6 research outputs found

    Drastic impacts of 8th October earthquake in Kashmir and role of sustainable development

    Get PDF
    The main environmental loses from the earthquake to the environment were the heavy landslides, destruction of residential and commercial structures, destruction and rerouting of water bodies, etc. Due to the lack of sustainable planning and awareness, debris, building waste materials and misuse of other materials are seriously spoiling the sustainability of the area. Detail survey of the ruined areas of Kashmir due to 8th October earthquake after five years has been performed during this research. Present conditions of the study area are presenting the worst picture. Improper management of dumped construction waste is one of the serious issues. Environmental and sustainability conditions before and after earthquake are compared in this research work. It is concluded that infrastructure development and building construction during last five years after the earthquake are not fulfilling the sustainability requirement. Proper waste handing, recycling of materials, promotion of indigenous building materials and awareness among the local dwellers may help to improve the sustainability and environmental conditions in the study area

    Small molecules, big effects: the role of microRNAs in regulation of cardiomyocyte death

    No full text

    Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

    Get PDF
    Background Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications. Methods We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC). Findings In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683–0·717]). Interpretation In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required. Funding British Journal of Surgery Society
    corecore