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Post-diagnosis BMI change is associated with non-small cell lung cancer survival

Cancer Epidemiol Biomarkers Prev. 2021 Nov 2:cebp.0503.2021. doi: 10.1158/1055-9965.EPI-21-0503. Online ahead of print.

ABSTRACT

BACKGROUND: Body mass index (BMI) change after a lung cancer diagnosis has been associated with non-small cell lung cancer (NSCLC) survival. This study aimed to quantify the association based on a large-scale observational study.

METHODS: Included in the study were 7,547 NSCLC patients with prospectively collected BMI data from Massachusetts General Hospital and Brigham and Women’s Hospital/Dana Faber Cancer Institute. Cox proportional hazards regression with time-dependent covariates was used to estimate effect of time varying post-diagnosis BMI change rate (% per month) on overall survival (OS), stratified by clinical subgroups. Spline analysis was conducted to quantify the non-linear association. A Mendelian Randomization (MR) analysis with a total of 3,495 patients further validated the association.

RESULTS: There was a J-shape association between post-diagnosis BMI change and OS among NSCLC patients. Specifically, a moderate BMI decrease (0.5-2.0; HR = 2.45, 95% CI = 2.25-2.67) and large BMI decrease ({>= 2.0; HR = 4.65, 95% CI = 4.15-5.20) were strongly associated with worse OS, whereas moderate weight gain (0.5-2.0) reduced the risk for mortality (HR = 0.78, 95% CI = 0.68-0.89) and large weight gain (>= 2.0) slightly increased the risk of mortality without reaching statistical significance (HR = 1.10, 95% CI = 0.86-1.42). MR analyses supported the potential causal roles of post-diagnosis BMI change in survival.

CONCLUSIONS: This study indicates that BMI change after diagnosis was associated with mortality risk.

IMPACT: Our findings, which reinforce the importance of post-diagnosis BMI surveillance, suggesting that weight loss or large weight gain maybe unwarranted.

PMID:34728470 | DOI:10.1158/1055-9965.EPI-21-0503

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Transcutaneous electrical acupoint stimulation combined with electroacupuncture for rapid recovery of patients after laparotomy for gastrointestinal surgery: a study protocol for a randomised controlled trial

BMJ Open. 2021 Nov 2;11(11):e053309. doi: 10.1136/bmjopen-2021-053309.

ABSTRACT

INTRODUCTION: Abdominal surgery is associated with common complications, including decreased or poor appetite, abdominal distension, abdominal pain caused by decreased or absent gastrointestinal motility, anal arrest with flatus and defecation, and nausea and vomiting resulting from the use of anaesthetics and opioid analgesics. These complications seriously affect postoperative recovery, prolong hospital stay and aggravate patient burden. This study aims to investigate for the first time the efficacy of transcutaneous electrical acupoint stimulation (TEAS) combined with electroacupuncture (EA) therapy for rapid recovery after laparotomy for gastrointestinal surgery. There have been no clinical studies of this combination therapy.

METHODS AND ANALYSIS: This will be a prospective, single-centre, three-arm, randomised controlled trial. A total of 480 patients undergoing abdominal surgery will be stratified according to surgery type (ie, gastric or colorectal procedure) and randomised into three groups; namely, the EA, TEAS +EA and control groups. The control group will receive enhanced recovery after surgery (ERAS)-standardised perioperative management, including preoperative education, optimising the anaesthesia scheme, avoiding intraoperative hypothermia, restrictive fluid infusion and reducing surgical trauma. The EA group will receive EA stimulation at LI4, PC6, ST36, ST37 and ST39 based on the ERAS-standardised perioperative management. Moreover, the TEAS +EA group will receive ERAS-standardised perioperative management; EA stimulation at the LI4, PC6, ST36, ST37 and ST39; and TEAS stimulation at ST21 and SP15. The primary outcome will be the GI-2 (composite outcome of time to first defaecation and time to tolerance of a solid diet). Secondary outcomes will include the time of first passage of flatus, time to first defaecation, time to tolerance of a solid diet, time to first ambulation, hospital duration from operation to discharge, pain and nausea vomiting scores on the Visual Analogue Scale, medication use, incidence of postoperative complications and evaluation of treatment modality acceptability. All statistical analyses will be performed based on the intention-to-treat principle.

ETHICS AND DISSEMINATION: Ethics approval has been granted by the Ethics Committee on Biomedical Research, West China Hospital of Sichuan University (approval number: 2021; number 52). The results are expected to be published in peer-reviewed journals.

TRIAL REGISTRATION NUMBER: ChiCTR2100045646.

PMID:34728456 | DOI:10.1136/bmjopen-2021-053309

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Integrating health services for HIV infection, diabetes and hypertension in sub-Saharan Africa: a cohort study

BMJ Open. 2021 Nov 2;11(11):e053412. doi: 10.1136/bmjopen-2021-053412.

ABSTRACT

BACKGROUND: HIV, diabetes and hypertension have a high disease burden in sub-Saharan Africa. Healthcare is organised in separate clinics, which may be inefficient. In a cohort study, we evaluated integrated management of these conditions from a single chronic care clinic.

OBJECTIVES: To determined the feasibility and acceptability of integrated management of chronic conditions in terms of retention in care and clinical indicators.

DESIGN AND SETTING: Prospective cohort study comprising patients attending 10 health facilities offering primary care in Dar es Salaam and Kampala.

INTERVENTION: Clinics within health facilities were set up to provide integrated care. Patients with either HIV, diabetes or hypertension had the same waiting areas, the same pharmacy, were seen by the same clinical staff, had similar provision of adherence counselling and tracking if they failed to attend appointments.

PRIMARY OUTCOME MEASURES: Retention in care, plasma viral load.

FINDINGS: Between 5 August 2018 and 21 May 2019, 2640 patients were screened of whom 2273 (86%) were enrolled into integrated care (832 with HIV infection, 313 with diabetes, 546 with hypertension and 582 with multiple conditions). They were followed up to 30 January 2020. Overall, 1615 (71.1%)/2273 were female and 1689 (74.5%)/2266 had been in care for 6 months or more. The proportions of people retained in care were 686/832 (82.5%, 95% CI: 79.9% to 85.1%) among those with HIV infection, 266/313 (85.0%, 95% CI: 81.1% to 89.0%) among those with diabetes, 430/546 (78.8%, 95% CI: 75.4% to 82.3%) among those with hypertension and 529/582 (90.9%, 95% CI: 88.6 to 93.3) among those with multimorbidity. Among those with HIV infection, the proportion with plasma viral load <100 copies/mL was 423(88.5%)/478.

CONCLUSION: Integrated management of chronic diseases is a feasible strategy for the control of HIV, diabetes and hypertension in Africa and needs evaluation in a comparative study.

PMID:34728457 | DOI:10.1136/bmjopen-2021-053412

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Machine learning techniques for mortality prediction in emergency departments: a systematic review

BMJ Open. 2021 Nov 2;11(11):e052663. doi: 10.1136/bmjopen-2021-052663.

ABSTRACT

OBJECTIVES: This systematic review aimed to assess the performance and clinical feasibility of machine learning (ML) algorithms in prediction of in-hospital mortality for medical patients using vital signs at emergency departments (EDs).

DESIGN: A systematic review was performed.

SETTING: The databases including Medline (PubMed), Scopus and Embase (Ovid) were searched between 2010 and 2021, to extract published articles in English, describing ML-based models utilising vital sign variables to predict in-hospital mortality for patients admitted at EDs. Critical appraisal and data extraction for systematic reviews of prediction modelling studies checklist was used for study planning and data extraction. The risk of bias for included papers was assessed using the prediction risk of bias assessment tool.

PARTICIPANTS: Admitted patients to the ED.

MAIN OUTCOME MEASURE: In-hospital mortality.

RESULTS: Fifteen articles were included in the final review. We found that eight models including logistic regression, decision tree, K-nearest neighbours, support vector machine, gradient boosting, random forest, artificial neural networks and deep neural networks have been applied in this domain. Most studies failed to report essential main analysis steps such as data preprocessing and handling missing values. Fourteen included studies had a high risk of bias in the statistical analysis part, which could lead to poor performance in practice. Although the main aim of all studies was developing a predictive model for mortality, nine articles did not provide a time horizon for the prediction.

CONCLUSION: This review provided an updated overview of the state-of-the-art and revealed research gaps; based on these, we provide eight recommendations for future studies to make the use of ML more feasible in practice. By following these recommendations, we expect to see more robust ML models applied in the future to help clinicians identify patient deterioration earlier.

PMID:34728454 | DOI:10.1136/bmjopen-2021-052663

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Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence

BMJ Open. 2021 Nov 2;11(11):e052887. doi: 10.1136/bmjopen-2021-052887.

ABSTRACT

INTRODUCTION: Atrial fibrillation (AF) is a major cardiovascular health problem: it is common, chronic and incurs substantial healthcare expenditure because of stroke. Oral anticoagulation reduces the risk of thromboembolic stroke in those at higher risk; but for a number of patients, stroke is the first manifestation of undetected AF. There is a rationale for the early diagnosis of AF, before the first complication occurs, but population-based screening is not recommended. Previous prediction models have been limited by their data sources and methodologies. An accurate model that uses existing routinely collected data is needed to inform clinicians of patient-level risk of AF, inform national screening policy and highlight predictors that may be amenable to primary prevention.

METHODS AND ANALYSIS: We will investigate the application of a range of deep learning techniques, including an adapted convolutional neural network, recurrent neural network and Transformer, on routinely collected primary care data to create a personalised model predicting the risk of new-onset AF over a range of time periods. The Clinical Practice Research Datalink (CPRD)-GOLD dataset will be used for derivation, and the CPRD-AURUM dataset will be used for external geographical validation. Both comprise a sizeable representative population and are linked at patient-level to secondary care databases. The performance of the deep learning models will be compared against classic machine learning and traditional statistical predictive modelling methods. We will only use risk factors accessible in primary care and endow the model with the ability to update risk prediction as it is presented with new data, to make the model more useful in clinical practice.

ETHICS AND DISSEMINATION: Permissions for CPRD-GOLD and CPRD-AURUM datasets were obtained from CPRD (ref no: 19_076). The CPRD ethical approval committee approved the study. The results will be submitted as a research paper for publication to a peer-reviewed journal and presented at peer-reviewed conferences.

TRIAL REGISTRATION DETAILS: A systematic review to incorporate within the overall project was registered on PROSPERO (registration number CRD42021245093). The study was registered on ClinicalTrials.gov (NCT04657900).

PMID:34728455 | DOI:10.1136/bmjopen-2021-052887

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COVID-19 Public Stigma Scale (COVID-PSS): development, validation, psychometric analysis and interpretation

BMJ Open. 2021 Nov 2;11(11):e048241. doi: 10.1136/bmjopen-2020-048241.

ABSTRACT

OBJECTIVE: Amid the COVID-19 pandemic, social stigma towards COVID-19 infection has become a major component of public discourse and social phenomena. As such, we aimed to develop and validate the COVID-19 Public Stigma Scale (COVID-PSS).

DESIGN AND SETTING: National-based survey cross-sectional study during the lockdown in Thailand.

PARTICIPANTS: We invited the 4004 adult public to complete a set of measurement tools, including the COVID-PSS, global fear of COVID-19, perceived risk of COVID-19 infection, Bogardus Social Distance Scale, Pain Intensity Scale and Insomnia Severity Index.

METHODS: Factor structure dimensionality was constructed and reaffirmed with model fit by exploratory and confirmatory factor analyses and non-parametric item response theory (IRT) analysis. Psychometric properties for validity and reliability were tested. An anchor-based approach was performed for classifying the proper cut-off scores.

RESULTS: After factor analysis, IRT analysis and test for model fit, we created the final 10-item COVID-PSS with a three-factor structure: stereotype, prejudice and fear. Face and content validity were established through the public and experts’ perspectives. The COVID-PSS was significantly correlated (Spearman rank, 95% CI) with the global fear of COVID-19 (0.68, 95% CI 0.66 to 0.70), perceived risk of COVID-19 infection (0.79, 95% CI 0.77 to 0.80) and the Bogardus Social Distance Scale (0.50, 95% CI 0.48 to 0.53), indicating good convergent validity. The correlation statistics between the COVID-PSS and the Pain Intensity Scale and Insomnia Severity Index were <0.2, supporting the discriminant validity. The reliability of the COVID-PSS was satisfactory, with good internal consistency (Cronbach’s α of 0.85, 95% CI 0.84 to 0.86) and test-retest reproducibility (intraclass correlation of 0.94, 95% CI 0.86 to 0.96). The proposed cut-off scores were as follows: no/minimal (≤18), moderate (19-25) and high (≥26) public stigma towards COVID-19 infection.

CONCLUSIONS: The COVID-PSS is practical and suitable for measuring stigma towards COVID-19 in a public health survey. However, cross-cultural adaptation may be needed.

PMID:34728443 | DOI:10.1136/bmjopen-2020-048241

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Relationship Between Masticatory Muscle Size and Bone Regeneration After Mandibular Angle Osteotomy

J Craniofac Surg. 2021 Nov-Dec 01;32(8):2784-2787. doi: 10.1097/SCS.0000000000007960.

ABSTRACT

Mandibular angle osteotomy with outer cortex grinding has become the preferred cosmetic procedure for correcting square faces. After surgery, bone hyperplasia at the mandibular angle affects the operation result. This study evaluated the effect of the masticatory muscles on bone repair. From January 2016 to January 2019, patients who underwent mandibular angle osteotomy with outer cortex grinding were retrospectively reviewed. Computed tomography data of these patients were collected, and the bone volume of the mandibular angle changes and its correlation with masticatory muscle morphology were analyzed. Computed tomography data measurement results showed that a large amount of bone in the mandibular angle area was removed by the operation; however, the long-term follow-up results showed that there was bone hyperplasia in the mandibular angle areas. Compared with the immediate postoperative bone volume, the difference was statistically significant (P < 0.01). The thickness and cross-sectional area of the masseter muscle were significantly related to bone regeneration (P < 0.01). This study suggests that mandibular angle osteotomy with outer cortex grinding could ablate the symptoms of a prominent mandibular angle; however, muscle-related bone hyperplasia in the mandibular angle area after surgery was a non-negligible event, which may significantly compromise surgical outcomes.

PMID:34727480 | DOI:10.1097/SCS.0000000000007960

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Decreasing Inpatient Opioid Use Following Orthognathic Surgery

J Craniofac Surg. 2021 Nov-Dec 01;32(8):2808-2811. doi: 10.1097/SCS.0000000000008001.

ABSTRACT

PURPOSE: Strategies to decrease postoperative opioid use are important for mitigating the immediate and long-term risks associated with their use. We aimed to investigate the impact of perioperative various factors on inpatient opioid needs for patients undergoing orthognathic surgery.

METHODS: This was a retrospective cohort study of all patients who underwent orthognathic surgery performed by the senior author from 2012 to 2018. Patients were grouped into intravenous (IV) acetaminophen and no-IV acetaminophen cohorts. Opioid medications received by patients during hospital stay were converted to mean morphine equivalents (MME) for comparison. Additional factors that influenced opioid consumption, such as transexamic acid (TXA) and postoperative nausea and vomiting (PONV), were identified using univariate analysis. Factors found to have statistical significance were added to a multivariate linear regression model.

RESULTS: 319 patients were included. Those who received IV acetaminophen had lower rates of total opioid use (57.3 versus 74.8 MME; P = 0.002) and postoperative opioid use (24.0 versus 37.7 MME; P < 0.001). Perioperative prothrombotic agents, such as TXA, were associated with lower total and postoperative MME (P = 0.005, P = 0.002). Multivariate regression analysis showed that increased PONV resulted in increased postoperative opioid use, whereas perioperative acetaminophen lowered total and postoperative quantities.

CONCLUSIONS: Perioperative IV acetaminophen is an effective method for decreasing inpatient opioid analgesia after orthognathic surgery. Intravenous TXA and PONV control may provide additional benefit to decreasing inpatient opioid consumption. More research as to the mechanisms and ideal clinical applications for both IV acetaminophen and TXA are warranted.

PMID:34727482 | DOI:10.1097/SCS.0000000000008001

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Submandibular Gland Excision in Pediatric Patients

J Craniofac Surg. 2021 Nov-Dec 01;32(8):2656-2659. doi: 10.1097/SCS.0000000000007887.

ABSTRACT

INTRODUCTION: Children who require submandibular gland excision for ptyalism often have multiple associated comorbidities, including neurodevelopmental disorders and respiratory risk factors. The purpose of this study is to utilize a large multicenter database to elucidate the perioperative profile of submandibular gland excision in children, with particular focus on children who require submandibular gland excision for ptyalism.

METHODS: The American College of Surgeons National Surgical Quality Improvement Program Pediatric dataset was queried for submandibular gland excision performed from 2012 through 2018. Indications were subclassified based on International Classification of Disease (ICD)-9 and ICD-10 codes. Complications, readmissions, and reoperations were analyzed with appropriate statistics.

RESULTS: During the study interval, 304 pediatric patients underwent submandibular gland excision, which was mostly performed for ptyalism (56.9%), followed by inflammatory conditions (20.7%). Patients requiring submandibular gland excision for ptyalism were significantly younger (P < 0.001) and underwent significantly longer procedures (P < 0.001). Ptyalism was associated with significantly higher related adverse events (P = 0.010), related readmission (P = 0.013), and medical complications (P = 0.013), which included a significantly higher risk of pneumonia (P = 0.050). Children with ptyalism had significantly higher rates of overall respiratory comorbidities (P < 0.001), including chronic lung disease (P < 0.001), supplemental oxygen support (P < 0.001), tracheostomy (P < 0.001), and ventilator dependence (P < 0.001). Patients undergoing submandibular gland excision for benign (P all ≥ 0.082) and malignant (P all ≥ 0.565) neoplasms did not have significantly higher rates of any indexed postoperative adverse event.

CONCLUSIONS: Children requiring submandibular gland excision for ptyalism represent a unique cohort than those requiring excision for other indications, with significantly higher burden of preoperative risk factors, intraoperative durations, and postoperative adverse events.

PMID:34727467 | DOI:10.1097/SCS.0000000000007887

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Direct Consequences of Cranioplasty to the Brain: Intracranial Pressure Study

J Craniofac Surg. 2021 Nov-Dec 01;32(8):2779-2783. doi: 10.1097/SCS.0000000000007945.

ABSTRACT

Intracranial pressure (ICP) is a crucial factor that we need to take into account in all major pathophysiological changes of the brain after decompressive craniectomy (DC) and cranioplasty (CP). The purpose of our study was to check ICP values before and after cranioplasty and its relation to various parameters (imaging, demographics, time of cranioplasty, and type of graft) as well as its possible relation to postsurgical complications. The authors performed a prospective study in which they selected as participants adults who had undergone unilateral frontotemporoparietal DC and were planned to have cranioplasty. Intracranial pressure was measured with optical fiber sensor in the epidural space and did not affect cranioplasty in any way.Twenty-five patients met the criteria. The mean vcICP (value change of ICP) was 1.2 mm Hg, the mean ΔICP (absolute value change of the ICP) was 2.24 mm Hg and in the majority of cases there was an increase in ICP. The authors found 3 statistically significant correlations: between gender and ΔICP, Δtime (time between DC and CP) and vcICP, and pre-ICP and ±ICP (quantitative change of the ICP).Μale patients tend to develop larger changes of ICP values during CP. As the time between the 2 procedures (DC and CP) gets longer, the vcICP is decreased. However, after certain time it shows a tendency to remain around zero. Lower pre-ICP values (close to or below zero) are more possible to increase after bone flap placement. It seems that the brain tends to restore its pre-DC conditions after CP by taking near-to-normal ICP values.

PMID:34727479 | DOI:10.1097/SCS.0000000000007945