Artificial Intelligence - Perception of Clinical Laboratories' Technical Staff a Nationwide Multicentre Survey in Pakistan.

Introduction: As Artificial Intelligence (AI) technology continues to assimilate into various industries, there is a huge scope in the healthcare industry specifically in clinical laboratories. The perspective of the laboratory professionals can give valuable insight on the ideal path to take for AI implementation. Methods: The study utilized a cross-sectional survey design and was conducted at the section of Chemical Pathology, Department of Pathology and Laboratory Medicine, the Aga Khan University (AKU), Karachi, Pakistan in collaboration with Consultant Pathologists of 9 clinical laboratories associated with teaching hospitals across Pakistan from October-November 2023. The survey was for a duration of 2 weeks and was circulated to all working laboratory technical staff after informed consent. Results: A total of 351 responses were received, of which 342 (male=146, female=196) responses were recorded after exclusion. Respondents ranged from technologists, faculty, residents, and coordinators, and were from different sections (chemical pathology, microbiology, haematology, histopathology, POCT). Out of the total 312 (91.2%) of respondents stated that they were at least somewhat familiar with AI technology. Experts in AI were only 2.0% (n=7) of all respondents, but 90% (n=6) of these were < 30 years old. 76.3% (n=261) of the respondents felt the need to implement more AI technology in the laboratories, with time saving (26.1%) and improving performances of tests (17.7%) cited to be the greatest benefits of AI. Security concerns (n=144) and a fear of decreasing personal touch (n=143) were the main concerns of the respondents while the younger employees had an increased fear of losing their jobs. 76.3% were in favour of an increase in AI usage in the laboratories. Conclusion: This study highlights a favourable perspective among laboratory professionals, acknowledging the potential of AI to enhance both the efficiency and quality of laboratory practices. However, it underscores the importance of addressing their concerns in the thoughtful implementation of this emerging technology.

Predictors of depression in women with polycystic ovary syndrome.

The aim of this study is to assess the prevalence and predictors of depressive symptoms in women with polycystic ovary syndrome (PCOS). In a cross-sectional study of 114 women seeking consultation for symptoms of PCOS (menstrual irregularity, hirsutism, and/or acne), personal and family history of depression (HD and FHD respectively) were enquired. Vitamin D status (n = 104) and manifest depressive symptoms assessed by personal health questionnaire (PHQ) (MD) were evaluated in a subset (85). Relationships between HD and MD with PCOS symptoms, FHD, and vitamin D status were assessed using adjusted analyses. Thirty-five percent acknowledged a HD; MD (PHQ > 4) was apparent in 43 %. HD was associated with hirsutism (OR 2.4, 95 % CI 1.01-5.9), disturbed sleep (OR 3.0, 95 % CI 1.3-6.9), and with FHD (OR 4.8, 95 % CI 1.7-13.5). Disturbed sleep (OR 2.4, 95 % CI 1.01-5.7) and FHD (OR 3.8, 95 % CI 1.3-11.2) were independent predictors of HD adjusting for race and BMI. An inverse correlation was noted between serum 25 OH vitamin D (25OHD) levels and PHQ score, but only in those with vitamin D deficiency (25OHD ≤ 30 ng/ml, n = 57, r =-0.32, p = 0.015). 25OHD < 20 ng/ml (OR 3.5, 95 % CI 1.1-11.8) and HD (OR 12.8, 95 % CI 3.6-45.2) predicted scoring in the highest PHQ tertile after adjusting for hirsutism, BMI, and race. In women with PCOS, disturbed nocturnal sleep and FDH predicted personal HD, whereas HD and vitamin D deficiency related to the severity of MD symptoms.

Liaison psychiatry and depression in medical inpatients.

OBJECTIVE: To assess the frequency of depression among hospitalized patients, the socio-demographic variables associated with depression and the number of cases referred by physicians to Psychiatry. METHODS: A cross-sectional study was carried out at the Aga Khan University Hospital Karachi. An anonymous Urdu version of the WHO-developed self-reporting questionnaire (SRQ) was administered to inpatients meeting the inclusion criteria. Data was analyzed by SPSS version 13.0. RESULT: Of the 225 patients approached, 178 completed the questionnaire (men= 45.2%, women = 54.8%). The mean age of the sample was 45.2 years. Out of the total 30.5% of patients were identified as having probable depression, among which housewives were more likely to be depressed compared to others (p=0.031). Among variable comparison, there with secondary school education or below and those with psychiatric co-morbidities, showed significantly greater prevalence of depression (p=0.003) and (p=0.005) respectively. Attending physicians correctly diagnosed 7 (13%) patients and referred only 3 patients to Psychiatry over the previous month. CONCLUSION: The prevalence of depression among inpatients is comparable to that in the general population. Being a housewife, level at or below secondary school education and having a past psychiatric history are significant factors associated with depression in medical inpatients. A very small number of depressed cases were referred to a psychiatrist.