著者

Yasuharu Tokuda Kyouko Maezato Gerald H. Stein

出版者

The Japanese Society of Internal Medicine

雑誌

Internal Medicine (ISSN:09182918)

巻号頁・発行日

vol.46, no.1, pp.23-28, 2007 (Released:2007-01-01)

参考文献数

42

被引用文献数

6 10

---

Objective: Our objective was to determine the causes and relative prevalence of hypercalcemia in patients at a major community hospital in Okinawa, Japan. Additionally, we compared these causes of hypercalcemia with the previously published international data. Materials and Methods: We analyzed all patients with hypercalcemia in a community teaching hospital in Okinawa, Japan, from 1999 to 2002 and determined the cause of hypercalcemia in each patient. We also performed a literature review of the original articles describing causes of hypercalcemia in patients from Eastern as well as Western countries. Results: We identified 145 patients with hypercalcemia (median age, 69; range, 22 to 97). Major causes included malignant disorders (n=100; 69%), primary hyperparathyroidism (n=31; 21%), vitamin D-induced (n=4; 3%), and miscellaneous or unknown cause in 11 (8%). Among malignant disorders, adult T cell leukemia was the most frequent (n=35), being followed by lung cancer (n=25). Breast carcinoma was less prevalent (n=4). Conclusion: The major causes of hypercalcemia are malignancy and primary hyperparathyroidism in Okinawan Japanese patients. Adult T cell leukemia and lung carcinoma are among the top leading malignancies, while breast carcinoma is less frequent in this patient population. The etiologic prevalence of hypercalcemia in the Eastern population including Okinawans is significantly different from that in the Western population.

著者

Yasuharu Tokuda Masahiro Koizumi Gerald H. Stein Richard B. Birrer

出版者

The Japanese Society of Internal Medicine

雑誌

Internal Medicine (ISSN:09182918)

巻号頁・発行日

vol.48, no.7, pp.537-543, 2009 (Released:2009-04-01)

参考文献数

33

被引用文献数

6 10

---

Objective To derive and validate a clinical prediction model with high sensitivity for differentiating aseptic meningitis (AM) patients from bacterial meningitis (BM) patients. Methods We developed the model using the derivation cohort in a community rural hospital in Okinawa and assessed its performance using the validation cohort in a metropolitan urban hospital in Tokyo. There were 66 (39.5%) and 5 (17.9%) adult patients with BM among the derivation (n=167) and the validation cohort (n=28), respectively. Recursive partitioning analysis was used to determine the important classification variables and to develop a sensitive model to safely exclude BM. Results The model produced high- and low-risk groups based on the following: 1) Gram stain, 2) CSF neutrophil percent ≤15%, 3) CSF neutrophil count ≤150 cells/mm3, and, 4) mental status change. Among the derivation cohort, there were 65 patients with BM in the high-risk group (n=76), while only one patient with BM was noted (sensitivity, 99%) in the low-risk group (n=91). Among the validation cohort, there were 5 patients with BM in the high-risk group (n=7), while no patient was classified with BM (sensitivity, 100%) in the low-risk group (n=21). Conclusion This simple and sensitive model might be useful to safely identify low-risk patients for BM who would not require antibiotic treatment.