Comparison Of Apache Ii And Gcs In Post Anesthesia Care Unit Pdf
File Name: comparison of apache ii and gcs in post anesthesia care unit .zip
CONTEXT: The high-complexity features of intensive care unit services and the clinical situation of patients themselves render correct prognosis fundamentally important not only for patients, their families and physicians, but also for hospital administrators, fund-providers and controllers. Prognostic indices have been developed for estimating hospital mortality rates for hospitalized patients, based on demographic, physiological and clinical data.
- Scoring systems in the intensive care unit: A compendium
- Early versus late tracheostomy in patients with acute severe brain injury
- ICU Scoring Systems
Objective: To compare the effects of early tracheostomy and of late tracheostomy in patients with acute severe brain injury. Desenvolvido por:. Introduction Tracheostomy is a procedure commonly performed in patients admitted to the ICU with respiratory failure. Tracheostomy has been reported to have advantages over translaryngeal intubation, although there is no consensus regarding such advantages. Among them, the following are of note: easier handling of the airways; greater patient comfort and facility of communication, reducing the need for sedation; possibility of oral feeding; improved respiratory mechanics; reduced trauma in the oral cavity; prevention of ventilator-associated pneumonia VAP ; and easier weaning.
Scoring systems in the intensive care unit: A compendium
Correspondence Address : Dr. Introduction: Intensive care units ICUs receive obstetric patients with medical and surgical complications as well as obstetrical emergencies.
These patients needing intensive care present an exclusive challenge both for the obstetrician as well as the intensivist. In developing countries such as India, due to scarcity of ICU resources, maternal morbidity and mortality of such patients is high.
Objectives: The aim of our study was to examine the pattern of admission, prevalence, causes, and the outcomes of critically ill obstetric patients admitted to an Indian ICU and the factors affecting mortality. Materials and Methods: A prospective study of all obstetric patients pregnant and within 6 weeks postpartum admitted in a bedded ICU of a tertiary care hospital over a period of 18 months from January to June was done.
The data collected included demographics, obstetric and medical history, illness severity scores, organ failures, treatment given, the ICU stay, hospital stay, and outcomes. Results: A total of 48 obstetric patients were admitted in the ICU during the study period. Mean age was Mortality of study patients was 8. Average ICU stay was 6. Early assessment and intervention of critically ill obstetrical patients with a team approach involving obstetricians and intensivists is ideal.
All obstetric residents should have a mandatory short ICU training. Yeolekar ME, Mehta S. ICU care in India — Status and challenges. J Assoc Physicians India ; Sriram S, Robertson MS. Critically ill obstetric patients in Australia: A retrospective audit of 8 years' experience in a tertiary Intensive Care Unit. Crit Care Resusc ; Prediction of mortality and morbidity by simplified acute physiology score II in obstetric Intensive Care Unit admissions.
Indian J Med Sci ; Obstetric intensive care unit admission: A 2-year nationwide population-based cohort study. Intensive Care Med ; Prospective evaluation of maternal morbidity and mortality in post-cesarean section patients admitted to postanesthesia Intensive Care Unit. J Anaesthesiol Clin Pharmacol ; Obstetric admissions to the Intensive Care Unit: A year review. Arch Gynecol Obstet ; Obstetric patients requiring intensive care: A one year retrospective study in a tertiary care institute in India.
Anesthesiol Res Pract ; Obstetric patients requiring critical care. A five-year review. Chest ; Why do obstetric patients go to the ICU? A 3-year-study. Med J Armed Forces India ; A retrospective analysis of obstetric patient's outcome in Intensive Care Unit of a tertiary care center.
Obstetric intensive care: A developing country experience. Internet J Anaesth ; Critical care management of the obstetric patient. Can J Anaesth ; Clinical characteristics and outcomes of obstetric patients requiring ICU admission. Obstetric critical care: A prospective analysis of clinical characteristics, predictability, and fetomaternal outcome in a new dedicated obstetric intensive care unit. Indian J Anaesth ; Crit Care Med ; Analysis of disease in the obstetric Intensive Care Unit at a university referral center: A month review of prospective data.
J Reprod Med ; Prognostic factors in obstetric patients admitted to an Indian Intensive Care Unit. Maternal outcomes in critically ill obstetrics patients: A unique challenge. Indian J Crit Care Med ; Impact of maternal age on obstetric outcome. Obstet Gynecol ; Cunningham FG. Obstetrics complications. Williams Obstetrics. New-York: McGraw Hill; Zeeman GG. Obstetric critical care: A blueprint for improved outcomes. Crit Care Med ;S A comparison of severity of illness scoring systems for critically ill obstetric patients.
Risk factors for maternal deaths in unplanned obstetric admissions to the Intensive Care Unit-lessons for Sub-Saharan Africa. Afr J Reprod Health ; Predictors of maternal mortality among critically ill obstetric patients. Malawi Med J ; Predictors and outcome of obstetric admissions to Intensive Care Unit: A comparative study.
Indian J Public Health ; Baskett TF, Sternadel J. Maternal intensive care and near-miss mortality in obstetrics. Br J Obstet Gynaecol ; Schultz,Michael M. Search articles. Users Online: Predictors of mortality in critically ill obstetric patients in a tertiary care intensive care unit: A prospective 18 months study.
J Obstet Anaesth Crit Care ; Table 1: Demographic data Click here to view. Table 2: Comparison of descriptive data in discharge versus dead patients Click here to view. Figure 1: Admitting diagnosis Click here to view. Figure 2: ICU treatment modalities Click here to view.
Figure 3: ROC curve to predict mortality Click here to view. This article has been cited by. Koroma,Giovanni Putoto. Related articles Critically ill intensive care unit treatment mortality obstetric patients.
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Early versus late tracheostomy in patients with acute severe brain injury
Show all documents The comparison of apache II and apache IV score to predict mortality in intensive care unit in a tertiary care hospital Both APACHE models have shown good performance in the developed countries and other parts of the world. Thus, more studies in multiple center involving larger patient population are needed to validate both the scoring systems in developing countries like ours and separate scoring systems that correct the pitfalls in resource limited environment need to be developed for good predictability. In addition, an anesthesiologist was defined as a resident doctor 24 hours. This changes caused us to have anticipation of less mortality and more favorable outcome but this was not the case as is shown here.
ICU Scoring Systems
He is an internationally recognised Clinician Educator with a passion for helping clinicians learn and for improving the clinical performance of individuals and collectives. He has completed fellowship training in both intensive care medicine and emergency medicine, as well as post-graduate training in biochemistry, clinical toxicology, clinical epidemiology, and health professional education. He is actively involved in in using translational simulation to improve patient care and the design of processes and systems at Alfred Health.
Risk prediction models allow clinicians to forecast which individuals are at a higher risk for developing a particular outcome. We developed and internally validated a delirium prediction model for incident delirium parameterized to patient ICU admission acuity. Risk factors included in the model were readily available in electric medical records. Least absolute shrinkage and selection operator logistic LASSO regression was used for model development. Discrimination was determined using area under the receiver operating characteristic curve AUC.
Background: The acute physiology score is determined from the most deranged worst physiologic value, for example, the lowest blood pressure or the highest respiratory rate, during the initial 24 h after Intensive Care Unit ICU admission. The aim of present study is to apply Acute Physiology and Chronic Health Evaluation II APACHE II scoring system to surgical patients who have been critically ill preoperatively requiring elective surgical intervention or who underwent extensive elective surgery thereby requiring post-operative critical care monitoring and treatment in the post-operative ward or ICU or surgical ward. Materials and Methods: This prospective study was carried out on critically ill surgical patients from August to December in M.
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