RESUMO
PURPOSE: With the aging population in Japan, the prediction of ambulance transports is needed to save the limited medical resources. Some meteorological factors were risks of ambulance transports, but it is difficult to predict in a classically statistical way because Japan has 4 seasons. We tried to make prediction models for ambulance transports using the deep learning (DL) framework, Prediction One (Sony Network Communications Inc., Tokyo, Japan), with the meteorological and calendarial variables. MATERIALS AND METHODS: We retrospectively investigated the daily ambulance transports and meteorological data between 2017 and 2019. First, to confirm their association, we performed classically statistical analysis. Second, to test the DL framework's utility for ambulance transports prediction, we made 3 prediction models for daily ambulance transports (total daily ambulance transports more than 5 or not, cardiopulmonary arrest (CPA), and trauma) using meteorological and calendarial factors and evaluated their accuracies by internal cross-validation. RESULTS: During the 1095 days of 3 years, the total ambulance transports were 5948, including 240 CPAs and 337 traumas. Cardiogenic CPA accounted for 72.3%, according to the Utstein classification. The relation between ambulance transports and meteorological parameters by polynomial curves were statistically obtained, but their r2s were small. On the other hand, all DL-based prediction models obtained satisfactory accuracies in the internal cross-validation. The areas under the curves obtained from each model were all over 0.947. CONCLUSION: We could statistically make polynomial curves between the meteorological variables and the number of ambulance transport. We also preliminarily made DL-based prediction models. The DL-based prediction for daily ambulance transports would be used in the future, leading to solving the lack of medical resources in Japan.
RESUMO
We report our experience of two cases of refractory cellulitis caused by peripheral micro-arteriovenous fistulas (AVFs) in the lower extremity. The micro-AVFs were so small that they could not be located accurately; further, the patients' symptoms differed markedly from those previously reported for AVF. AVF is known to cause ischemic symptoms. In contrast, micro-AVF causes congestive symptoms and remains undetected in the majority of patients. Identification of this pathology is crucial to enable effective treatment by the ligation of the incompetent perforator vein that increases venous hypertension, leading to congestive symptoms.
RESUMO
We report a rare case of lymphangitis carcinomatosa in a 66-year-old man with a relatively long survival of 18 months following chemotherapy.The patient initially presented with dyspnea and lower abdominal pain.Subsequent colonoscopy detected adenocarcinoma of the descending colon, and computed tomography (CT) demonstrated indications of lymphangitis carcinomatosa of the lung.Therefore, the patient was diagnosed with pulmonary metastasis due to colon cancer and administered chemotherapy.The performance status (PS) of patients with lymphangitis carcinomatosa is usually dismal.This patient's PS was also poor, but dyspnea markedly improved following chemotherapy, and a subsequent CT revealed disappearance of radiological findings of lymphangitis carcinomatosa.However, subsequent immunocytochemistry analysis using the cell transfer method in bronchoalveolar lavage fluid specimens revealed diffuse positivity for cytokeratin (CK) 7, while the colon carcinoma was negative for CK7.The difference in CK7 immunoreactivity between the bronchoalveolar lavage fluid and biopsy specimen of the colon indicated that the lymphangitis carcinomatosa in this patient could be reasonably postulated to be caused by a synchronous primary pulmonary adenocarcinoma with intestinal differentiation.However, an autopsy could not be performed to test this hypothesis.
