Nevin Manimala

Clin Transplant. 2023 Nov 3:e15177. doi: 10.1111/ctr.15177. Online ahead of print.

ABSTRACT

INTRODUCTION: Inpatient hyperglycemia is an established independent risk factor among several patient cohorts for hospital readmission. This has not been studied after kidney transplantation. Nearly one-third of patients who have undergone a kidney transplant reportedly experience 30-day readmission.

METHODS: Data on first-time solitary kidney transplantations were retrieved between September 2015 and December 2018. Information was linked to the electronic health records to determine diagnosis of diabetes mellitus and extract glucometric and insulin therapy data. Univariate logistic regression analysis and the XGBoost algorithm were used to predict 30-day readmission. We report the average performance of the models on the testing set on bootstrapped partitions of the data to ensure statistical significance.

RESULTS: The cohort included 1036 patients who received kidney transplantation; 224 (22%) experienced 30-day readmission. The machine learning algorithm was able to predict 30-day readmission with an average area under the receiver operator curve (AUC) of 78% with (76.1%, 79.9%) 95% confidence interval (CI). We observed statistically significant differences in the presence of pretransplant diabetes, inpatient-hyperglycemia, inpatient-hypoglycemia, minimum and maximum glucose values among those with higher 30-day readmission rates. The XGBoost model identified the index admission length of stay, presence of hyper- and hypoglycemia, the recipient and donor body mass index (BMI) values, presence of delayed graft function, and African American race as the most predictive risk factors of 30-day readmission. Additionally, significant variations in the therapeutic management of blood glucose by providers were observed.

CONCLUSIONS: Suboptimal glucose metrics during hospitalization after kidney transplantation are associated with an increased risk for 30-day hospital readmission. Optimizing hospital blood glucose management, a modifiable factor, after kidney transplantation may reduce the risk of 30-day readmission.

PMID:37922214 | DOI:10.1111/ctr.15177

IEEE Trans Vis Comput Graph. 2023 Nov 3;PP. doi: 10.1109/TVCG.2023.3327203. Online ahead of print.

ABSTRACT

Modern science and industry rely on computational models for simulation, prediction, and data analysis. Spatial blind source separation (SBSS) is a model used to analyze spatial data. Designed explicitly for spatial data analysis, it is superior to popular non-spatial methods, like PCA. However, a challenge to its practical use is setting two complex tuning parameters, which requires parameter space analysis. In this paper, we focus on sensitivity analysis (SA). SBSS parameters and outputs are spatial data, which makes SA difficult as few SA approaches in the literature assume such complex data on both sides of the model. Based on the requirements in our design study with statistics experts, we developed a visual analytics prototype for data type agnostic visual sensitivity analysis that fits SBSS and other contexts. The main advantage of our approach is that it requires only dissimilarity measures for parameter settings and outputs (Fig. 1). We evaluated the prototype heuristically with visualization experts and through interviews with two SBSS experts. In addition, we show the transferability of our approach by applying it to microclimate simulations. Study participants could confirm suspected and known parameter-output relations, find surprising associations, and identify parameter subspaces to examine in the future. During our design study and evaluation, we identified challenging future research opportunities.

PMID:37922175 | DOI:10.1109/TVCG.2023.3327203

IEEE J Biomed Health Inform. 2023 Nov 3;PP. doi: 10.1109/JBHI.2023.3323533. Online ahead of print.

ABSTRACT

The assessment of implant status and complications of Total Hip Replacement (THR) relies mainly on the clinical evaluation of the X-ray images to analyse the implant and the surrounding rigid structures. Current clinical practise depends on the manual identification of important landmarks to define the implant boundary and to analyse many features in arthroplasty X-ray images, which is time-consuming and could be prone to human error. Semantic segmentation based on the Convolutional Neural Network (CNN) has demonstrated successful results in many medical segmentation tasks. However, these networks cannot define explicit properties that lead to inaccurate segmentation, especially with the limited size of image datasets. Our work integrates clinical knowledge with CNN to segment the implant and detect important features simultaneously. This is instrumental in the diagnosis of complications of arthroplasty, particularly for loose implant and implant-closed bone fractures, where the location of the fracture in relation to the implant must be accurately determined. In this work, we define the points of interest using Gruen zones that represent the interface of the implant with the surrounding bone to build a Statistical Shape Model (SSM). We propose a multitask CNN that combines regression of pose and shape parameters constructed from the SSM and semantic segmentation of the implant. This integrated approach has improved the estimation of implant shape, from 74% to 80% dice score, making segmentation realistic and allowing automatic detection of Gruen zones. To train and evaluate our method, we generated a dataset of annotated hip arthroplasty X-ray images that will be made available.

PMID:37922163 | DOI:10.1109/JBHI.2023.3323533

J Robot Surg. 2023 Nov 3. doi: 10.1007/s11701-023-01671-2. Online ahead of print.

ABSTRACT

The surgical management of rectal cancer is shifting toward more widespread use of robotics across a spectrum of medical centers. There is evidence that the oncologic outcomes are equivalent to laparoscopic resections, and the post-operative outcomes may be improved. This study aims to evaluate the learning curve of robotic rectal cancer resections at a community-based teaching institution and evaluate clinical and oncologic outcomes. A retrospective review of consecutive robotic rectal cancer resections by a single surgeon was performed for a five-year period. The cumulative sum (CUSUM) for total operative time was calculated and plotted to establish a learning curve. The oncologic and post-operative outcomes for each phase were analyzed and compared. The CUSUM learning curve yielded two phases, the learning phase (cases 1-79) and the proficiency phase (cases 80-130). The median operative time was significantly lower in the proficiency phase. The type of neoadjuvant therapy used between the two groups was statistically different, with chemoradiation being the primary regimen in the learning phase and total neoadjuvant therapy being more common in the proficiency phase. Otherwise, oncologic and overall post-operative outcomes were not significantly different between the groups. Robotic rectal resections can be done in a community-based hospital system by trained surgeons with outcomes that are favorable and similar to larger institutions.

PMID:37922066 | DOI:10.1007/s11701-023-01671-2

Matern Child Health J. 2023 Nov 3. doi: 10.1007/s10995-023-03833-y. Online ahead of print.

ABSTRACT

INTRODUCTION: At the outbreak of infectious diseases, the response of different communities to the disease varies, and children are most affected by the collective anxiety and grief that consequently arises. In this research, the behavior of children and their parents in terms of hygiene and precautions before and during the COVID-19 pandemic was investigated.

METHODOLOGY: The focus of the present research was on sanitation facilities, particularly access to end-use of water for hand washing. The research was conducted in Barika Camp, Kurdistan, Iraq and 311 parents and children were interviewed. A data collection team consisting of two females and one male was responsible for gathering data, primarily from women who served as the main respondents. Questionnaires consisted of three main parts: demography, COVID-19 pandemic effects, and sanitary shelter specifications.

RESULT: The results demonstrated that the behavior of refugees during the COVID-19 pandemic regarding the priority of child protection, type of disinfectants, and water consumption has significantly altered. These changes mainly depended on the women’s age and education level.

DISCUSSION: Overall results showed that in 61.09% of the participants, the number of hand washes and in 58.58%, the washing time increased, leading to water shortage in the refugee camp.

PMID:37922059 | DOI:10.1007/s10995-023-03833-y

Matern Child Health J. 2023 Nov 3. doi: 10.1007/s10995-023-03808-z. Online ahead of print.

ABSTRACT

OBJECTIVE: This study is designed to explore associated sociodemographic, birth-related and household characteristics with preterm birth (< 37 weeks) among Turkish and Syrian refugee women.

METHODS: The data utilized in this study were obtained from the Turkey Demographic and Health Survey (TDHS) conducted in 2018. Various statistical analyses, including descriptive statistics, independent sample t-tests, and Chi-square tests, were employed to examine the differences in study variables between Turkish and Syrian refugee women. Furthermore, logistic regression analysis was conducted to identify the associated factors with preterm birth among Turkish and Syrian refugee women, allowing for comparative analysis.

RESULTS: The key findings of this study revealed significant differences in sociodemographic (p < 0.05), birth-related (p < 0.05), and household characteristics (p < 0.05) that are associated with preterm birth among Turkish and Syrian refugee women. Also, nationality (OR: 3.427; 95% CI 2.770-4.241), delivery by c-section (OR: 1.630; 95% CI 1.370-1.939), educational status (OR: 0.674; 95% CI 0.547-0.832), place of delivery (OR: 0.806; 95% CI 0.666-0.975), and number of household members (OR: 1.206; 95% CI 1.013-1.437) were found to be important factors associated with preterm birth risk.

CONCLUSIONS: The key findings of this study contribute to the identification of women’s factors in preterm birth. By understanding the factors that contribute to preterm birth among both Syrian refugee and Turkish women, appropriate interventions can be developed to improve maternal and child health outcomes.

PMID:37922057 | DOI:10.1007/s10995-023-03808-z

J Med Internet Res. 2023 Nov 3;25:e40710. doi: 10.2196/40710.

ABSTRACT

BACKGROUND: The COVID-19 pandemic necessitated rapid changes to health care delivery, including a shift from in-person to digitally delivered psychotherapy. While these changes helped ensure timely psychotherapy provision, many concerns exist, including clinical, cultural, practical, privacy, and security issues.

OBJECTIVE: This scoping review systematically mapped existing peer-reviewed research on synchronous, therapist-delivered web-based psychotherapy for individuals with a diagnosed mental illness. Data were analyzed through the lens of the Alberta Quality Matrix for Health (AQMH) to assess to what degree this literature addresses key indicators of health care quality. This analysis aided in the identification and organization of knowledge gaps with regard to web-based psychotherapies, highlighting potential disparities between previously prioritized dimensions of care and those requiring further attention.

METHODS: This review adhered to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines. We included peer-reviewed primary research studies in the English language investigating synchronous, therapist-delivered remote psychotherapy delivered to adults (aged 18 years and older) with a Diagnostic and Statistical Manual of Mental Disorders or International Statistical Classification of Diseases diagnosed mental illness. All other citations were excluded. Relevant studies were identified through MEDLINE, APA PsycINFO, Embase (OVID), Web of Science: Core Collection (Clarivate), Cochrane Library (Wiley), and Scopus (Elsevier) databases. Databases were searched on March 18, 2021. For every publication that was taken into consideration, the data were charted independently by 2 reviewers, and in the event of a discrepancy, the principal investigator validated the choice of either extractor. Results were thematically described according to the 6 AQMH dimensions: acceptability, accessibility, appropriateness, effectiveness, efficiency, and safety.

RESULTS: From 13,209 publications, 48 articles were included, largely from North American studies. Most studies measured treatment effectiveness (n=48, 100%) and acceptability (n=29, 60%) health quality dimensions. Over 80% (40/48) of studies investigated either a cognitive or exposure intervention for either posttraumatic stress disorder or a mood or anxiety disorder, generally indicating comparable results to in-person therapy. Safety (n=5, 10%) was measured in fewer studies, while treatment accessibility, appropriateness, and efficiency were not explicitly measured in any study, although these dimensions were mentioned as a future direction, hypothesis, or potential outcome.

CONCLUSIONS: In relation to web-based therapist-delivered psychotherapies for those with a diagnosed mental illness, important aspects of health care quality (accessibility, appropriateness, efficiency, and safety) have received little scientific examination, underscoring a need to address these gaps. There are also significant issues related to the generalizability of this literature, including the underrepresentation of many geographic regions, cultures, populations, clinical contexts, and psychotherapy modalities. Qualitative research in underrepresented populations and settings may uncover important patient and contextual factors important for the future implementation of quality web-based psychotherapy.

PMID:37921863 | DOI:10.2196/40710

Sex Transm Dis. 2023 Oct 30. doi: 10.1097/OLQ.0000000000001894. Online ahead of print.

ABSTRACT

BACKGROUND: Expedited partner therapy prescription remains low and highly variable throughout the United States, leading to frequent reinfections with Chlamydia trachomatis and Neisseria gonorrhea. We examined provider counseling on expedited partner therapy before and after an electronic smart tools-based initiative.

METHODS: In this quasi-experimental interrupted time series study, we implemented an initiative of electronic smart tools and education for expedited partner therapy in March 2020. We reviewed the records of patients with chlamydia and/or gonorrhea at an urban, academic obstetrics and gynecology clinic in the pre-implementation (March 2019-February 2020) and post-implementation (March 2020-February 2021) groups. Descriptive statistics and an interrupted time-series model were used to compare the percent of expedited partner therapy offered by clinicians to patients in each group.

RESULTS: A total of 287 patient encounters were analyzed, 155 pre-intervention and 132 post-intervention. An increase in expedited partner therapy counseling of 13% (95% CI: 2-24%) was observed pre-intervention (27.1%; 42/155) versus post-intervention (40.2%; 53/132). Significant increases in provider counseling were seen for patients who were single (15%; 95% CI: 3-26%), ≥ 25 years old (21%; 95% CI: 6-37%), receiving public insurance (15%; 95% CI: 3-27%), seen by a registered nurse (18%; 95% CI: 4-32%), or seen for an obstetrics indication (21%; 95% CI: 4-39%). No difference was seen in patients’ acceptance of expedited partner therapy (p = 1.00).

CONCLUSIONS: A multi-component initiative focused on electronic smart tools is effective at increasing provider counseling on expedited partner therapy. Further research to understand patient perceptions and acceptance of expedited partner therapy is critical.

PMID:37921862 | DOI:10.1097/OLQ.0000000000001894

J Med Internet Res. 2023 Nov 3;25:e47841. doi: 10.2196/47841.

ABSTRACT

BACKGROUND: Previous research reports that patients with mental health conditions experience benefits, for example, increased empowerment and validation, from reading their patient-accessible electronic health records (PAEHRs). In mental health care (MHC), PAEHRs remain controversial, as health care professionals are concerned that patients may feel worried or offended by the content of the notes. Moreover, existing research has focused on specific mental health diagnoses, excluding the larger PAEHR userbase with experience in MHC.

OBJECTIVE: The objective of this study is to establish if and how the experiences of patients with and those without MHC differ in using their PAEHRs by (1) comparing patient characteristics and differences in using the national patient portal between the 2 groups and (2) establishing group differences in the prevalence of negative experiences, for example, rates of errors, omissions, and offenses between the 2 groups.

METHODS: Our analysis was performed on data from an online patient survey distributed through the Swedish national patient portal as part of our international research project, NORDeHEALTH. The respondents were patient users of the national patient portal 1177, aged 15 years or older, and categorized either as those with MHC experience or with any other health care experience (nonmental health care [non-MHC]). Patient characteristics such as gender, age, education, employment, and health status were gathered. Portal use characteristics included frequency of access, encouragement to read the record, and instances of positive and negative experiences. Negative experiences were further explored through rates of error, omission, and offense. The data were summarized through descriptive statistics. Group differences were analyzed through Pearson chi-square.

RESULTS: Of the total sample (N=12,334), MHC respondents (n=3131) experienced errors (1586/3131, 50.65%, and non-MHC 3311/9203, 35.98%), omissions (1089/3131, 34.78%, and non-MHC 2427/9203, 26.37%) and offenses (1183/3131, 37.78%, and non-MHC 1616/9203, 17.56%) in the electronic health record at a higher rate than non-MHC respondents (n=9203). Respondents reported that the identified error (MHC 795/3131, 50.13%, and non-MHC 1366/9203, 41.26%) and omission (MHC 622/3131, 57.12%, and non-MHC 1329/9203, 54.76%) were “very important,” but most did nothing to correct them (MHC 792/3131, 41.29%, and non-MHC 1838/9203, 42.17%). Most of the respondents identified as women in both groups.

CONCLUSIONS: About 1 in 2 MHC patients identified an error in the record, and about 1 in 3 identified an omission, both at a much higher rate than in the non-MHC group. Patients with MHC also felt offended by the content of the notes more commonly (1 in 3 vs 1 in 6). These findings validate some of the worries expressed by health care professionals about providing patients with MHC with PAEHRs and highlight challenges with the documentation quality in the records.

PMID:37921861 | DOI:10.2196/47841

JMIR Perioper Med. 2023 Nov 3;6:e44139. doi: 10.2196/44139.

ABSTRACT

BACKGROUND: Enhanced recovery after surgery (ERAS) protocols are patient-centered, evidence-based guidelines for peri-, intra-, and postoperative management of surgical candidates that aim to decrease operative complications and facilitate recovery after surgery. Anesthesia providers can use these protocols to guide decision-making and standardize aspects of their anesthetic plan in the operating room.

OBJECTIVE: Research across multiple disciplines has demonstrated that clinical decision support systems have the potential to improve protocol adherence by reminding providers about departmental policies and protocols via notifications. There remains a gap in the literature about whether clinical decision support systems can improve patient outcomes by improving anesthesia providers’ adherence to protocols. Our hypothesis is that the implementation of an electronic notification system to anesthesia providers the day prior to scheduled breast surgeries will increase the use of the already existing but underused ERAS protocols.

METHODS: This was a single-center prospective cohort study conducted between October 2017 and August 2018 at an urban academic medical center. After obtaining approval from the institutional review board, anesthesia providers assigned to major breast surgery cases were identified. Patient data were collected pre- and postimplementation of an electronic notification system that sent the anesthesia providers an email reminder of the ERAS breast protocol the night before scheduled surgeries. Each patient’s record was then reviewed to assess the frequency of adherence to the various ERAS protocol elements.

RESULTS: Implementation of an electronic notification significantly improved overall protocol adherence and several preoperative markers of ERAS protocol adherence. Protocol adherence increased from 16% (n=14) to 44% (n=44; P<.001), preoperative administration of oral gabapentin (600 mg) increased from 13% (n=11) to 43% (n=43; P<.001), and oral celebrex (400 mg) use increased from 16% (n=14) to 35% (n=35; P=.006). There were no statistically significant differences in the use of scopolamine transdermal patch (P=.05), ketamine (P=.35), and oral acetaminophen (P=.31) between the groups. Secondary outcomes such as intraoperative and postoperative morphine equivalent administered, postanesthesia care unit length of stay, postoperative pain scores, and incidence of postoperative nausea and vomiting did not show statistical significance.

CONCLUSIONS: This study examines whether sending automated notifications to anesthesia providers increases the use of ERAS protocols in a single academic medical center. Our analysis exhibited statistically significant increases in overall protocol adherence but failed to show significant differences in secondary outcome measures. Despite the lack of a statistically significant difference in secondary postoperative outcomes, our analysis contributes to the limited literature on the relationship between using push notifications and clinical decision support in guiding perioperative decision-making. A variety of techniques can be implemented, including technological solutions such as automated notifications to providers, to improve awareness and adherence to ERAS protocols.

PMID:37921854 | DOI:10.2196/44139