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Nevin Manimala Statistics

Gender differences in the predictors of quality of life in patients with cancer: A cross sectional study

Eur J Oncol Nurs. 2023 Dec 15;68:102492. doi: 10.1016/j.ejon.2023.102492. Online ahead of print.

ABSTRACT

PURPOSE: The aim of the present study was to explore potential differences in the sociodemographic (with a special focus on gender differences) and psychological predictors of quality of life in individuals diagnosed with cancer.

METHODS: A cross-sectional, observational study was carried out involving individuals struggling with different forms of cancer (N = 430). Linear regression was used to investigate the concurrent predictive role of the independent variables, stratified by gender, for each of the five cancer-specific quality of life domains and overall quality of life.

RESULTS: Sociodemographic characteristics had only a negligible to small role in predicting quality of life in both men and women. In contrast, the psychological variables explained a significantly larger portion of the variance in both genders. There were no statistically significant gender differences regarding the raw quality of life domain scores; however, their predictors were markedly different in the two groups.

CONCLUSION: The results of the present study indicate that it is imperative to take gender differences into consideration when planning psychosocial interventions also focusing on strengths, resources, and coping strategies. Considering the consistently emerging importance of family support in patients’ quality of life, offering psychological interventions to caregivers/family members seems warranted to empower them to provide support to patients throughout the illness trajectory.

PMID:38134495 | DOI:10.1016/j.ejon.2023.102492

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Association between body mass index and chronic hypertension in patients with hypertension disorders of pregnancy one-year postpartum

Pregnancy Hypertens. 2023 Dec 21;35:32-36. doi: 10.1016/j.preghy.2023.12.003. Online ahead of print.

ABSTRACT

OBJECTIVES: To determine the association between body mass index (BMI) and chronic hypertension (CHTN) one-year postpartum following pregnancies complicated by hypertensive disorders of pregnancy (HDP).

STUDY DESIGN: A retrospective cohort study of patients with HDP (gestational hypertension or preeclampsia) in a single Midwestern academic center from 2014 to 2018. The primary outcome was CHTN at one-year postpartum, defined as systolic blood pressure ≥ 130 mmHg or diastolic blood pressure ≥ 80 mmHg or taking antihypertensive medication at one-year postpartum. The primary exposure variable was BMI at one-year postpartum, categorized as underweight (<18.5 kg/m2), normal (18.5-24.9 kg/m2), overweight (25-<30 kg/m2), and obese (≥30 kg/m2) and as continuous BMI variable. Descriptive statistics and adjusted logistic regression analysis were performed.

RESULTS: Out of 596 patients with HDP included in this analysis, 275 (46.1 %) had CHTN one-year postpartum. Mean one-year postpartum BMI was 27.9 ± 5.2 kg/m2. Prevalence of CHTN at one-year postpartum was higher in obese (38.1 %) and overweight (30.0 %) groups compared to the normal weight group (29.9 %), p < 0.001. In multivariate logistic regression, obesity at one-year postpartum, compared to normal, was associated with 73 % higher likelihood of CHTN following HDP (adjusted OR 1.73, 95 % CI 1.06-2.84). With BMI as a continuous variable, each unit increase in BMI one-year postpartum was associated with 6 % higher likelihood of CHTN (adjusted OR 1.06, 95 % CI 1.02-1.15).

CONCLUSIONS: Obesity at one-year postpartum following HDP was associated with a higher risk of CHTN compared with normal BMI. Weight is a modifiable risk factor that should be targeted in postpartum interventions to reduce cardiovascular disease following HDP.

PMID:38134483 | DOI:10.1016/j.preghy.2023.12.003

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Improved owner quality of life following surgical repair of canine myxomatous mitral valve disease

J Am Vet Med Assoc. 2023 Dec 22:1-6. doi: 10.2460/javma.23.08.0433. Online ahead of print.

ABSTRACT

OBJECTIVE: To determine quality-of-life changes in owners of dogs undergoing mitral valve repair for myxomatous mitral valve disease, up to 12 months postoperatively.

SAMPLE: Owners of 26 dogs undergoing mitral valve repair at a single UK veterinary referral hospital.

METHODS: Dogs underwent mitral valve repair under cardiopulmonary bypass as previously described. Owner quality of life was assessed by self-completion of a previously validated questionnaire preoperatively and at 1, 3, 6, and 12 months postoperatively.

RESULTS: There was a statistically significant improvement in quality-of-life scores from preoperatively up to 3 months postoperatively and a statistically significant improvement in individual question scores up to 6 months postoperatively.

CLINICAL RELEVANCE: Results suggested that owner quality of life is significantly improved following surgical repair of their pet’s myxomatous mitral valve disease, and this improvement continues beyond the immediate postoperative period. These results may be useful when counseling owners of surgical candidates and is another useful outcome measure.

PMID:38134456 | DOI:10.2460/javma.23.08.0433

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Pregabalin produces similar effects as gabapentin for preanesthetic sedation in cats

J Am Vet Med Assoc. 2023 Dec 22:1-5. doi: 10.2460/javma.23.09.0493. Online ahead of print.

ABSTRACT

OBJECTIVE: To compare the effects of oral pregabalin versus gabapentin on sedation quality and anesthesia recovery times in cats in a typical perioperative setting.

ANIMALS: 50 healthy cats with > 1 kg body weight presenting for elective surgery.

METHODS: In this randomized, prospective clinical trial, cats presenting to the University of California-Davis Veterinary Medical Teaching Hospital were assigned to receive buprenorphine 0.02 mg/kg IM followed by 1 of 2 oral sedation treatments: pregabalin 4 mg/kg or gabapentin 10 mg/kg. Cats were then anesthetized using a standardized protocol. Physical examination parameters and behavioral scores were measured by 2 treatment-blinded veterinarians to compare sedation levels before and after drug administration. Inadequate sedation for handling or IV catheter placement was addressed by dexmedetomidine administration. After surgery was completed, anesthesia recovery times and quality were assessed by the same veterinarians. The effects of pregabalin versus gabapentin on body temperature, respiratory rate, and heart rate were analyzed using Student t tests; behavioral assessments were analyzed using Wilcoxon signed-rank tests; and drug treatment effects on dexmedetomidine sedation rescue and frequency of delirium during anesthetic recovery were analyzed using Fisher exact tests. A P < .05 indicated statistical significance.

RESULTS: There was no significant difference in change of physiologic parameters or sedation scores before and after sedation between groups. The need for rescue sedation for IV catheter placement and the incidence of emergence delirium were infrequent and similar for both treatments.

CLINICAL RELEVANCE: At the doses studied, oral pregabalin and gabapentin produced indistinguishable effects as adjunctive perioperative sedation agents in cats.

PMID:38134455 | DOI:10.2460/javma.23.09.0493

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The Effects of Reinforcement Techniques in Sleeve Gastrectomy and Roux-en-Y Gastric Bypass: Protocol for a Web-Based Survey, Systematic Review, and Meta-Analysis

JMIR Res Protoc. 2023 Dec 22;12:e50677. doi: 10.2196/50677.

ABSTRACT

BACKGROUND: The effects of reinforcement are still controversial in bariatric surgery, and variations may exist in using this technique.

OBJECTIVE: This protocol describes a study that aims to survey the views of bariatric surgeons on reinforcement techniques and evaluate the effects of applying reinforcement techniques in sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB).

METHODS: This study is composed of 2 parts. Part 1 will investigate the differences of using reinforcement techniques among surgeons worldwide who perform SG or RYGB through a survey. The survey will be conducted by email and social media. Part 2 will evaluate the safety and effectiveness of using omentopexy or staple line reinforcement in SG and RYGB by systematic review and meta-analysis. In this part, literature searches will be performed in English databases, including CENTRAL, EMBASE CINAHL, Web of Science, and PubMed, and Chinese databases, including Wanfang, China National Knowledge Infrastructure, Database of Chinese Technical Periodicals, and Chinese Biological Medicine, from their establishment to November 2023. Randomized controlled trials and case-control studies will be included. The primary outcomes are rates of postoperative bleeding and gastric leakage. The secondary outcomes include anastomotic stenosis, surgical site infection, reoperation, estimated intraoperative blood loss, operative time (minutes), length of hospital stay (days), overall complications, and 30-day mortality. The meta-analysis will be conducted using RevMan 5.4 under the random-effects model, as well as through extensive subgroup and sensitivity analyses. P values <0.05 will be considered statistically significant. This study was registered with PROSPERO (Prospective Register of Systematic Reviews) in accordance with the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols).

RESULTS: The results of this study will be published in a peer-reviewed journal. The web-based survey and initial title or abstract review of papers identified by the search strategy will be completed in November 2023. The second round of title or abstract review and downloading of the papers for full-text inclusion will be completed in January 2024. We aim to complete data extraction and meta-analysis by February 2024 and expect to publish the findings by the end of March 2024.

CONCLUSIONS: This study aims to investigate the impact of reinforcement techniques on reducing the incidence of postoperative complications in SG and RYGB procedures and provide assistance for standardizing the procedures of SG and RYGB operations for bariatric surgeons.

TRIAL REGISTRATION: PROSPERO CRD42022376438; https://tinyurl.com/2d53uf8n.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/50677.

PMID:38133924 | DOI:10.2196/50677

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Explainable Artificial Intelligence Warning Model Using an Ensemble Approach for In-Hospital Cardiac Arrest Prediction: Retrospective Cohort Study

J Med Internet Res. 2023 Dec 22;25:e48244. doi: 10.2196/48244.

ABSTRACT

BACKGROUND: Cardiac arrest (CA) is the leading cause of death in critically ill patients. Clinical research has shown that early identification of CA reduces mortality. Algorithms capable of predicting CA with high sensitivity have been developed using multivariate time series data. However, these algorithms suffer from a high rate of false alarms, and their results are not clinically interpretable.

OBJECTIVE: We propose an ensemble approach using multiresolution statistical features and cosine similarity-based features for the timely prediction of CA. Furthermore, this approach provides clinically interpretable results that can be adopted by clinicians.

METHODS: Patients were retrospectively analyzed using data from the Medical Information Mart for Intensive Care-IV database and the eICU Collaborative Research Database. Based on the multivariate vital signs of a 24-hour time window for adults diagnosed with heart failure, we extracted multiresolution statistical and cosine similarity-based features. These features were used to construct and develop gradient boosting decision trees. Therefore, we adopted cost-sensitive learning as a solution. Then, 10-fold cross-validation was performed to check the consistency of the model performance, and the Shapley additive explanation algorithm was used to capture the overall interpretability of the proposed model. Next, external validation using the eICU Collaborative Research Database was performed to check the generalization ability.

RESULTS: The proposed method yielded an overall area under the receiver operating characteristic curve (AUROC) of 0.86 and area under the precision-recall curve (AUPRC) of 0.58. In terms of the timely prediction of CA, the proposed model achieved an AUROC above 0.80 for predicting CA events up to 6 hours in advance. The proposed method simultaneously improved precision and sensitivity to increase the AUPRC, which reduced the number of false alarms while maintaining high sensitivity. This result indicates that the predictive performance of the proposed model is superior to the performances of the models reported in previous studies. Next, we demonstrated the effect of feature importance on the clinical interpretability of the proposed method and inferred the effect between the non-CA and CA groups. Finally, external validation was performed using the eICU Collaborative Research Database, and an AUROC of 0.74 and AUPRC of 0.44 were obtained in a general intensive care unit population.

CONCLUSIONS: The proposed framework can provide clinicians with more accurate CA prediction results and reduce false alarm rates through internal and external validation. In addition, clinically interpretable prediction results can facilitate clinician understanding. Furthermore, the similarity of vital sign changes can provide insights into temporal pattern changes in CA prediction in patients with heart failure-related diagnoses. Therefore, our system is sufficiently feasible for routine clinical use. In addition, regarding the proposed CA prediction system, a clinically mature application has been developed and verified in the future digital health field.

PMID:38133922 | DOI:10.2196/48244

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Developing Mood-Based Computer-Tailored Health Communication for Smoking Cessation: Feasibility Randomized Controlled Trial

JMIR Form Res. 2023 Dec 22;7:e48958. doi: 10.2196/48958.

ABSTRACT

BACKGROUND: Computer-tailored health communication (CTHC), a widely used strategy to increase the effectiveness of smoking cessation interventions, is focused on selecting the best messages for an individual. More recently, CTHC interventions have been tested using contextual information such as participants’ current stress or location to adapt message selection. However, mood has not yet been used in CTCH interventions and may increase their effectiveness.

OBJECTIVE: This study aims to examine the association of mood and smoking cessation message effectiveness among adults who currently smoke cigarettes.

METHODS: In January 2022, we recruited a web-based convenience sample of adults who smoke cigarettes (N=615; mean age 41.13 y). Participants were randomized to 1 of 3 mood conditions (positive, negative, or neutral) and viewed pictures selected from the International Affective Picture System to induce an emotional state within the assigned condition. Participants then viewed smoking cessation messages with topics covering five themes: (1) financial costs or rewards, (2) health, (3) quality of life, (4) challenges of quitting, and (5) motivation or reasons to quit. Following each message, participants completed questions on 3 constructs: message receptivity, perceived relevance, and their motivation to quit. The process was repeated 30 times. We used 1-way ANOVA to estimate the association of the mood condition on these constructs, controlling for demographics, cigarettes per day, and motivation to quit measured during the pretest. We also estimated the association between mood and outcomes for each of the 5 smoking message theme categories.

RESULTS: There was an overall statistically significant effect of the mood condition on the motivation to quit outcome (P=.02) but not on the message receptivity (P=.16) and perceived relevance (P=.86) outcomes. Participants in the positive mood condition reported significantly greater motivation to quit compared with those in the negative mood condition (P=.005). Participants in the positive mood condition reported higher motivation to quit after viewing smoking cessation messages in the financial (P=.03), health (P=.01), quality of life (P=.04), and challenges of quitting (P=.03) theme categories. We also compared each mood condition and found that participants in the positive mood condition reported significantly greater motivation to quit after seeing messages in the financial (P=.01), health (P=.003), quality of life (P=.01), and challenges of quitting (P=.01) theme categories than those in the negative mood condition.

CONCLUSIONS: Our findings suggest that considering mood may be important for future CTHC interventions. Because those in the positive mood state at the time of message exposure were more likely to have greater quitting motivations, smoking cessation CTHC interventions may consider strategies to help improve participants’ mood when delivering these messages. For those in neutral and negative mood states, focusing on certain message themes (health and motivation to quit) may be more effective than other message themes.

PMID:38133916 | DOI:10.2196/48958

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Medical Student Experiences and Perceptions of ChatGPT and Artificial Intelligence: Cross-Sectional Study

JMIR Med Educ. 2023 Dec 22;9:e51302. doi: 10.2196/51302.

ABSTRACT

BACKGROUND: Artificial intelligence (AI) has the potential to revolutionize the way medicine is learned, taught, and practiced, and medical education must prepare learners for these inevitable changes. Academic medicine has, however, been slow to embrace recent AI advances. Since its launch in November 2022, ChatGPT has emerged as a fast and user-friendly large language model that can assist health care professionals, medical educators, students, trainees, and patients. While many studies focus on the technology’s capabilities, potential, and risks, there is a gap in studying the perspective of end users.

OBJECTIVE: The aim of this study was to gauge the experiences and perspectives of graduating medical students on ChatGPT and AI in their training and future careers.

METHODS: A cross-sectional web-based survey of recently graduated medical students was conducted in an international academic medical center between May 5, 2023, and June 13, 2023. Descriptive statistics were used to tabulate variable frequencies.

RESULTS: Of 325 applicants to the residency programs, 265 completed the survey (an 81.5% response rate). The vast majority of respondents denied using ChatGPT in medical school, with 20.4% (n=54) using it to help complete written assessments and only 9.4% using the technology in their clinical work (n=25). More students planned to use it during residency, primarily for exploring new medical topics and research (n=168, 63.4%) and exam preparation (n=151, 57%). Male students were significantly more likely to believe that AI will improve diagnostic accuracy (n=47, 51.7% vs n=69, 39.7%; P=.001), reduce medical error (n=53, 58.2% vs n=71, 40.8%; P=.002), and improve patient care (n=60, 65.9% vs n=95, 54.6%; P=.007). Previous experience with AI was significantly associated with positive AI perception in terms of improving patient care, decreasing medical errors and misdiagnoses, and increasing the accuracy of diagnoses (P=.001, P<.001, P=.008, respectively).

CONCLUSIONS: The surveyed medical students had minimal formal and informal experience with AI tools and limited perceptions of the potential uses of AI in health care but had overall positive views of ChatGPT and AI and were optimistic about the future of AI in medical education and health care. Structured curricula and formal policies and guidelines are needed to adequately prepare medical learners for the forthcoming integration of AI in medicine.

PMID:38133911 | DOI:10.2196/51302

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Initial experience of robotically assisted endometriosis surgery with a novel robotic system: first case series in a tertiary care center

Updates Surg. 2023 Dec 22. doi: 10.1007/s13304-023-01724-z. Online ahead of print.

ABSTRACT

Endometriosis is a benign disease requiring surgery if medical treatment can not achieve symptom control. Laparoscopy remains the gold standard and robotic assistance can be beneficial in complex cases. Robot-assisted radical endometriosis excision using the Hugo™ RAS system is a novel approach. The aim of this study is to describe its setting and outcomes in a series of patients in a robotic surgery center. Endometriosis patients who consecutively underwent robot-assisted surgery with the Hugo™ RAS system (Medtronic, USA) were retrospectively enrolled. Disease-specific symptoms before and after surgery, endometriosis stage, as well as perioperative and intraoperative variables including system setup were collected. Early post-operative complications (< 30 days) and follow-up (up to 3 months) were reported. All procedures were completed robotically. Port placement followed the “bridge” configuration with a “compact” docking. The median operative time was 186.5 min (IQR 174-220), the median estimated blood loss 50 ml (IQR 0-100). An intraoperative complication occurred in one patient (6.6%), a bladder laceration with postoperative antibiotic treatment. The median lenght of hospital stay (LOS) was 3 days (IQR 3-4). Surgery achieved a statistically significant decrease in symptoms: mean dysmenorrhea (9.50 ± 0.83 versus 1.7 ± 2.26; p = 0.001), dyschezia (4.27 ± 3.61 versus 2.40 ± 2.92; p = 0.026), dysuria (2.73 ± 3.39 versus 1.87 ± 2.41; p = 0.358), dyspareunia (6.53 ± 3.15 versus 2.93 ± 2.89; p = 0.002) and chronic pelvic pain (8.8 ± 1.20 versus 3.20 ± 2.39; p = 0.001). The integration of this platform in the described configuration was safe with regular perioperative outcomes and significant improvement in symptoms. Prospective comparative studies with a larger cohort and longer follow-up are needed to assess potential advantages over the current gold standard.

PMID:38133880 | DOI:10.1007/s13304-023-01724-z

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Gaps in Stillbirth Bereavement Care: A Cross-Sectional Survey of U.S. Hospitals by Birth Volume

Matern Child Health J. 2023 Dec 22. doi: 10.1007/s10995-023-03861-8. Online ahead of print.

ABSTRACT

OBJECTIVES: The quality and scope of perinatal bereavement care in the United States has been evaluated by surveying bereaved parents, but little is known about how care varies across hospitals. We sought to survey clinicians about stillbirth bereavement care practices at U.S. hospitals and to evaluate care by hospital birth volume.

METHODS: Using American Hospital Association data, we employed stratified random sampling to select 300 hospitals from all centers with at least 100 annual deliveries. Within each state, we divided all hospitals into size quartiles and randomly selected from each until we reached the goal number per state. We then identified a staff member knowledgeable about typical bereavement care on labor and delivery at each hospital and sent an on-line survey about care. We linked survey data with hospital characteristics and used summary statistics, Chi squared, and Fisher’s Exact test to compare care by hospital birth volume.

RESULTS: We reached an eligible respondent at 429/551 hospitals and 396 of the 429 (73%) agreed to participate. We received 289 usable surveys for an overall response rate of 67%. Only one third of hospitals (n = 96, 33%) reported staff protected time for perinatal bereavement care. Of 17 bereavement topics, just six were routinely offered by at least two-thirds of the hospitals. Financial limitations and staff shortages were the most commonly identified barriers to care and were most pronounced at small-volume hospitals.

CONCLUSIONS FOR PRACTICE: This study offers a snapshot in bereavement care and identified important gaps for both large and small hospitals.

PMID:38133867 | DOI:10.1007/s10995-023-03861-8