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1.
Sanid. mil ; 79(1)ene.-mar. 2023. ilus
Article in Spanish | IBECS | ID: ibc-225646

ABSTRACT

Presentamos un caso de diarrea crónica en un paciente varón de 58 años que no tenía antecedentes personales de interés ni alteraciones conocidas en su estado inmunitario. (AU)


We present a case of chronic diarrhea in a 58-year-old male patient with no relevant personal history and no known alterations in his immune status. (AU)


Subject(s)
Humans , Male , Middle Aged , Diarrhea/immunology , Diarrhea/pathology , Strongyloides stercoralis , Gastritis/diagnosis , Metaplasia/diagnosis
2.
Sanid. mil ; 78(3): 180-181, septiembre 2022. ilus
Article in English | IBECS | ID: ibc-214639

ABSTRACT

Placenta accreta spectrum is a state of abnormal attachment of the placenta to the myometrium, resulting in hemorrhage and delayed or impossible delivery of the placenta. It`s an infrequent pathology, and this condition can be life-threatening. We present an interesting case of a 41-year-old female with COVID-19 that attends the emergency room due to scanty vaginal bleeding at 14 days postpartum. A hemostatic hysterectomy was performed, and the diagnosis of placenta accreta was made. (AU)


Subject(s)
Humans , Male , Middle Aged , Obstetrics , Placenta Accreta , Hysterectomy , Severe acute respiratory syndrome-related coronavirus , Coronavirus Infections/epidemiology , Pandemics
3.
Sanid. mil ; 76(2): 64-70, abr.-jun. 2020. graf, tab
Article in Spanish | IBECS | ID: ibc-197385

ABSTRACT

INTRODUCCIÓN: En diciembre de 2019, Wuhan, China, tuvo un brote de la enfermedad COVID-19, causado por el síndrome respiratorio agudo severo coronavirus 2 (SARS-CoV-2). La enfermedad en poco tiempo se convirtió en pandemia. Los factores de riesgo asociados a su mortalidad están aún por determinar. El Comité de Mortalidad estudia los fallecimientos hospitalarios con el objetivo principal de reducir las muertes evitables. OBJETIVOS: Describir las características de comorbilidad y demográficas de los exitus del primer cuatrimestre de 2020 en el Hospital Central de la Defensa y su relación con COVID-19. MATERIAL Y MÉTODOS: Estudio transversal, descriptivo, observacional y retrospectivo. Datos clínicos y demográficos de los exitus en relación a la presencia de COVID-19. RESULTADOS: De 371 fallecidos, 271 COVID-19 positivos y 100 COVID-19 negativos. Casi 1,8 veces más de la mortalidad esperada en el cuatrimestre (208 a 371). Edad media de los grupos 80 y 84 años, rango entre 35 y 104 años. Estancia hospitalaria en COVID-19 positivos del 10,1% frente a 5,5% en COVID-19 negativos. Exitus extranjeros menor de 70 años 80%. Lugar del exitus: planta hospitalaria (84%). Puntuación media del índice de Charlson: 4 puntos (intercuartil, 2-6), 53% supervivencia estimada a 10 años. Comorbilidades más frecuentes: HTA (70,5%); DM (36,5%); Oncológico (31%); Neumonía (86,7%). Mal estado general al ingreso (81,9%). CONCLUSIONES: La variable con mayor potencia relacionada con la mortalidad fue la edad avanzada. Otro grupo, sin comorbilidades, menor de 51 años, presentó evolución fatal. A pesar de la dificultad para establecer la tasa de mortalidad real por COVID-19, la diferencia entre los exitus esperados y los registrados por el Comité de Mortalidad Hospitalario constituye el valor más aproximado


INTRODUCTION: In December 2019, Wuhan, China had an outbreak of the COVID-19 disease, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease quickly turned into a pandemic. The risk factors associated with its mortality are yet to be determined. The Mortality Committee studies hospital deaths with the main objective of reducing preventable deaths. OBJECTIVES: To describe the comorbidity and demographic characteristics of the deaths from the first four-month period of 2020 at the Central Defense Hospital and their relationship with COVID-19. MATERIAL AND METHODS: Cross-sectional, descriptive, observational and retrospective study. Clinical and demographic data of deaths in relation to the presence of COVID-19. RESULTS: Of 371 deceased, 271 positive COVID-19 and 100 negative COVID-19-. Almost 1.8 times more than the expected mortality in the four-month period (208 to 371). Average age of the groups 80 and 84 years, range between 35 and 104 years. Hospital stay at positive COVID-19 10.1% compared to 5.5% at negative COVID-19. Foreign exitus under 70 years 80%. Exit location: hospital plant (84%). Average Charlson index score: 4 points (interquartile, 2-6), 53% estimated survival at 10 years. Most frequent comorbidities: HTN (70.5%); DM (36.5%); Oncological (31%); Pneumonia (86.7%). Poor general condition at admission (81.9%). CONCLUSIONS: The variable with the greatest power related to mortality was advanced age. Another group, without comorbidities, younger than 51 years, presented fatal evolution. Despite the difficulty in establishing the actual mortality rate from COVID-19, the difference between the expected deaths and those recorded by the Hospital Mortality Committee constitutes the most approximate value


Subject(s)
Humans , Male , Female , Middle Aged , Aged , Aged, 80 and over , Indicators of Morbidity and Mortality , Comorbidity , Hospitals, Military/statistics & numerical data , Coronavirus Infections/mortality , Pneumonia, Viral/mortality , Pharmacy and Therapeutics Committee/standards , Ethics Committees, Research , Pandemics , Cross-Sectional Studies , Retrospective Studies , Betacoronavirus , Epidemiology, Descriptive , Length of Stay/statistics & numerical data
5.
Clin. transl. oncol. (Print) ; 18(5): 537-540, mayo 2016. tab, ilus
Article in English | IBECS | ID: ibc-151189

ABSTRACT

Purpose: To evaluate the features of bone marrow (BM) biopsy involvement by lymphoma, pattern of infiltration, morphological analysis and flow cytometry were reviewed at all lymphoma patients over a period of 10 years. Methods/patients: 413 cases were included in the study if BM biopsy slides were available. Only 356 patients had both BM trephine biopsy and flow cytometry. Results: The most frequent subtype was diffuse large B cell (31.2 %), followed by follicular lymphoma (18.9 %). The predominant pattern was mixed (nodular-interstitial) (9.2 %). Morphological marrow infiltration was found in 138 cases, and flow cytometry identified 117 cases with BM involvement. A concordance between the two methods was detected in 305 cases (85.7 %). There was discordance in 51 cases (14.3 %): morphology positive/FC negative in 33 cases and morphology negative/FC positive in 18. Conclusions: Flow cytometry is slightly more useful in detecting involvement when the BM is affected, but this finding is not conclusive (AU)


No disponible


Subject(s)
Humans , Male , Female , Bone Marrow , Bone Marrow/pathology , Bone Marrow/radiation effects , Biopsy/methods , Flow Cytometry , Flow Cytometry/methods , Flow Cytometry/standards , Flow Cytometry/trends
6.
Clin Transl Oncol ; 18(5): 537-40, 2016 May.
Article in English | MEDLINE | ID: mdl-26311078

ABSTRACT

PURPOSE: To evaluate the features of bone marrow (BM) biopsy involvement by lymphoma, pattern of infiltration, morphological analysis and flow cytometry were reviewed at all lymphoma patients over a period of 10 years. METHODS/PATIENTS: 413 cases were included in the study if BM biopsy slides were available. Only 356 patients had both BM trephine biopsy and flow cytometry. RESULTS: The most frequent subtype was diffuse large B cell (31.2%), followed by follicular lymphoma (18.9%). The predominant pattern was mixed (nodular-interstitial) (9.2%). Morphological marrow infiltration was found in 138 cases, and flow cytometry identified 117 cases with BM involvement. A concordance between the two methods was detected in 305 cases (85.7%). There was discordance in 51 cases (14.3%): morphology positive/FC negative in 33 cases and morphology negative/FC positive in 18. CONCLUSIONS: Flow cytometry is slightly more useful in detecting involvement when the BM is affected, but this finding is not conclusive.


Subject(s)
Bone Marrow/pathology , Flow Cytometry/methods , Lymphoma, B-Cell/diagnosis , Lymphoma, Follicular/diagnosis , Lymphoma, Large B-Cell, Diffuse/diagnosis , Lymphoma, Non-Hodgkin/diagnosis , Adolescent , Adult , Aged , Aged, 80 and over , Biopsy , Female , Follow-Up Studies , Humans , Male , Middle Aged , Neoplasm Staging , Prognosis , Retrospective Studies , Young Adult
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