ChatGPT in Answering Queries Related to Lifestyle-Related Diseases and Disorders.

Background Lifestyle-related diseases and disorders have become a significant global health burden. However, the majority of the population ignores or do not consult doctors for such disease or disorders. Artificial intelligence (AI)-based large language model (LLM) like ChatGPT (GPT3.5) is capable of generating customized queries of a user. Hence, it can act as a virtual telehealth agent. Its capability to answer lifestyle-related diseases or disorders has not been explored. Objective This study aimed to evaluate the effectiveness of ChatGPT, an LLM, in providing answers to queries related to lifestyle-related diseases or disorders. Methods A set of 20 lifestyle-related disease or disorder cases covering a wide range of topics such as obesity, diabetes, cardiovascular health, and mental health were prepared with four questions. The case and questions were presented to ChatGPT and asked for the answers to those questions. Two physicians rated the content on a three-point Likert-like scale ranging from accurate (2), partially accurate (1), and inaccurate (0). Further, the content was rated as adequate (2), inadequate (1), and misguiding (0) for testing the applicability of the guides for patients. The readability of the text was analyzed by the Flesch-Kincaid Ease Score (FKES).  Results Among 20 cases, the average score of accuracy was 1.83±0.37 and guidance was 1.9±0.21. Both the scores were higher than the hypothetical median of 1.5 (p=0.004 and p<0.0001, respectively). ChatGPT answered the questions with a natural tone in 11 cases and nine with a positive tone. The text was understandable for college graduates with a mean FKES of 27.8±5.74. Conclusion The analysis of content accuracy revealed that ChatGPT provided reasonably accurate information in the majority of the cases, successfully addressing queries related to lifestyle-related diseases or disorders. Hence, initial guidance can be obtained by patients when they get little time to consult a doctor or wait for an appointment to consult a doctor for suggestions about their condition.

Assessing the Utilization of Large Language Models in Medical Education: Insights From Undergraduate Medical Students.

Background Artificial intelligence (AI) has the potential to be integrated into medical education. Among AI-based technology, large language models (LLMs) such as ChatGPT, Google Bard, Microsoft Bing, and Perplexity have emerged as powerful tools with capabilities in natural language processing. With this background, this study investigates the knowledge, attitude, and practice of undergraduate medical students regarding the utilization of LLMs in medical education in a medical college in Jharkhand, India. Methods A cross-sectional online survey was sent to 370 undergraduate medical students on Google Forms. The questionnaire comprised the following three domains: knowledge, attitude, and practice, each containing six questions. Cronbach's alphas for knowledge, attitude, and practice domains were 0.703, 0.707, and 0.809, respectively. Intraclass correlation coefficients for knowledge, attitude, and practice domains were 0.82, 0.87, and 0.78, respectively. The average scores in the three domains were compared using ANOVA. Results A total of 172 students participated in the study (response rate: 46.49%). The majority of the students (45.93%) rarely used the LLMs for their teaching-learning purposes (chi-square (3) = 41.44, p < 0.0001). The overall score of knowledge (3.21±0.55), attitude (3.47±0.54), and practice (3.26±0.61) were statistically significantly different (ANOVA F (2, 513) = 10.2, p < 0.0001), with the highest score in attitude and lowest in knowledge. Conclusion While there is a generally positive attitude toward the incorporation of LLMs in medical education, concerns about overreliance and potential inaccuracies are evident. LLMs offer the potential to enhance learning resources and provide accessible education, but their integration requires further planning. Further studies are required to explore the long-term impact of LLMs in diverse educational contexts.

Perceived leadership quality and empathy among Indian undergraduate medical students.

BACKGROUND: Efficient leaders from the medical fraternity may understand healthcare in depth. Empathy is important for patient care, job satisfaction, and the psychological well-being of doctors. Empathic leadership is concerned with an interest in the people around them. This study aimed to observe the perceived leadership quality and empathy among Indian medical undergraduate students, find any correlation between them, and assess age, sex, and semester of study as predictor variables for leadership and empathy. MATERIALS AND METHODS: An online cross-sectional survey was conducted on Google Forms with undergraduate medical students in India with a convenient snowball sample. The Abbreviated Self Leadership Quality (ASQL) was used to find the leadership quality and the eight-item Empathy Quotient (EQ-8) to find the empathy. Spearman's correlation coefficient was calculated between ASQL and EQ-8 score. Age, sex, and semester were used as predictor variables in regression analysis with leadership and empathy as dependent variables. RESULT: A total of 439 (50.8% male, 49.2% female) Indian undergraduate students participated in the study. Males showed higher leadership qualities. There was no gender difference in empathy. Leadership was positively correlated (rs =0.13, P = .006) with empathy in the overall sample. The age (P = .001), sex (P < .0001), and semester of study (P < .0001) successfully predicts leadership (F = 57.167, P < .0001). Although age, sex, and semester combined successfully predict empathy (F = 5.31, P = .001), individually, only a semester of study (P = .009) significantly contributes to the prediction. CONCLUSION: Male and female medical students show a similar level of empathy but male shows higher leadership quality. Leadership and empathy are positively correlated; hence, students with higher leadership quality would show higher empathy and vice versa. The age, sex, and semester of study are determinants of leadership whereas semester of study is the determinant of empathy.

The Capability of ChatGPT in Predicting and Explaining Common Drug-Drug Interactions.

Background Drug-drug interactions (DDIs) can have serious consequences for patient health and well-being. Patients who are taking multiple medications may be at an increased risk of experiencing adverse events or drug toxicity if they are not aware of potential interactions between their medications. Many times, patients self-prescribe medications without knowing DDI. Objective The objective is to investigate the effectiveness of ChatGPT, a large language model, in predicting and explaining common DDIs. Methods A total of 40 DDIs lists were prepared from previously published literature. This list was used to converse with ChatGPT with a two-stage question. The first question was asked as "can I take X and Y together?" with two drug names. After storing the output, the next question was asked. The second question was asked as "why should I not take X and Y together?" The output was stored for further analysis. The responses were checked by two pharmacologists and the consensus output was categorized as "correct" and "incorrect." The "correct" ones were further classified as "conclusive" and "inconclusive." The text was checked for reading ease scores and grades of education required to understand the text. Data were tested by descriptive and inferential statistics. Results Among the 40 DDI pairs, one answer was incorrect in the first question. Among correct answers, 19 were conclusive and 20 were inconclusive. For the second question, one answer was wrong. Among correct answers, 17 were conclusive and 22 were inconclusive. The mean Flesch reading ease score was 27.64±10.85 in answers to the first question and 29.35±10.16 in answers to the second question, p = 0.47. The mean Flesh-Kincaid grade level was 15.06±2.79 in answers to the first question and 14.85±1.97 in answers to the second question, p = 0.69. When we compared the reading levels with hypothetical 6th grade, the grades were significantly higher than expected (t = 20.57, p < 0.0001 for first answers and t = 28.43, p < 0.0001 for second answers). Conclusion ChatGPT is a partially effective tool for predicting and explaining DDIs. Patients, who may not have immediate access to the healthcare facility for getting information about DDIs, may take help from ChatGPT. However, on several occasions, it may provide incomplete guidance. Further improvement is required for potential usage by patients for getting ideas about DDI.

Comparative pulmonary function test parameters in non-tribal and tribal women in singleton first, second, and the third trimester of pregnancy.

Background: During pregnancy, women undergo adaptive changes in different organ systems including the respiratory system by hormonal changes and mechanical pressures. Several previous studies reported the change in pulmonary functions in pregnancy and tribal populations. However, trimester-wise, pulmonary functions in tribal women residing in Jharkhand, India, are not available. Aim: This study aimed to find and compare the pulmonary function test parameters in tribal and non-tribal women in singleton first, second, and third trimesters of pregnancy. Methods: We conducted this cross-sectional observational study in a tertiary care hospital in Jharkhand, India, with 58 tribal women and 116 age-matched controls. The pulmonary function tests, namely forced vital capacity (FVC), forced expiratory volume in the first second (FEV1), peak expiratory flow rate (PEFR), maximal mid expiratory flow (MMEF) were measured with a computerized spirometer (Spiro Excel, Medicaid, Punjab, India) and FEV1/FVC was calculated. Results: A total of 58 tribal women with median age 22 (Q1-Q3: 21-25) years and 116 non-tribal women with median age 22 (20-25) (P=0.33) participated in the study. The tribal women showed higher respiratory rate (20 [18-24.5] vs. 16 [15-18] per minute, P<.0001), higher MMEF in the first trimester (1.46 [1.12-1.79] vs. 1.24 [1.04-1.5] L/s, P=0.047) and higher PEFR (4.02 [2.78-4.11] vs. 3.15 [2.58-3.87] L/s, P=.047) in the second trimester. There was no difference in the third trimester of pregnancy. In the overall sample, the tribal women showed higher PEFR (3.82 [2.96-4.33] vs. 3.3 [2.73-4.05] L/s, P=.02) and MMEF (1.43 [0.99-1.7] vs. 1.21 [1-1.47] L/s, P=.04). Conclusion: The respiratory rate was higher in the tribal women in the three trimesters of singleton pregnancy compared to the non-tribal women. There was a higher MMEF in the first trimester and PEFR in the second-trimester pregnancy in the tribal women. The finding of this pilot study should be enhanced by further study with a large number of tribal women from this region.

Correlation of serum uric acid with lipid profile in patients with type 2 diabetes mellitus with normal creatinine level: Report from a tertiary care hospital in India.

Background: Increased serum uric acid (SUA) level is considered a risk factor for kidney diseases in type 2 diabetes mellitus (T2DM) patients. Deranged lipid profile in T2DM is an overall risk factor for cardiovascular complications. Aim: This study aimed to find the correlation between SUA and serum lipid profile in T2DM patients who had serum creatinine levels within normal limits. Materials and Methods: This cross-sectional observational study was conducted in a tertiary care hospital in eastern India. Serum creatinine level was measured first. Then, patients with serum creatinine levels within normal limits were recruited as the final sample. Anthropometric measurements were conducted by an experienced clinician. A 12-h fasting venous blood sample was used to measure serum urea, lipids, sugar, and glycated hemoglobin. Results: A total of 176 (male = 104 [59.1%], female = 72 [40.9%]) T2DM patients with a median age of 46 (Q1-Q3 = 40-55) years participated in the study. There was no gender difference in fasting blood sugar (FBS) (P = 0.57), SUA (P = 0.42), and high-density lipoprotein-cholesterol (HDL-C) (P = 0.17). Females showed higher total cholesterol (TC) (P < 0.0001), triglyceride (TG) (P = 0.002), low-density lipoprotein-cholesterol (LDL-C) (P = 0.0002), and very-low-density lipoprotein-cholesterol (VLDL-C) (P = 0.01). SUA showed significant positive correlation with TG (rs = 0.65, P < 0.0001) and VLDL-C (rs = 0.63, P < 0.0001) and significant negative correlation with HDL-C (rs = -0.35, P < 0.0001) and FBS (rs = -0.45, P < 0.0001). Conclusions: A higher level of SUA, an indicator for kidney disease in T2DM patients, may be associated with a higher TG and VLDL-C and lower FBS and HDL-C. Thus, SUA should be monitored along with lipid profile for early detection of the risk of kidney diseases.

Effect of using disposable polyethylene bag as a probe cover or finger cover in pulse oximetry.

Background: Consumer-grade pulse oximeters are used to monitor blood oxygen levels (SpO2) at home. Sharing a pulse oximeter with family members in isolation centers or home isolation due to COVID-19 may increase the chances of cross-infection. Aim: We aimed to find if using commonly available disposable polyethylene covers either on the finger and/or on the pulse oximeter provides the same reading of SpO2 or not. Methods: Two operators measured SpO2 on 10 healthy subjects with three randomly selected pulse oximeters. Six types of commonly available polythene bags (transparent, translucent, and opaque) were used to cover the fingers and/or device. After measuring the baseline SpO2 (i.e., without using covers), the measurements were taken with a covered finger, and/or covered oximeter probe. Results: The mean age of the research participants (five male, five female) was 23.9 ± 5.11 years. Perfusion index was 9.12 ± 1.63 (males 9.6 ± 1.42, females 8.64 ± 1.85, P = 0.38). Black opaque polyethylene bag as finger or probe cover did not detect any signal. There was no difference in SpO2 reading when a pulse oximeter probe is covered, and/or a finger is covered. There was excellent inter-observer and inter-device agreement. Conclusion: Commonly available transparent and translucent polyethylene plastic bags may be used as finger or pulse oximeter cover without compromising the SpO2 reading. However, an opaque black plastic bag is not suitable for finger or probe cover. These easily available and cheap pulse oximeter covers may be used by multiple patients or family members in an emergency like the COVID-19 pandemic with the potential to prevent cross-infection.

Brainstem auditory evoked potential in clinical hypothyroidism.

OBJECTIVES: The association of hypothyroidism with impairment of hearing is known to occur. It may be of any kind i. e., conductive, sensorineural or mixed. The aim of this study is to assess auditory pathway by brainstem auditory evoked potential (BAEP) in newly diagnosed patients of clinical hypothyroidism and healthy sex- and age-matched controls. MATERIALS AND METHODS: The study included 25 healthy age- and sex-matched controls (Group I) and 25 patients of newly diagnosed clinical hypothyroidism (Group II). The recording was taken by using RMS EMG EP MK2 equipment. STATISTICAL ANALYSIS USED: Unpaired Student's t test. RESULTS: There was a significant increase in wave IV (5.16 ± 0.85 ms) and wave V (6.17 ± 0.89 ms) latencies of right ear BAEP of Group II in comparison to wave IV (4.66 ± 0.39 ms) and wave V (5.49 ± 0.26 ms) of Group I. Wave V of left ear BAEP of Group II was also prolonged (6 ± 0.61 ms) in comparison to Group I (5.47 ± 0.35 ms). There was a significant difference in inter-peak latencies IPL I -V (4.44 ± 0.66 ms) and IPL III -V (2.2 ± 0.5 ms) of right ear BAEP of Group II in comparison to IPL I -V (3.94 ± 0.31 ms) and IPL III -V (1.84 ± 0.34 ms) of Group I. A significant prolongation was also found of IPL I -V (4.36 ± 0.59 ms) and IPL III -V (2.2 ± 0.42 ms) of left ear BAEP of Group II in comparison to IPL I -V (3.89 ± 0.3 ms) and IPL III -V (1.85 ± 0.3 ms) of Group I. CONCLUSION: Prolongation of wave IV and V along with inter-peak latencies in BAEP of both ears suggests that central auditory pathway is affected significantly in clinical hypothyroid patients.

Brainstem evoked potential in newly diagnosed patients of subclinical hypothyroidism.

BACKGROUND: Hypothyroidism is known to be associated with impairment of hearing. The hearing impairment may be conductive, sensorineural, or mixed. AIMS: The aim is to assess the auditory pathway by brainstem auditory evoked potentials (BAEPs) in newly diagnosed patients of subclinical hypothyroidism and healthy sex- and age-matched controls. MATERIALS AND METHODS: The study included 25 healthy sex- and age-matched controls (Group I) and 25 patients of newly diagnosed subclinical hypothyroidism (Group II). The recording was taken by using RMS EMG EP MK2 equipment. The unpaired Student's t-test was used and a P value <0.05 was considered significant. RESULTS: Wave V of right ear BAEP in group II was prolonged (6 ± 0.62 ms) compared to group I (5.49 ± 0.26 ms), and wave V of left ear BAEP in group II was prolonged (5.84 ± 0.57 ms) compared to group I (5.47 ± 0.35 ms). There was no significant coefficient of correlation between wave V and inter-peak latency (IPL) I-V compared to thyroid-stimulating hormone (TSH) levels of both the ears. CONCLUSION: The prolongation of wave V in BAEPs of both ears suggests that the central auditory pathway is affected significantly in subclinical hypothyroid patients.

Study of cognitive functions in newly diagnosed cases of subclinical and clinical hypothyroidism.

INTRODUCTION: Hypothyroidism is associated with significant neurocognitive deficits because hypothyroidism prevents the brain from adequately sustaining the energy consuming processes needed for neurotransmission, memory, and other higher brain functions. Hence, the study was done to assess the cognitive functions of newly diagnosed subclinical and clinical hypothyroid patients by evoked response potential P300. MATERIALS AND METHODS: 75 patients each of newly diagnosed subclinical and clinical hypothyroid patients attending endocrinology clinic and 75 healthy age and sex matched euthyroid controls were considered for the study. P300 was recorded with Record Medicare System Polyrite, Chandigarh using auditory "oddball paradigm". The data was analyzed using ANOVA followed by post Tukey's test. RESULTS: Newly diagnosed clinical hypothyroid patients showed a significant increase in P300 latency compared to control (P < 0.05) and subclinical cases (P < 0.01) while there was no significant difference between the P300 latency of subclinical cases and control group. Also, there was no significant difference in P300 amplitude among the three groups. CONCLUSION: P300 latency in case of newly diagnosed hypothyroid clinical cases is significantly increased compared to newly diagnosed subclinical cases and control.

Heart rate variability and its correlation with pulmonary function test of smokers.

CONTEXT: Though many studies have been conducted on the effect of chronic smoking on pulmonary function test (PFT) and heart rate variability (HRV), no study has found a correlation between the pulmonary function test and heart rate variability parameters so far. AIM: The aim was to study if there was a correlation, if any, between PFT and HRV. SETTINGS AND DESIGN: Thirty male subjects who were chronic smokers of at least 10 pack years and another 30 nonsmoking healthy males were included in the study and were matched for age, height, weight, and body surface area. MATERIALS AND METHODS: PFT and HRV were performed on these subjects and a correlation was statistically derived. STATISTICAL ANALYSIS USED: Spearman's correlation coefficient was used for the analysis of HRV and PFT. Multiple stepwise regression analysis was used subsequently. RESULTS: HF and LF showed correlation coefficients of 0.378 and-0.383 with forced expiratory volume in the first second (FEV 1) and peak expiratory flow rate (PEFR), respectively. It was found that only FEV 1/FVC was having a statistically significant regression coefficient with HF the R-value was found to be 0.425 while with other parameters, it was not significant. CONCLUSION: We conclude that smoking affects all the parameters of PFT and HRV. Since there is a correlation between PFT parameters (PEFR and FEV1) and HRV parameter (LF and HF), this can help us in predicting cardiac morbidity in chronic smokers. So HRV should be included as a routine test along with PFT in chronic smokers for early diagnosis of cardiac involvement.

Effect of acute moderate exercise on cognitive P300 in persons having sedentary lifestyles.

BACKGROUND: There are conflicting reports regarding the effect of exercise on cognition. We therefore planned to assess the acute effect of moderate exercise on cognition, studied by event-related brain potential P300, in subjects having sedentary lifestyles. MATERIALS AND METHODS: Sixty adults (40 males and 20 females) in the age-group of 18-30 years having sedentary lifestyles were included in the study. Baseline P300 was first measured and after that the subjects were divided into two equal age- and sex-matched groups. The test group was subjected to moderate exercise (that is, to achieve 60%-80% of maximum heart rate during exercise, where 100%=200-age) on a bicycle ergometer for 5 minutes, following which postexposure P300 was measured. In the control group P300 was re-recorded 15 minutes after baseline recording, without any intervening exercise. RESULTS: The latency of P300 was found to be significantly reduced after acute moderate exercise in the test group. CONCLUSION: It appears that acute moderate exercise improves the cognitive brain functions of adults with sedentary lifestyles.