2.Advanced Erosive Gout as a Cause of Fever of Unknown Origin.
Mikiro KATO ; Yuta OISHI ; Makoto INADA ; Yasuharu TOKUDA
Korean Journal of Family Medicine 2015;36(3):146-149
A 61-year-old man was referred to our hospital due to a 3-month history of fever of unknown origin, and with right knee and ankle joint pains. At another hospital, extensive investigations had produced negative results, including multiple sterile cultures of blood and joint fluids, and negative autoantibodies. His serum uric acid level was not elevated. However, after admission to our hospital, we performed right knee arthrocentesis, which revealed uric acid crystals. These findings, combined with the results of imaging tests, which showed joint degeneration, led to a diagnosis of advanced erosive gout. After receiving a therapeutic non-steroidal anti-inflammatory drug and a maintenance dose of colchicine for prophylaxis against recurrence, the patient's symptoms subsided and did not return. Advanced erosive gout should be considered a possible cause of fever of unknown origin and diagnostic arthrocentesis should be performed in patients with unexplained arthritis.
Ankle Joint
;
Arthritis
;
Autoantibodies
;
Colchicine
;
Diagnosis
;
Fever of Unknown Origin*
;
Gout*
;
Humans
;
Joints
;
Knee
;
Middle Aged
;
Recurrence
;
Uric Acid
3.Effect of Climate on COVID-19 Incidence: A Cross-Sectional Study in Japan
Mikiro KATO ; Tomoko SAKIHAMA ; Yoshio KINJO ; David ITOKAZU ; Yasuharu TOKUDA
Korean Journal of Family Medicine 2022;43(1):37-41
Background:
Effect of meteorological factors such as air temperature, humidity, and sunlight exposure on transmission dynamics of novel coronavirus disease 2019 (COVID-19) remains controversial. We investigated the association of these factors on COVID-19 incidence in Japan.
Methods:
We analyzed data on reverse transcription polymerase chain reaction confirmed COVID-19 cases for each prefecture (total=47) in Japan and incidence rate was defined as the number of all reported cumulative cases from January 15 to March 17, 2020. Independent variables of each prefecture included three climatic variables (mean values of air temperature, relative humidity, and sunlight exposure), population elderly ratio, and the number of inbound travelers from China during February 2020. Multivariable-adjusted Poisson regression model was constructed to estimate COVID-19 incidence rate ratio (IRR) of independent variables.
Results:
There was a total of 702 cases during the study period in Japan (population=125, 900,000). Mean±standard deviation values of meteorological variables were 7.12°C±2.91°C for air temperature, 67.49%±7.63% for relative humidity, and 46.77±12.55% for sunlight exposure. Poisson regression model adjusted for climate variables showed significant association between the incidence and three climatic variables: IRR for air temperature 0.854 (95% confidence interval [CI], 0.804–0.907; P<0.0001), relative humidity 0.904 (95% CI, 0.864–0.945; P<0.0001), and sunlight exposure 0.973 (95% CI, 0.951–0.997; P=0.026).
Conclusion
Higher values of air temperature, relative humidity and sunlight exposure were associated with lower incidence of COVID-19. Public health interventions against COVID-19 epidemic in a country should be developed by considering these meteorological factors.