SETTING: A tertiary medical centre in Kuala Lumpur, Malaysia.
PARTICIPANTS: A total of 219 patients (range 23-80 years) who had received phosphodiesterase type-5 (PDE-5) inhibitors as ED treatment were evaluated.
INCLUSION CRITERIA: Adult patients aged ≥18 years, diagnosed with ED, and prescribed with sildenafil, tadalafil or vardenafil.
EXCLUSION CRITERIA: Patients diagnosed with ED but who did not receive any PDE-5 inhibitor, or those with missing data.
PRIMARY AND SECONDARY OUTCOME MEASURES: Factors associated with demographic and clinical characteristics as well as drug selection were assessed.
RESULTS: Ischaemic heart disease (p=0.025), benign prostatic hyperplasia (p<0.001), obesity (p=0.005), lower urinary tract symptoms (LUTS) (p=0.006) and α-blockers (p<0.001) were significantly associated with elderly patients with ED. Additionally, LUTS (p=0.038) and α-blockers (p=0.008) were significantly associated with the selection of PDE-5 inhibitor.
CONCLUSIONS: These data showed that elderly patients with ED were significantly associated with comorbidities and α-blockers, whereas LUTS and α blockers were associated with drug selection.
CASE REPORT: In this literature work, we reported on a particular case of MCC, as exhibited by an 84-year-old Chinese woman, and discussed the clinical features and management of MCC.
DISCUSSION: We highlighted that MCC cases have a link to the polyomavirus 5. Patients who were identified with the Polyomavirus 5, and underwent immunotherapy, were seen to depict much better prognosis.
METHODS: Prospective case finding was performed from June to December 2009. Those who presented with signs and symptoms of CHIKV infection were investigated. We designed a case control study to assess the risk factors. Assessment consisted of answering questions, undergoing a medical examination, and being tested for the presence of IgM antibodies to CHIKV. Descriptive epidemiological studies were conducted by reviewing both the national surveillance and laboratory data. Multivariable logistic regression analysis was performed to determine risk factors contributing to the illness. Cases were determined by positive to RT-PCR or serological for antibodies by IgM. CHIKV specificity was confirmed by DNA sequencing.
RESULTS: There were 129 suspected cases and 176 controls. Among suspected cases, 54.4% were diagnosed to have CHIKV infection. Among the controls, 30.1% were found to be positive to serology for antibodies [IgM, 14.2% and IgG, 15.9%]. For analytic study and based on laboratory case definition, 95 were considered as cases and 123 as controls. Those who were positive to IgG were excluded. CHIKV infection affected all ages and mostly between 50-59 years old. Staying together in the same house with infected patients and working as rubber tappers were at a higher risk of infection. The usage of Mosquito coil insecticide had shown to be a significant protective factor. Most cases were treated as outpatient, only 7.5% needed hospitalization. The CHIKV infection was attributable to central/east African genotype CHIKV.
CONCLUSIONS: In this study, cross border activity was not a significant risk factor although Thailand and Malaysia shared the same CHIKV genotype during the episode of infections.
METHODS: The pre- and post-operative CT images of 55 patients undergoing DC surgery were analyzed. The ICV was measured by segmenting every slice of the CT images, and compared with estimated ICV calculated using the 1-in-10 sampling strategy and processed using the SBI method. An independent t test was conducted to compare the ICV measurements between the two different methods. The calculation using this method was repeated three times for reliability analysis using the intraclass correlations coefficient (ICC). The Bland-Altman plot was used to measure agreement between the methods for both pre- and post-operative ICV measurements.
RESULTS: The mean ICV (±SD) were 1341.1±122.1ml (manual) and 1344.11±122.6ml (SBI) for the preoperative CT data. The mean ICV (±SD) were 1396.4±132.4ml (manual) and 1400.53±132.1ml (SBI) for the post-operative CT data. No significant difference was found in ICV measurements using the manual and the SBI methods (p=.983 for pre-op, and p=.960 for post-op). The intrarater ICC showed a significant correlation; ICC=1.00. The Bland-Altman plot showed good agreement between the manual and the SBI method.
CONCLUSION: The shape-based interpolation method with 1-in-10 sampling strategy gave comparable results in estimating ICV compared to manual segmentation. Thus, this method could be used in clinical settings for rapid, reliable and repeatable ICV estimations.
METHODS: A total of 323 dyads of GI cancer patients and their caregivers completed the Medical Outcomes Study 12-item Short Form (MOS SF-12) questionnaire to measure their HRQOL during face-to-face interviews. The analyses were performed using SF-12 scoring software to compute PCS and MCS scores (HRQOL parameters). The independent t test, one-way ANOVA, and the Pearson correlation test were conducted to determine the demographic factors related to the HRQOL of the dyads.
RESULTS: The caregivers had higher scores in all domains for the SF-12 than the patients. There were significant differences found in the MCS scores of the patients according to ethnicity, origin of cancer, duration of cancer, and surgery. None of these factors had a significant relationship with the caregivers' HRQOL.
CONCLUSION: Caregivers had better HRQOL than cancer patients. Early intervention for cancer patients in the form of counselling and personalised pain management may enhance the HRQOL of patients.