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Nevin Manimala Statistics

Pass or Fail? Postoperative Active Voiding Trials in an Enhanced Recovery Program

Female Pelvic Med Reconstr Surg. 2022 Apr 24. doi: 10.1097/SPV.0000000000001189. Online ahead of print.

ABSTRACT

IMPORTANCE: Pelvic reconstructive surgery is often associated with transient postoperative voiding dysfunction.

OBJECTIVE: This study aimed to compare postoperative active voiding trial (AVT) outcomes before and after implementation of an enhanced recovery program (ERP) for women undergoing pelvic reconstructive surgery. In addition, risk factors for postoperative urinary retention were identified.

STUDY DESIGN: We retrospectively identified patients undergoing inpatient vaginal or robotic pelvic reconstructive surgery before and after implementation of an ERP at our institution. Demographics, operative and postoperative details, and AVT outcomes were collected. Primary outcome was AVT failure. Variables associated with increased risk of AVT failure were identified using multivariate analysis.

RESULTS: Three hundred seventeen patients were included-75 pre-ERP and 242 ERP. There was no difference in AVT failures between pre-ERP and ERP groups (21.3% vs 21.9%, P = 0.92). The AVT failures were highest among those with abnormal preoperative postvoid residual volume (PVR ≥100 mL, 25.9% vs 12.2%, P = 0.01) and those who underwent an incontinence procedure (midurethral sling or Kelly plication, 30.4% vs 16.9%, P = 0.01). Compared with a reference procedure (total vaginal hysterectomy [TVH]), the following procedures were associated with statistically significant higher odds ratios (ORs) of AVT failure: TVH with incontinence procedure (OR, 15.0; confidence interval [CI], 4.58-48.9; P < 0.001), TVH with anterior repair (OR, 4.98; CI, 1.93-12.9; P = 0.001), and robotic sacrocolpopexy (OR, 3.6; CI, 1.18-11.2; P = 0.02).

CONCLUSIONS: Postoperative AVT failure incidence did not differ pre- and post-ERP intervention. Abnormal preoperative PVR was associated with failed postoperative voiding trial. Concomitant incontinence procedures and/or anterior colporrhaphy were associated with increased incidence of voiding trial failure regardless of ERP cohort.

PMID:35536662 | DOI:10.1097/SPV.0000000000001189

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Efficacy of Various Low Temperature and Exposure Time Combinations for Thaumatotibia leucotreta (Meyrick) (Lepidoptera: Tortricidae) Larvae

J Econ Entomol. 2022 May 10:toac064. doi: 10.1093/jee/toac064. Online ahead of print.

ABSTRACT

A systems approach was developed as an alternative to a standalone quarantine disinfestation treatment for Thaumatotibia leucotreta in citrus fruit exported from South Africa. The systems approach consists of three measures: pre and postharvest controls and measurements, postpacking inspection, and postharvest exposure to low temperatures. Different cold treatment conditions with a range of efficacy levels can be used for this last measure. A series of trials reported here evaluated the efficacy of seven temperatures ranging from 0 to 5°C for durations from 14 d to 26 d. Mortality of the most cold-tolerant larval stages of T. leucotreta was determined. Temperatures of 0, 1, 2, and 3°C for 16, 19, 20, and 24 d respectively, induced 100% mortality of the tested populations. Probit 9 level treatment efficacy was achieved at 0 and 1°C for 16 and 19 d respectively. Mortalities higher than 90% were obtained with temperatures of 4, 4.5, and 5°C, after exposure for the longer durations. We demonstrated a significant difference in cold-induced insecticidal efficacy between 1, 2, 3, and 4°C. There was no significant difference in insecticidal efficacy between 4 and 4.5°C, but both of these temperatures were more efficacious than 5°C. The results of this study are valuable to support the use of cold treatment conditions with lower risk of fruit chilling injury in an effective systems approach, where the cold treatment efficacy can be augmented with other components of the systems approach.

PMID:35536661 | DOI:10.1093/jee/toac064

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Ion-Pairing Chromatography and Amine Derivatization Provide Complementary Approaches for the Targeted LC-MS Analysis of the Polar Metabolome

J Proteome Res. 2022 May 10. doi: 10.1021/acs.jproteome.2c00030. Online ahead of print.

ABSTRACT

Liquid chromatography coupled to mass spectrometry is a key metabolomics/metabonomics technology. Reversed-phase liquid chromatography (RPLC) is very widely used as a separation step, but typically has poor retention of highly polar metabolites. Here, we evaluated the combination of two alternative methods for improving retention of polar metabolites based on 6-aminoquinoloyl-N-hydroxysuccinidimyl carbamate derivatization for amine groups, and ion-pairing chromatography (IPC) using tributylamine as an ion-pairing agent to retain acids. We compared both of these methods to RPLC and also to each other, for targeted analysis using a triple-quadrupole mass spectrometer, applied to a library of ca. 500 polar metabolites. IPC and derivatization were complementary in terms of their coverage: combined, they improved the proportion of metabolites with good retention to 91%, compared to just 39% for RPLC alone. The combined method was assessed by analyzing a set of liver extracts from aged male and female mice that had been treated with the polyphenol compound ampelopsin. Not only were a number of significantly changed metabolites detected, but also it could be shown that there was a clear interaction between ampelopsin treatment and sex, in that the direction of metabolite change was opposite for males and females.

PMID:35536659 | DOI:10.1021/acs.jproteome.2c00030

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Virtual Reality Applications in Chronic Pain Management: Systematic Review and Meta-analysis

JMIR Serious Games. 2022 May 10;10(2):e34402. doi: 10.2196/34402.

ABSTRACT

BACKGROUND: Virtual reality (VR) is a computer technology that immerses a user in a completely different reality. The application of VR in acute pain settings is well established. However, in chronic pain, the applications and outcome parameters influenced by VR are less clear.

OBJECTIVE: This review aimed to systematically identify all outcome parameters that are reported in relation to VR in patients with chronic pain.

METHODS: A total of 4 electronic databases (PubMed, Scopus, Web of Science, and Embase) were searched for relevant studies. Multilevel random-effect meta-analyses were performed, whereby the standardized mean difference was chosen as the effect size to denote the difference between measurements before and after a VR intervention.

RESULTS: The initial database search identified 1430 studies, of which 41 (2.87%) were eventually included in the systematic review. Evidence has been found for the effects of VR on pain, functioning, mobility, functional capacity, psychological outcomes, quality of life, neuropsychological outcomes, and physical sensations. The overall effect size (a total of 194 effect sizes from 25 studies) based on a three level meta-analysis was estimated at 1.22 (95% CI 0.55-1.89; z=3.56; P<.001), in favor of improvements after a VR intervention. When categorizing effect sizes, the overall effect sizes were reported as follows: 1.60 (95% CI 0.83-2.36; z=4.09; P<.001) for the effect of VR on pain (n=31), 1.40 (95% CI 0.13-2.67; z=2.17; P=.03) for functioning (n=60), 0.49 (95% CI -0.71 to 1.68; z=0.80; P=.42) for mobility (n=24), and 0.34 (95% CI -1.52 to 2.20; z=0.36; P=.72) for functional capacity (n=21).

CONCLUSIONS: This systematic review revealed a broad range of outcome variables influenced by an intervention of VR technology, with statistically significant pain relief and improvements in functioning. These findings indicate that VR not only has applications in acute pain management but also in chronic pain settings, whereby VR might be able to become a promising first-line intervention as complementary therapy for patients with chronic pain.

TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42021227016; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=227016.

PMID:35536641 | DOI:10.2196/34402

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Nonusage Attrition of Adolescents in an mHealth Promotion Intervention and the Role of Socioeconomic Status: Secondary Analysis of a 2-Arm Cluster-Controlled Trial

JMIR Mhealth Uhealth. 2022 May 10;10(5):e36404. doi: 10.2196/36404.

ABSTRACT

BACKGROUND: Mobile health (mHealth) interventions may help adolescents adopt healthy lifestyles. However, attrition in these interventions is high. Overall, there is a lack of research on nonusage attrition in adolescents, particularly regarding the role of socioeconomic status (SES).

OBJECTIVE: The aim of this study was to focus on the role of SES in the following three research questions (RQs): When do adolescents stop using an mHealth intervention (RQ1)? Why do they report nonusage attrition (RQ2)? Which intervention components (ie, self-regulation component, narrative, and chatbot) prevent nonusage attrition among adolescents (RQ3)?

METHODS: A total of 186 Flemish adolescents (aged 12-15 years) participated in a 12-week mHealth program. Log data were monitored to measure nonusage attrition and usage duration for the 3 intervention components. A web-based questionnaire was administered to assess reasons for attrition. A survival analysis was conducted to estimate the time to attrition and determine whether this differed according to SES (RQ1). Descriptive statistics were performed to map the attrition reasons, and Fisher exact tests were used to determine if these reasons differed depending on the educational track (RQ2). Mixed effects Cox proportional hazard regression models were used to estimate the associations between the use duration of the 3 components during the first week and attrition. An interaction term was added to the regression models to determine whether associations differed by the educational track (RQ3).

RESULTS: After 12 weeks, 95.7% (178/186) of the participants stopped using the app. 30.1% (56/186) of the adolescents only opened the app on the installation day, and 44.1% (82/186) stopped using the app in the first week. Attrition at any given time during the intervention period was higher for adolescents from the nonacademic educational track compared with those from the academic track. The other SES indicators (family affluence and perceived financial situation) did not explain attrition. The most common reasons for nonusage attrition among participants were perceiving that the app did not lead to behavior change, not liking the app, thinking that they already had a sufficiently healthy lifestyle, using other apps, and not being motivated by the environment. Attrition reasons did not differ depending on the educational track. More time spent in the self-regulation and narrative components during the first week was associated with lower attrition, whereas chatbot use duration was not associated with attrition rates. No moderating effects of SES were observed in the latter association.

CONCLUSIONS: Nonusage attrition was high, especially among adolescents in the nonacademic educational track. The reported reasons for attrition were diverse, with no statistical differences according to the educational level. The duration of the use of the self-regulation and narrative components during the first week may prevent attrition for both educational tracks.

TRIAL REGISTRATION: ClinicalTrials.gov NCT04719858; http://clinicaltrials.gov/ct2/show/NCT04719858.

PMID:35536640 | DOI:10.2196/36404

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Nevin Manimala Statistics

Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation

JMIR Med Inform. 2022 May 10;10(5):e38241. doi: 10.2196/38241.

ABSTRACT

BACKGROUND: Machine learning (ML) achieves better predictions of postoperative mortality than previous prediction tools. Free-text descriptions of the preoperative diagnosis and the planned procedure are available preoperatively. Because reading these descriptions helps anesthesiologists evaluate the risk of the surgery, we hypothesized that deep learning (DL) models with unstructured text could improve postoperative mortality prediction. However, it is challenging to extract meaningful concept embeddings from this unstructured clinical text.

OBJECTIVE: This study aims to develop a fusion DL model containing structured and unstructured features to predict the in-hospital 30-day postoperative mortality before surgery. ML models for predicting postoperative mortality using preoperative data with or without free clinical text were assessed.

METHODS: We retrospectively collected preoperative anesthesia assessments, surgical information, and discharge summaries of patients undergoing general and neuraxial anesthesia from electronic health records (EHRs) from 2016 to 2020. We first compared the deep neural network (DNN) with other models using the same input features to demonstrate effectiveness. Then, we combined the DNN model with bidirectional encoder representations from transformers (BERT) to extract information from clinical texts. The effects of adding text information on the model performance were compared using the area under the receiver operating characteristic curve (AUROC) and the area under the precision-recall curve (AUPRC). Statistical significance was evaluated using P<.05.

RESULTS: The final cohort contained 121,313 patients who underwent surgeries. A total of 1562 (1.29%) patients died within 30 days of surgery. Our BERT-DNN model achieved the highest AUROC (0.964, 95% CI 0.961-0.967) and AUPRC (0.336, 95% CI 0.276-0.402). The AUROC of the BERT-DNN was significantly higher compared to logistic regression (AUROC=0.952, 95% CI 0.949-0.955) and the American Society of Anesthesiologist Physical Status (ASAPS AUROC=0.892, 95% CI 0.887-0.896) but not significantly higher compared to the DNN (AUROC=0.959, 95% CI 0.956-0.962) and the random forest (AUROC=0.961, 95% CI 0.958-0.964). The AUPRC of the BERT-DNN was significantly higher compared to the DNN (AUPRC=0.319, 95% CI 0.260-0.384), the random forest (AUPRC=0.296, 95% CI 0.239-0.360), logistic regression (AUPRC=0.276, 95% CI 0.220-0.339), and the ASAPS (AUPRC=0.149, 95% CI 0.107-0.203).

CONCLUSIONS: Our BERT-DNN model has an AUPRC significantly higher compared to previously proposed models using no text and an AUROC significantly higher compared to logistic regression and the ASAPS. This technique helps identify patients with higher risk from the surgical description text in EHRs.

PMID:35536634 | DOI:10.2196/38241

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Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation

J Med Internet Res. 2022 May 10;24(5):e31810. doi: 10.2196/31810.

ABSTRACT

BACKGROUND: Symptom checkers are digital tools assisting laypersons in self-assessing the urgency and potential causes of their medical complaints. They are widely used but face concerns from both patients and health care professionals, especially regarding their accuracy. A 2015 landmark study substantiated these concerns using case vignettes to demonstrate that symptom checkers commonly err in their triage assessment.

OBJECTIVE: This study aims to revisit the landmark index study to investigate whether and how symptom checkers’ capabilities have evolved since 2015 and how they currently compare with laypersons’ stand-alone triage appraisal.

METHODS: In early 2020, we searched for smartphone and web-based applications providing triage advice. We evaluated these apps on the same 45 case vignettes as the index study. Using descriptive statistics, we compared our findings with those of the index study and with publicly available data on laypersons’ triage capability.

RESULTS: We retrieved 22 symptom checkers providing triage advice. The median triage accuracy in 2020 (55.8%, IQR 15.1%) was close to that in 2015 (59.1%, IQR 15.5%). The apps in 2020 were less risk averse (odds 1.11:1, the ratio of overtriage errors to undertriage errors) than those in 2015 (odds 2.82:1), missing >40% of emergencies. Few apps outperformed laypersons in either deciding whether emergency care was required or whether self-care was sufficient. No apps outperformed the laypersons on both decisions.

CONCLUSIONS: Triage performance of symptom checkers has, on average, not improved over the course of 5 years. It decreased in 2 use cases (advice on when emergency care is required and when no health care is needed for the moment). However, triage capability varies widely within the sample of symptom checkers. Whether it is beneficial to seek advice from symptom checkers depends on the app chosen and on the specific question to be answered. Future research should develop resources (eg, case vignette repositories) to audit the capabilities of symptom checkers continuously and independently and provide guidance on when and to whom they should be recommended.

PMID:35536633 | DOI:10.2196/31810

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Parental Knowledge, Self-confidence, and Usability Evaluation of a Web-Based Infographic for Pediatric Concussion: Multimethod Study

JMIR Pediatr Parent. 2022 May 10;5(2):e36317. doi: 10.2196/36317.

ABSTRACT

BACKGROUND: Concussions, which are known as mild traumatic brain injuries, are complex injuries caused by direct or indirect blows to the head and are increasingly being recognized as a significant public health concern for children and their families. Previous research has identified few studies examining the efficacy of educational interventions on parental concussion knowledge. The aim of this research was to actively work together with children who have experienced a concussion and their parents to develop, refine, and evaluate the usability of a web-based infographic for pediatric concussion.

OBJECTIVE: The objective of this study was to report on the usability of the infographic, parental knowledge, and self-confidence in pediatric concussion knowledge before and after exposure to the infographic.

METHODS: A multiphase, multimethod research design using patient engagement techniques was used to develop a web-based infographic. For this phase of the research (usability, knowledge, and confidence evaluation), parents who could communicate in English were recruited via social media platforms and invited to complete web-based questionnaires. Electronic preintervention and postintervention questionnaires were administered to parents to assess changes to concussion knowledge and confidence after viewing the infographic. A usability questionnaire with 11 items was also completed.

RESULTS: A web-based, infographic was developed. The infographic is intended for parents and children and incorporates information that parents and children identified as both wants and needs about concussion alongside the best available research evidence on pediatric concussion. A total of 31 surveys were completed by parents. The mean scores for each item on the usability surveys ranged from 8.03 (SD 1.70) to 9.26 (SD 1.09) on a 10-point Likert scale, indicating that the usability components of the infographic were largely positive. There was no statistically significant difference between preintervention and postintervention knowledge scores (Z=-0.593; P=.55; both preintervention and postintervention knowledge scores had a median of 9 out of 10). In contrast, there was a statistically significant difference between preintervention (mean 3.9/5, SD 0.56) and postintervention (mean 4.4/5, SD 0.44) confidence in knowledge scores (t30=-5.083; P<.001).

CONCLUSIONS: Our results demonstrate that parents positively rated a web-based, infographic for pediatric concussion. In addition, although there was no statistically significant difference overall in parents’ knowledge scores before and after viewing the infographic, their confidence in their knowledge did significantly increase. These results suggest that using a web-based infographic as a knowledge translation intervention may be useful in increasing parents’ confidence in managing their child’s concussion.

PMID:35536631 | DOI:10.2196/36317

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Assessing Family Medicine Physicians’ Perceptions of Integrated Behavioral Health in a Primary Care Residency

Fam Med. 2022 May;54(5):389-394. doi: 10.22454/FamMed.2022.541800.

ABSTRACT

BACKGROUND AND OBJECTIVES: Physicians are increasingly confronted with patients’ interrelated psychosocial and physiological issues. To assist physicians in managing the psychosocial needs of patients, integrated behavioral health (IBH) has become increasingly common. This study was completed in a large, Midwestern family medicine residency program where the authors sought to (1) identify physicians’ perceptions of IBH implementation and areas of needed IBH improvement, and (2) recognize educational needs to be addressed when providing behavioral health training to resident physicians.

METHODS: The authors utilized a pre/post design to measure physician perception of access and quality of an integrated behavioral health program. For quantitative data, we performed standard descriptive statistics, likelihood ratio χ2 tests, independent sample t test, and linear mixed-model analysis. For qualitative data, we completed phenomenological analysis, derived from a focus group.

RESULTS: Physician satisfaction with access and quality of behavioral health services significantly improved after the implementation of the IBH (P&lt;.01). Perception of behavioral health management also improved, including the commitment of the residency program to mental health well-being, benefit from consultations with BHPs, and physician ownership of managing patients’ mental health needs. Themes from the focus group indicated a desire for increased communication with BHPs, as well as additional assessment and intervention skills to manage psychiatric disorders.

CONCLUSIONS: Family physicians value IBH in supporting patients’ behavioral health treatment, and resident physicians hone behavioral health management skills through collaborating with BHPs and completing behavioral health training. Residencies should increase focus on teaching essential skills in behavioral health management.

PMID:35536625 | DOI:10.22454/FamMed.2022.541800

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Student Perceptions and Use of Social Media as Residency Program Information

Fam Med. 2022 May;54(5):380-383. doi: 10.22454/FamMed.2022.968351.

ABSTRACT

BACKGROUND AND OBJECTIVES: Virtual residency interviews during the 2020 COVID-19 pandemic posed unique challenges to students and residency programs in the United States. We evaluated fourth-year medical students’ perceptions of the virtual format and social media use to help select residency programs. We also assessed applicant utilization and perceived usefulness of our social media content.

METHODS: We administered an anonymous, web-based survey study of interviewees at an urban, academic medical center residency program. We analyzed data using descriptive statistics.

RESULTS: Seventy-five of 138 applicants completed the survey (response rate 54%). Most applicants reported worry about obtaining enough information about residency programs to apply (64%) and to rank programs (87%). Though more traditional information sources remain most prevalent, social media is now widely used to research residency programs (62%).

CONCLUSIONS: Most applicants to this family medicine residency program used social media to gather information, but they expressed worry that it was enough. Virtual interviews are likely to remain postpandemic, creating challenges for residency programs and especially for their hopeful applicants. Programs seeking to provide well-rounded information for applicants should maintain a social media presence as part of their recruitment practices.

PMID:35536623 | DOI:10.22454/FamMed.2022.968351