Background: Disseminated gonococcal infection (DGI) caused by commonly presents with the classic triad of polyarthritis, tenosynovitis, and dermatitis. There is no clinical and microbiological data of DGI in Thailand.
Objective: To study the clinical features, outcomes of treatments, and antimicrobial susceptibility data of DGI patients.
Methods: All medical records of DGI patients at King Chulalongkorn Memorial Hospital (KCMH) from January 2002 through September 2019 were reviewed and analyzed. The patients were defined as definite DGI (the clinical features and the evidence of gonococcal infection) and probable DGI (clinical features with response to treatment with third-generation cephalosporins and with no evidence of gonococcal infection).
Results: There were 41 patients (27 definite and 14 probable DGI), with a male-to-female ratio of 1:1.4 and median age of 30 years. The middle-age and elderly group accounted for 20% of the patients. The clinical features were fever (90.27%), arthritis (92.7%), tenosynovitis (63.4%), and genitourinary symptoms (29.3%). The most common pattern of joint involvement was oligoarthritis (52.6%). The majority of the patients had good clinical outcomes, while complications occurred in 4.8% of the patients including osteomyelitis and pyomyositis. All 19 antimicrobial-susceptibility results were susceptible to ceftriaxone.
Conclusions: During the past 2 decades in KCMH, the age of the DGI patients tends to be older, and there is no gender difference as in the historical studies. The clinical features are still similar to the previous studies. The majority of the patients had good clinical outcomes. There is no case of ceftriaxone-resistant .
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http://dx.doi.org/10.2478/abm-2024-0018 | DOI Listing |
Health Serv Insights
December 2024
Department of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
One of the main challenges in breast cancer management is health system literacy to provide optimal and timely diagnosis and treatments within complex and multidisciplinary health system environments. Digitalised patient navigation programs have been developed and found to be helpful in high- and low-resource settings, but gaps remain in finding cost-effective navigation in the public sector in Malaysia, where resources are scarce and unstable. Hence, we set out to develop a virtual patient navigation application for breast cancer patients to enhance knowledge about cancer diagnosis and treatments and provide a tracking mechanism to ensure quality care.
View Article and Find Full Text PDFDigit J Ophthalmol
September 2024
Advanced Eye Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
We report the case of a 60-year-old man diagnosed with unilateral, solitary, extramedullary plasmacytoma located in the right lacrimal sac fossa, with no systemic involvement. This rare plasma cell dyscrasia is usually found in the respiratory tract. Clinical and radiological features of the mass and histopathological results are described.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Background: For esophageal squamous cell carcinoma (ESCC), universally accepted pathological criteria for classification by differentiation degree are lacking. Tumor budding, single-cell invasion, and nuclear grade, recognized as prognostic factors in other carcinomas, have rarely been investigated for their correlation with differentiation and prognosis in ESCC. This study aims to determine if pathological findings can predict differentiation degree and prognosis in ESCC.
View Article and Find Full Text PDFFront Oncol
December 2024
Department of Radiology, Huadong Hospital, Fudan University, Shanghai, China.
Background: This study aimed to develop and validate a multiregional radiomic-based composite model to predict symptomatic radiation pneumonitis (SRP) in non-small cell lung cancer (NSCLC) patients treated with stereotactic body radiation therapy (SBRT).
Materials And Methods: 189 patients from two institutions were allocated into training, internal validation and external testing cohorts. The associations between the SRP and clinic-dosimetric factors were analyzed using univariate and multivariate regression.
Front Oncol
December 2024
Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Objective: To evaluate the efficacy of a machine learning model for predicting prostate-specific antigen (PSA) persistence after radical prostatectomy (RP).
Methods: Data from 470 patients who underwent RP at the Affiliated Hospital of Qingdao University from January 2018 to June 2021 were retrospectively analyzed. Ten risk factors, including age, body mass index (BMI), preoperative PSA, biopsy Gleason score, total prostate specific antigen density (PSAD), clinical tumor stage, clinical lymph node status, seminal vesicle invasion, capsular invasion and positive surgical margin, were included in the analysis.
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