ser multidisciplinar, incluyendo el estado nutricional, el control de síntomas y la implementación del control glucémico y vaciado gástrico con nuevas terapias como la electroestimulación

Lo que la diabetes esconde

Diabetes mellitus (DM) has been associated with various tumor processes. There are several risk factors for pancreatic cancer and it is estimated that 1% of those over 50 years of age, with a recent diagnosis of DM, will develop a pancreatic neoplasm that is usually advanced. Early diagnosis remains key in the prognosis and it may be cost-effective to perform an abdominal CT scan of early screening in adults newly diagnosed with DM. We present the case of a man with a recent diagnosis of DM and a finding of adenocarcinoma of the pancreas with a narrow temporal presentation between both entities.La diabetes mellitus (DM) se ha asociado a diferentes procesos tumorales. Existen diversos factores de riesgo de cáncer de páncreas y se estima que el 1% de los mayores de 50 años con diagnóstico reciente de DM desarrollará una neoplasia pancreática que habitualmente se encuentra en estadio avanzado. El diagnóstico precoz sigue siendo clave en el pronóstico y puede ser rentable la realización de TAC abdominal de cribado temprano en adultos recién diagnosticados de DM. Presentamos el caso de un varón con diagnóstico reciente de DM y hallazgo de adenocarcinoma de páncreas con una estrecha presentación temporal entre ambas entidades

Risk categories in COVID-19 based on degrees of inflammation: data on more than 17,000 patients from the Spanish SEMI-COVID-19 registry

Background: the inflammation or cytokine storm that accompanies COVID-19 marks the prognosis. This study aimed to identify three risk categories based on inflammatory parameters on admission. Methods: retrospective cohort study of patients diagnosed with COVID-19, collected and followed-up from 1 March to 31 July 2020, from the nationwide Spanish SEMI-COVID-19 Registry. The three categories of low, intermediate, and high risk were determined by taking into consideration the terciles of the total lymphocyte count and the values of C-reactive protein, lactate dehydrogenase, ferritin, and D-dimer taken at the time of admission. Results: a total of 17,122 patients were included in the study. The high-risk group was older (57.9 vs. 64.2 vs. 70.4 years; p < 0.001) and predominantly male (37.5% vs. 46.9% vs. 60.1%; p < 0.001). They had a higher degree of dependence in daily tasks prior to admission (moderate-severe dependency in 10.8% vs. 14.1% vs. 17%; p < 0.001), arterial hypertension (36.9% vs. 45.2% vs. 52.8%; p < 0.001), dyslipidemia (28.4% vs. 37% vs. 40.6%; p < 0.001), diabetes mellitus (11.9% vs. 17.1% vs. 20.5%; p < 0.001), ischemic heart disease (3.7% vs. 6.5% vs. 8.4%; p < 0.001), heart failure (3.4% vs. 5.2% vs. 7.6%; p < 0.001), liver disease (1.1% vs. 3% vs. 3.9%; p = 0.002), chronic renal failure (2.3% vs. 3.6% vs. 6.7%; p < 0.001), cancer (6.5% vs. 7.2% vs. 11.1%; p < 0.001), and chronic obstructive pulmonary disease (5.7% vs. 5.4% vs. 7.1%; p < 0.001). They presented more frequently with fever, dyspnea, and vomiting. These patients more frequently required high flow nasal cannula (3.1% vs. 4.4% vs. 9.7%; p < 0.001), non-invasive mechanical ventilation (0.9% vs. 3% vs. 6.3%; p < 0.001), invasive mechanical ventilation (0.6% vs. 2.7% vs. 8.7%; p < 0.001), and ICU admission (0.9% vs. 3.6% vs. 10.6%; p < 0.001), and had a higher percentage of in-hospital mortality (2.3% vs. 6.2% vs. 23.9%; p < 0.001). The three risk categories proved to be an independent risk factor in multivariate analyses. Conclusion: the present study identifies three risk categories for the requirement of high flow nasal cannula, mechanical ventilation, ICU admission, and in-hospital mortality based on lymphopenia and inflammatory parameters

Influencia de la historia de tabaquismo en la evolución de la hospitalización en pacientes COVID-19 positivos: datos del registro SEMI-COVID-19.

Smoking can play a key role in SARS-CoV-2 infection and in the course of the disease. Previous studies have conflicting or inconclusive results on the prevalence of smoking and the severity of the coronavirus disease (COVID-19). Observational, multicenter, retrospective cohort study of 14,260 patients admitted for COVID-19 in Spanish hospitals between February and September 2020. Their clinical characteristics were recorded and the patients were classified into a smoking group (active or former smokers) or a non-smoking group (never smokers). The patients were followed up to one month after discharge. Differences between groups were analyzed. A multivariate logistic regression and Kapplan Meier curves analyzed the relationship between smoking and in-hospital mortality. The median age was 68.6 (55.8-79.1) years, with 57.7% of males. Smoking patients were older (69.9 [59.6-78.0 years]), more frequently male (80.3%) and with higher Charlson index (4 [2-6]) than non-smoking patients. Smoking patients presented a worse evolution, with a higher rate of admission to the intensive care unit (ICU) (10.4 vs 8.1%), higher in-hospital mortality (22.5 vs. 16.4%) and readmission at one month (5.8 vs. 4.0%) than in non-smoking patients. After multivariate analysis, smoking remained associated with these events. Active or past smoking is an independent predictor of poor prognosis in patients with COVID-19. It is associated with higher ICU admissions and in-hospital mortality