Analysis of Clinical Indicators of Quality in Patients with Endotracheal intubation.

INTRODUCTION: Quality and safety in anaesthesia is usually monitored by analysis of perioperative mortality-morbidity and are influenced by anaesthetic and non-anaesthetic factors.

AIM: This study was conducted to analyse the incidence of clinical indicators of quality in endotracheally intubated patients undergoing general abdominal surgeries and obstetric and gynaecological procedures under general anaesthesia and to determine contributing factors for the same.

MATERIALS AND METHODS: This retrospective study was conducted at our institute over a period of 12 months and 709 case records of patients were reviewed. Patients aged 14 years and more belonging to all ASA groups undergoing abdominal surgeries for general and obstetric and gynaecological causes under General Anaesthesia (GA) with endotracheal intubation posted for both elective and emergency surgeries were included in the study. Demographic details including name, age, sex, hospital number, height, weight, body mass index, type of surgery, nature of surgery, duration, American Society of Anaesthesiologists (ASA) physical status were recorded and presence or absence of clinical indicators of quality (presence of cannot intubate cannot ventilate scenario, occurrence of dental injury, episode of non cardiogenic pulmonary oedema, incidents of residual neuromuscular blockade, existence of aspiration pneumonia, unplanned ICU/HDU admissions, interventions for respiratory/ cardiac arrest, occasions of respiratory distress in the recovery period, occurrence of respiratory arrest within 48 hours and re-intubation) were noted and analysed for all 709 patients.

RESULTS: Total 709 patients were analysed in our study. We found that incidence of ICU admission was 1.83% and that of respiratory distress which needed intervention were 0.56%. A total of 0.28% patients needed reintubation. Residual neuromuscular blockade was seen in 0.28% patients. We did not find any case of respiratory and cardiac arrest and also there was no Cannot Ventilate and Cannot Intubate (CVCI) situation encountered in our study. SPSS for windows (version 17.0) was used as statistical software. Chi-square test was the statistical test for significance. A p-value < 0.05 was considered significant.

CONCLUSION: Proper optimization of patients prior to surgery and optimal perioperative care will result in better quality of care and safety in anaesthesia. Documentation of events and its management during perioperative period will help to know the fields of inappropriate management and thereby improve the quality of care and detect the incidence rates with accuracy and help to formulate protocol for institution.