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1.
Indian Pediatr ; 2019 Feb; 56(2): 123-125
Article | IMSEAR | ID: sea-199266

ABSTRACT

Objective: To study the five year trend of epidemiological and demographic characteristics ofdengue infections from year 2013 to 2017 among children upto 15 years. Methods: Thisstudy presents data from review of microbiology department records of samples for denguetesting with information supplied by clinicians on the investigation request form. Patientswere tested for NS1 Ag, IgM Ab or both. Results: Out of 4216 samples, 1072 (25.4%) werepositive for dengue. Positivity ranged from 44.1% in year 2013, 25.8% in 2015 to 16.1% inyear 2017. Most cases reported were among male (57.9%), from urban areas (77.9%) andRajkot district (75.7%). Reporting of dengue cases increased from July to November withpeak during October every year. Conclusion: Serum samples for dengue serology weremore commonly positive in July-September months during the study period, and in malechildren, and those from urban areas.

2.
Article in English | IMSEAR | ID: sea-182130

ABSTRACT

Background: Surgical site infections (SSIs) are associated with substantial morbidity and mortality, prolonged hospital stay, and increased cost. The accurate identification of risk factors is essential to develop strategies to prevent these infections. Objectives: To analyze the incidence of surgical site infections & to identify associated risk factors. Materials & methods: During the study period, data were collected prospectively for 494 patients undergoing major surgery (abdominal hysterectomy, laparotomy, caesarean section) in the obstetrics & gynecology department of a tertiary care hospital. Results: Out of 494 patients, 21 patients (4.25%) developed SSI. The highest rate of SSI (50%) was found in age group 51-60 years. The rate of SSI for 0, 1, 2 & 3 basic risk indices was 1.59%, 3.15%, 5.85% & 25% respectively. Incidence of SSI was higher in elective surgeries ascompared to emergency surgeries, a paradoxical finding of our study. Conclusion: Age, Basic SSI risk index, & electivity of the procedure were identified as the main predictors of surgical site infections.

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