A novel differential diagnosis algorithm for chronic lymphocytic leukemia using immunophenotyping with flow cytometry

Abstract Introduction The availability of a clinical decision algorithm for diagnosis of chronic lymphocytic leukemia (CLL) may greatly contribute to the diagnosis of CLL, particularly in cases with ambiguous immunophenotypes. Herein we propose a novel differential diagnosis algorithm for the CLL diagnosis using immunophenotyping with flow cytometry. Methods The hierarchical logistic regression model (Backward LR) was used to build a predictive algorithm for the diagnosis of CLL, differentiated from other lymphoproliferative disorders (LPDs). Results A total of 302 patients, of whom 220 (72.8%) had CLL and 82 (27.2%), B-cell lymphoproliferative disorders other than CLL, were included in the study. The Backward LR model comprised the variables CD5, CD43, CD81, ROR1, CD23, CD79b, FMC7, sIg and CD200 in the model development process. The weak expression of CD81 and increased intensity of expression in markers CD5, CD23 and CD200 increased the probability of CLL diagnosis, (p < 0.05). The odd ratio for CD5, C23, CD200 and CD81 was 1.088 (1.050 - 1.126), 1.044 (1.012 - 1.077), 1.039 (1.007 - 1.072) and 0.946 (0.921 - 0.970) [95% C.I.], respectively. Our model provided a novel diagnostic algorithm with 95.27% of sensitivity and 91.46% of specificity. The model prediction for 97.3% (214) of 220 patients diagnosed with CLL, was CLL and for 91.5% (75) of 82 patients diagnosed with an LPD other than CLL, was others. The cases were correctly classified as CLL and others with a 95.7% correctness rate. Conclusions Our model highlighting 4 markers (CD81, CD5, CD23 and CD200) provided high sensitivity and specificity in the CLL diagnosis and in distinguishing of CLL among other LPDs.

Exposição às radiações eletromagnéticas não ionizantes decorrentes da telefonia celular e efeitos à saúde / Exposure to non-ionizing electromagnetic radiation resulting from cellular and health effects

O crescimento da Telefonia Celular (TC) e, portanto, do número de Estações Radiobase (ERB), que estabelecem a comunicação com os aparelhos celulares, ampliou a aplicabilidade de serviços decorrentes desta tecnologia sem fio. Embora apresente benefícios para o estilo atual de vida, a TC tem gerado preocupações sobre os possíveis efeitos adversos à saúde das populações expostas às radiações eletromagnéticas não ionizantes (RENI). Estão inclusos nesta tese o conjunto de três artigos com o objetivo geral de investigar a associação entre exposição a radiações eletromagnéticas não ionizantes decorrentes das ERB/TC e efeitos à saúde. Em estudo de corte transversal, foram aplicados 440 questionários por meio de entrevistas domiciliares em dois bairros na cidade de Salvador/BA...

The growth of mobile phone and therefore the number of base station, which establish communication with mobile devices, has extended the applicability of services under this wireless technology. Although it has benefits for the current lifestyle, mobile phone has generated concerns about possible adverse health effects of exposure to non-ionizing electromagnetic radiation populations. The set of three articles are included in this thesis with the overall objective to investigate the association between exposure to non-ionizing electromagnetic radiation arising from base station of the mobile phone and health symptoms. In cross-sectional study, 440 questionnaires were applied by means of interviews in two neighborhoods in Salvador/BA...

Association Between Prophylactic Antibiotic Use and Surgical Site Infection Based on Quality Assessment Data in Korea / 예방의학회지

OBJECTIVES: To examine the prophylactic antibiotic use in reducing surgical site infection. METHODS: This was a retrospective study for patients aged 18 years and older who underwent gastrectomy, cholecystectomy, colectomy, cesarean section and hysterectomy. The data source was quality assessment data of the Health Insurance Review & Assessment Service gathered from medical records of 302 national hospitals. Prophylactic antibiotic use was defined as: timely antibiotic administration or inappropriate antibiotic selection. We performed hierarchical logistic regression to examine the association between prophylactic antibiotic use and surgical site infection with adjustment for covariates. RESULTS: The study population consisted of 16 348 patients (1588 gastrectomies, 2327 cholecystectomies, 1,384 colectomies, 3977 hysterectomies and 7072 cesarean sections) and surgical site infection was identified in 351 (2.1%) patients. The rates of timely antibiotic administration and inappropriate antibiotic selection varied according to procedures. Cholecystectomy patients who received timely prophylactic antibiotic had a significantly reduced risk of surgical site infection compared with those who did not receive a timely prophylactic antibiotics (OR 0.64, 95% CI=0.50-0.83), but no significant reduction was observed for other procedures. When inappropriate prophylactic antibiotics were given, the risk of surgical site infection significantly increased: 8.26-fold (95% CI=4.34-15.7) for gastrectomy, 4.73-fold (95% CI=2.09-10.7) for colectomy, 2.34-fold (95% CI=1.14-4.80) for cesarean section, 4.03-fold (95% CI=1.93-8.42) for hysterectomy. CONCLUSIONS: This study examines the association among timely antibiotic administration, inappropriate antibiotic selection and surgical site infection. Patients who received timely and appropriate antibiotics had a decreased risk of surgical site infection. Efforts to improve the timing of antibiotic administration and use of appropriate antibiotic are needed to lower the risk of surgical site infection.

Factors Influencing Utilization of Medical Care Among Osteoarthritis Patients in Korea: Using 2005 Korean National Health and Nutrition Survey Data / 예방의학회지

OBJECTIVES: The purpose of this study was to define the association between the medical utilization of osteoarthritis patient and its related factors. METHODS: We used the 2005 Korean National Health and Nutrition Survey data and we enrolled 2833 participants who were forty or older and who were diagnosed as having osteoarthritis by a doctor within 1 year and who had suffered from osteoarthritis for more than 3 months. The Andersen behavioral model was used as the analytic framework, and the variables were categorized into predisposing, enabling, and need factors. To determine the influence of each variable on the medical utilization of osteoarthritis patient, we applied hierarchical logistic regression analysis with two stages: the first stage included the predisposing and enabling factors and the second stage included the need factors. RESULTS: On the hierarchical logistic analysis, the variables of personal income, the type of medical security, the duration of arthritis related symptoms within 1 month, the subjective health status and the duration of osteoarthritis showed a statistically significant difference between whether the medical utilization in men patients. And the variables of age, limitation activity due to osteoarthritis, arthritis related symptoms within 1 month, and the subjective health status had a statistically significant difference between whether the medical utilization in women patients. CONCLUSIONS: The patients who tend to receive less care are those suffer less from symptoms of osteoarthritis, those who are within the initial phase, or those with a low-level severity of osteoarthritis. It is necessary to encourage patients to receive the treatment in the initial phase.