Objectives: This study aimed to evaluate the patterns of intraperitoneal (IP) antibiotic utilization for the treatment of peritonitis in CAPD patients.
Materials and Methods: This is a retrospective study conducted at a tertiary hospital setting in Malaysia. Medical records of CAPD patients who were diagnosed with peritonitis and registered with National Kidney Registry from 2013 to 2018 were reviewed. Types of antibiotics used and its dose and duration were recorded and reported using the anatomical therapeutic chemical/defined daily dose (ATC/DDD) system.
Results: A total of 105 peritonitis episodes were recorded from 72 patients. The most common first-line empirical antibiotic combinations used were ceftazidime/cefazolin (40%, n = 42), followed by cefepime/cefazolin (30.5%, n = 32) and ceftazidime/cloxacillin (25.7%, n = 27). The definitive therapy for culture-proven CAPD-related peritonitis (CAPD-P) showed that vancomycin was the most frequently prescribed antibiotic (31.7%, n = 26/82), followed by amikacin (14.6%, n = 12/82), meropenem (11%, n = 9/82) and ampicillin (11%, n = 9/82). Ciprofloxacin was among the least prescribed definitive antibiotics for CAPD-P (2.4%, n = 2/82) but the DDD/100 patient-days estimates showed that it had the highest therapeutic intensity.
Conclusion: There are various IP antibiotics used for CAPD-P and the most common empirical therapy was the combination of ceftazidime and cefazolin while vancomycin is predominantly used for definitive therapy. Future studies to evaluate the clinical outcomes of the antibiotic use should be conducted to have a better insight on the efficacy of the peritonitis treatment.
Materials and Methods: We conducted a prospective, cohort, observational study among patients with epilepsy who received VPA treatment at Hospital Kuala Lumpur. The patients were considered to have good control if they had a 50% or higher seizure reduction in the one-year study period compared with the previous year. The VPA reference range was generated from those patients who had good control and whose drug concentration values were available. Multiple logistic regression analysis with a backward likelihood ratio method was applied to assess the predicting factors for good seizure control.
Results: A total of 242 patients were recruited and followed up for one year. The VPA reference range was determined to be 40-85 mg/L. After multivariate analysis, significant predictive variables for good control were monotherapy [adjusted OR 4.74, 95% CI: 2.258, 9.947, p<0.001], non-smoking [adjusted OR 3.23, 95% CI: 1.099, 9.473, p=0.033], normal brain imaging results [adjusted OR 5.83, 95% CI: 2.507, 13.552, p<0.001], and the absence of stress [adjusted OR 19.98, 95% CI: 9.255, 42.764, p<0.001].
Conclusion: Monotherapy, non-smoking, normal brain imaging results, and the absence of stress are predictive of good seizure control in patients on VPA. However, a serum concentration of VPA in the reference range failed to predict good seizure control.
METHODS: This paper introduces a biological inspired fuzzy adaptive window median filter (FAWMF) which computes the fuzzy membership strength of nucleotides in each slide of window and filters nucleotides based on median filtering with a combination of s-shaped and z-shaped filters. Since coding regions cause 3-base periodicity by an unbalanced nucleotides' distribution producing a relatively high bias for nucleotides' usage, such fundamental characteristic of nucleotides has been exploited in FAWMF to suppress the signal noise.
RESULTS: Along with adaptive response of FAWMF, a strong correlation between median nucleotides and the Π shaped filter was observed which produced enhanced discrimination between coding and non-coding regions contrary to fixed length conventional window filters. The proposed FAWMF attains a significant enhancement in coding regions identification i.e. 40% to 125% as compared to other conventional window filters tested over more than 250 benchmarked and randomly taken DNA datasets of different organisms.
CONCLUSION: This study proves that conventional fixed length window filters applied to DNA signals do not achieve significant results since the nucleotides carry genetic code context. The proposed FAWMF algorithm is adaptive and outperforms significantly to process DNA signal contents. The algorithm applied to variety of DNA datasets produced noteworthy discrimination between coding and non-coding regions contrary to fixed window length conventional filters.