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1.
Indian J Public Health ; 2016 Apr-jun; 60(2): 159-163
Article in English | IMSEAR | ID: sea-179819

ABSTRACT

This descriptive observational study was carried out in Guru Teg Bahadur Hospital to identify predictors and outcome of obstetric admission to Intensive Care Unit (ICU). Ninety consecutive pregnant patients or those up to 42 days of termination of pregnancy admitted to ICU from October 2010 to December 2011 were enrolled as study subjects with selection of a suitable comparison group. Qualitative statistics of both groups were compared using Pearson's Chi-square test and Fisher's exact test. Odds ratio was calculated for significant factors. Low socioeconomic status, duration of complaints more than 12 h, delay at intermediary facility, and peripartum hysterectomy increased probability of admission to ICU. High incidence of obstetric admissions to ICU as compared to other countries stresses on need for separate obstetric ICU. Availability of high dependency unit can decrease preload to ICU by 5%. Patients with hemorrhagic disorders and those undergoing peripartum hysterectomy need more intensive care.

2.
Article in English | IMSEAR | ID: sea-180539

ABSTRACT

Background. Consultation for surgery and anaesthesia is often the first point of contact with a healthcare provider for a majority of patients in developing countries. In India, where patients have poor access to healthcare, they are likely to present with uncontrolled/untreated/undetected coexisting diseases. However, there is little published literature on this aspect. We hypothesized that many of our patients will present to our pre-anaesthesia evaluation clinic (PAC) with undetected comorbid illnesses and will require proper assessment, treatment and optimization before surgery. Thus, we aimed to assess the frequency and type of comorbid illnesses in patients attending the pre-anaesthesia clinic for elective surgery. Methods. We did a prospective observational study on all patients evaluated in the PAC of our university teaching hospital over a 3-month period to assess the frequency and type of comorbid illnesses. The data recorded included demographic profile and presence of coexisting illness and was classified as preexisting or newly diagnosed at the time of the visit to the PAC. The data were then tabulated and analysed statistically using SPSS software version 14.0. The frequency and percentage of occurrence for each comorbid illness was determined. Results. Of 3973 patients, 242 (6%) had 304 comorbid illnesses (135 cardiac, 54 endocrine, 15 respiratory, 12 others). Of these 88 (29%) were newly detected comorbid conditions (69 cardiac, 9 endocrine, 9 respiratory, 1 others). The most frequent comorbid illness both pre-existing and newly diagnosed were cardiac. Hypertension was the commonest problem in our study population (168 patients). Conclusion: We confirmed that a PAC can detect hitherto undetected comorbid illnesses which are likely to impact the perioperative process.

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