The accuracy of ultrasound in the diagnosis of congenital abnormalities

Objective: To determine the accuracy of ultrasound in the diagnosis of congenital abnormalities at the Aga Khan University Hospital, Karachi.Methods: The data of congenital abnormalities was obtained from the obstetrical database and medical records of all cases complicated by congenital abnormalities, delivering from January 2001 to December 2003 and was reviewed. Antenatal ultrasounds had been performed by operators with different level of experience. In addition this data was retrieved from the termination and Congenital anomaly register. A structured data collection form was used to collect information of different variables of interest.Results: Congenital abnormalities, complicated 2.8% (n=170), of all deliveries, including all cases of termination of pregnancy, stillbirth and live births. Out of the total, 11.6% occurred in women above the age of 35 years. Consanguinity was found in 18.2% cases. Prenatal diagnosis was made in just under half of the cases (48.8%). Central nervous system and renal abnormalities were commonly diagnosed. However, facial defects, heart defects or skeletal defects were more commonly missed.Conclusion: Antenatal ultrasound successfully diagnosed foetal abnormalities in 48.8% of cases, and more than 90% Central Nervous system defects and renal abnormalities. In contrast about a quarter of Cardiac defects and none of the facial defects were detected. Based on these findings we recommend that the Sonologist should incorporate four chamber view of the heart and also look at the face carefully

Evaluation of appendicitis risk prediction models in adults with suspected appendicitis

Background Appendicitis is the most common general surgical emergency worldwide, but its diagnosis remains challenging. The aim of this study was to determine whether existing risk prediction models can reliably identify patients presenting to hospital in the UK with acute right iliac fossa (RIF) pain who are at low risk of appendicitis. Methods A systematic search was completed to identify all existing appendicitis risk prediction models. Models were validated using UK data from an international prospective cohort study that captured consecutive patients aged 16–45 years presenting to hospital with acute RIF in March to June 2017. The main outcome was best achievable model specificity (proportion of patients who did not have appendicitis correctly classified as low risk) whilst maintaining a failure rate below 5 per cent (proportion of patients identified as low risk who actually had appendicitis). Results Some 5345 patients across 154 UK hospitals were identified, of which two‐thirds (3613 of 5345, 67·6 per cent) were women. Women were more than twice as likely to undergo surgery with removal of a histologically normal appendix (272 of 964, 28·2 per cent) than men (120 of 993, 12·1 per cent) (relative risk 2·33, 95 per cent c.i. 1·92 to 2·84; P < 0·001). Of 15 validated risk prediction models, the Adult Appendicitis Score performed best (cut‐off score 8 or less, specificity 63·1 per cent, failure rate 3·7 per cent). The Appendicitis Inflammatory Response Score performed best for men (cut‐off score 2 or less, specificity 24·7 per cent, failure rate 2·4 per cent). Conclusion Women in the UK had a disproportionate risk of admission without surgical intervention and had high rates of normal appendicectomy. Risk prediction models to support shared decision‐making by identifying adults in the UK at low risk of appendicitis were identified

Clinical governance in the management of induction of labour

Objective: To determine whether dissemination of explicit guidelines, developed in consensus with stakeholders, for the processes of induction of labour (IOL), results in reduction of variability in clinical practice.Design: A prospective behaviour modification interventional study.PLACE AND DURATION OF STUDY: The study was conducted in the department of Obstetrics and Gynaecology at the Aga Khan University, Karachi, between January 1 and August 31, 2002.SUBJECTS AND Methods: In a total of 142 conveniently sampled women, undergoing IOL, pre-identified quality assessment indicators were measured. After collection of data from initial 71-women (pre-intervention group) mutually agreed guidelines for clinical practice were disseminated, over a period of time, among consultants, residents and nurses. These indicators were again measured in subsequent 71 women (post-intervention group) to evaluate magnitude of residual non-conformities in these processes.Results: Following behaviour modification interventions, nonconformities in consultants and residents-dependent processes like timely review of patients by consultants (72 vs 1.4%, p value \u3c0.0001), documentation of indication for IOL (66.2 vs 16.9%, p value \u3c0.0001), method of induction for IOL (56.3 vs 28.2%, p value 0.0001), and calculation of Bishop score before IOL (38.0 vs 4.2 %, p value \u3c0.0001) were significantly reduced.CONCLUSION: Dissemination of explicit guidelines developed in consensus with stakeholders significantly reduces variability in clinical practice. Our model can be used for improving quality of care in other areas of obstetric health care