CONTEXT: Dengue fever (DF) has been steadily increasing in India with outbreaks in certain areas taking the proportion of epidemics. Along with secondary dengue, several risk factors predispose to dengue hemorrhagic fever and dengue shock syndrome. Very few studies associating the relationship between dengue and its severity with ABO blood group have been documented. AIMS: The aim of this study was to determine the association between distribution of ABO Rh blood groups and DF and DF with thrombocytopenia. SETTINGS AND DESIGN: This was a retrospective descriptive study conducted at the clinical laboratory of the department of microbiology. MATERIALS AND METHODS: Dengue patients whose case record contained information on blood group were screened for details of blood group and confirmed dengue diagnosis. Randomly 384 case records were selected. These were divided into two groups; Group 1 included DF cases (platelet count >20,000) and Group 2 included DF cases with thrombocytopenia (platelet count <20,000). Control group consisted of patients other than dengue, whose blood grouping had been done; randomly 390 were selected and analyzed. STATISTICAL ANALYSIS USED: P value was calculated using the Chi-square test. Odds ratio were calculated using the Fisher's exact test. RESULTS: DF was higher in 23% of individuals with AB blood group as compared to 8.5% of controls (P = 0.0004), whereas patients with blood group O were significantly less affected with DF (P = 0.0048). Disease severity was not associated with any of the blood groups. CONCLUSIONS: Individuals with AB blood group are more prone to DF, whereas individuals with blood group O are less prone.

Necrotizing soft tissue infections (NSTI) can be rapidly progressive and polymicrobial in etiology. Establishing the element of necrotizing infection poses a clinical challenge. A 64-year-old diabetic patient presented to our hospital with a gangrenous patch on anterior abdominal wall, which progressed to an extensive necrotizing lesion within 1 week. Successive laboratory risk indicator for necrotizing softtissue infections (LRINEC) scores confirmed the necrotizing element. Cultures yielded Enterococci, Acinetobacter species and Apophysomyces elegans and the latter being considered as an emerging agent of Zygomycosis in immunocompromised hosts. Patient was managed with antibiotics, antifungal treatment and surgical debridement despite which he succumbed to the infection. NSTI's require an early and aggressive management and LRINEC score can be applied to establish the element of necrotizing pathology. Isolation of multiple organisms becomes confusing to establish the etiological role. Apophysomyces elegans, which was isolated in our patient is being increasingly reported in cases of necrotizing infections and may be responsible for high morbidity and mortality. This scoring has been proposed as an adjunct tool to Microbiological diagnosis when NSTI's need to be diagnosed early and managed promptly to decrease mortality and morbidity, which however may not come in handy in an immunocompromised host with polymicrobial aggressive infection.

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Background and Objectives: Surgical site infection (SSI) is a challenge for the surgeon. Incidence of SSI reported in literature varies from 0.5% to 15%. Severity of SSI ranges from superficial skin infection to life-threatening condition like septicaemia. It is responsible for increased morbidity, mortality, and economic burden to the hospital in general, and the patient in particular. The aim of this study was to assess the risk factors, bacteriological profile, length of hospitalization, and cost due to orthopaedic SSI in patients admitted to a tertiary care hospital. Materials and Methods: This was a prospective case control study. Cases were diagnosed based on CDC definition of nosocomial SSI. All cases were assessed preoperatively, intraoperatively and postoperatively, according to type of surgery, wound class, duration of operation, antimicrobial prophylaxis, use of drain, preoperative hospital stay, causative micro organism, total hospital stay, re-admission rates and cost incurred. Age, sex and surgical procedure matched controls without SSI, were also assessed. Chi- square test and Fisher's exact test were used for analysis. P= <0.05 was considered significant. Results: Out of 1023 patients, 47 cases had SSI, with a rate of 4.6%. Cigarette smoking was a risk factor for SSI (P = 0.0035). The most common etiologic agents were Acinetobacter baumannii and Staphylococcus aureus. Incidence of re- admission among SSI cases was more compared to controls (P= 0.0001). Costs attributable to SSI (Indian Rupees) was Rs 32,542 (17,054 to 87,514) which was significantly more than those without SSI (P= <0.001). Conclusion: Despite latest surgical amenities, meticulous sterilization protocols and pre-operative antibiotic prophylaxis, SSI continues to be present in healthcare settings. The increase in duration of hospital stay due to SSI adds to additional burden to an already resource-constrained healthcare system.

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