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BACKGROUND: Free flap (FF) reconstruction of traumatic injuries to the head and neck is uncommon. METHODS: Multi-institutional retrospective case series of patients undergoing FF reconstruction for a traumatic injury (n = 103). RESULTS: Majority were gunshot wounds (GSW; 85%, n = 88) and motor vehicle accidents (11%, n = 11). Majority underwent osseous reconstruction (82%, n = 84). FF failures (9%, n = 9/103) occurred in GSW patients (100%, n = 9/9) and when multiple subsites were injured (89%, n = 8/9). Preoperative antibiotics correlated with lower rates of a neck washouts (4% vs. 19%) (p = 0.01) and 30-day readmissions (4% vs. 17%) (p = 0.02). CONCLUSIONS: All FF failures occurred in the setting of a GSW and the majority involved multiple subsites. Preoperative antibiotics correlated with lower rates of postoperative washout procedures and 30-day readmission.
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OBJECTIVES: This investigation aims to analyze the characteristics and development of literature and advocate to include "Somatopsychic" as a Medical Subject Headings (MeSH) term. BACKGROUND: The interplay between physiological processes and psychological conditions, commonly referred to as "Somatopsychic," has garnered increasing attention in scientific literature over the years. METHODS: Somatopsychic-related research from the Scopus database using (Text word) and (MeSH) features. Publications were collected on Mar 22, 2023. The publication output was then analyzed using the R package's bibliometrics (Biblioshiny) and VOSviewer. RESULTS: In this study, search results for "somatopsychic" using (MeSH) resulted in a predictable return of 0 articles. Meanwhile, based on a search with (Text word), this study retrieved 306 documents for an unlimited period (and yielded published articles between 1913 and 2022). The analysis also revealed that 3,176 authors contributed to publications related to somatopsychic, with the United States ranking first in terms of authorship. In addition, the study presented a co-word network that illustrated frequent co-occurrence of particular keywords within somatopsychic research. CONCLUSION: This study reveals that somatopsychic-related publications are becoming increasingly prevalent. Adding somatopsychic as a dedicated term to the MeSH thesaurus of the National Library of Medicine would assist in indexing and retrieving the most pertinent literature on this topic (Tab. 3, Fig. 5, Ref. 51).
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Bibliometría , Humanos , Medical Subject HeadingsRESUMEN
Goal: Auscultation for neonates is a simple and non-invasive method of diagnosing cardiovascular and respiratory disease. However, obtaining high-quality chest sounds containing only heart or lung sounds is non-trivial. Hence, this study introduces a new deep-learning model named NeoSSNet and evaluates its performance in neonatal chest sound separation with previous methods. Methods: We propose a masked-based architecture similar to Conv-TasNet. The encoder and decoder consist of 1D convolution and 1D transposed convolution, while the mask generator consists of a convolution and transformer architecture. The input chest sounds were first encoded as a sequence of tokens using 1D convolution. The tokens were then passed to the mask generator to generate two masks, one for heart sounds and one for lung sounds. Each mask is then applied to the input token sequence. Lastly, the tokens are converted back to waveforms using 1D transposed convolution. Results: Our proposed model showed superior results compared to the previous methods based on objective distortion measures, ranging from a 2.01 dB improvement to a 5.06 dB improvement. The proposed model is also significantly faster than the previous methods, with at least a 17-time improvement. Conclusions: The proposed model could be a suitable preprocessing step for any health monitoring system where only the heart sound or lung sound is desired.
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Objective: The Score for Emergency Risk Prediction (SERP) is a novel mortality risk prediction score which leverages machine learning in supporting triage decisions. In its derivation study, SERP-2d, SERP-7d and SERP-30d demonstrated good predictive performance for 2-day, 7-day and 30-day mortality. However, the dataset used had significant class imbalance. This study aimed to determine if addressing class imbalance can improve SERP's performance, ultimately improving triage accuracy. Methods: The Singapore General Hospital (SGH) emergency department (ED) dataset was used, which contains 1,833,908 ED records between 2008 and 2020. Records between 2008 and 2017 were randomly split into a training set (80%) and validation set (20%). The 2019 and 2020 records were used as test sets. To address class imbalance, we used random oversampling and random undersampling in the AutoScore-Imbalance framework to develop SERP+-2d, SERP+-7d, and SERP+-30d scores. The performance of SERP+, SERP, and the commonly used triage risk scores was compared. Results: The developed SERP+ scores had five to six variables. The AUC of SERP+ scores (0.874 to 0.905) was higher than that of the corresponding SERP scores (0.859 to 0.894) on both test sets. This superior performance was statistically significant for SERP+-7d (2019: Z = -5.843, p < 0.001, 2020: Z = -4.548, p < 0.001) and SERP+-30d (2019: Z = -3.063, p = 0.002, 2020: Z = -3.256, p = 0.001). SERP+ outperformed SERP marginally on sensitivity, specificity, balanced accuracy, and positive predictive value measures. Negative predictive value was the same for SERP+ and SERP. Additionally, SERP+ showed better performance compared to the commonly used triage risk scores. Conclusions: Accounting for class imbalance during training improved score performance for SERP+. Better stratification of even a small number of patients can be meaningful in the context of the ED triage. Our findings reiterate the potential of machine learning-based scores like SERP+ in supporting accurate, data-driven triage decisions at the ED.
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Background: Real-time reverse-transcriptase polymerase chain reaction (RT-PCR) has been the gold standard for diagnosing coronavirus disease 2019 (COVID-19) but has a lag time for the results. An effective prediction algorithm for infectious COVID-19, utilized at the emergency department (ED), may reduce the risk of healthcare-associated COVID-19. Objective: To develop a prototypic prediction model for infectious COVID-19 at the time of presentation to the ED. Material and methods: Retrospective cohort study of all adult patients admitted to Singapore General Hospital (SGH) through ED between March 15, 2020, and December 31, 2022, with admission of COVID-19 RT-PCR results. Two prediction models were developed and evaluated using area under the curve (AUC) of receiver operating characteristics (ROC) to identify infectious COVID-19 patients (cycle threshold (Ct) of <25). Results: Total of 78,687 patients were admitted to SGH through ED during study period. 6,132 of them tested severe acute respiratory coronavirus 2 positive on RT-PCR. Nearly 70% (4,226 of 6,132) of the patients had infectious COVID-19 (Ct<25). Model that included demographics, clinical history, symptom and laboratory variables had AUROC of 0.85 with sensitivity and specificity of 80.0% & 72.1% respectively. When antigen rapid test results at ED were available and added to the model for a subset of the study population, AUROC reached 0.97 with sensitivity and specificity of 95.0% and 92.8% respectively. Both models maintained respective sensitivity and specificity results when applied to validation data. Conclusion: Clinical predictive models based on available information at ED can be utilized for identification of infectious COVID-19 patients and may enhance infection prevention efforts.
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BACKGROUND: Dexmedetomidine is a selective alpha-2 agonist with minimal impact on the haemodynamic profile. It is thought to be safer than morphine or stronger opioids, which are drugs currently used for analgesia and sedation in newborn infants. Dexmedetomidine is increasingly being used in children and infants despite not being licenced for analgesia in this group. OBJECTIVES: To determine the overall effectiveness and safety of dexmedetomidine for sedation and analgesia in newborn infants receiving mechanical ventilation compared with other non-opioids, opioids, or placebo. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, CINAHL, and two trial registries in September 2023. SELECTION CRITERIA: We planned to include randomised controlled trials (RCTs) and quasi-RCTs evaluating the effectiveness of dexmedetomidine compared with other non-opioids, opioids, or placebo for sedation and analgesia in neonates (aged under four weeks) requiring mechanical ventilation. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our primary outcomes were level of sedation and level of analgesia. Our secondary outcomes included days on mechanical ventilation, number of infants requiring additional medication for sedation or analgesia (or both), hypotension, neonatal mortality, and neurodevelopmental outcomes. We planned to use GRADE to assess the certainty of evidence for each outcome. MAIN RESULTS: We identified no eligible studies for inclusion. We identified four ongoing studies, two of which appear to be eligible for inclusion; they will compare dexmedetomidine with fentanyl in newborn infants requiring surgery. We listed the other two studies as awaiting classification pending assessment of full reports. One study will compare dexmedetomidine with morphine in asphyxiated newborns undergoing hypothermia, and the other (mixed population, age up to three years) will evaluate dexmedetomidine versus ketamine plus dexmedetomidine for echocardiography. The planned sample size of the four studies ranges from 40 to 200 neonates. Data from these studies may provide some evidence for dexmedetomidine efficacy and safety. AUTHORS' CONCLUSIONS: Despite the increasing use of dexmedetomidine, there is insufficient evidence supporting its routine use for analgesia and sedation in newborn infants on mechanical ventilation. Furthermore, data on dexmedetomidine safety are scarce, and there are no data available on its long-term effects. Future studies should address the efficacy, safety, and long-term effects of dexmedetomidine as a single drug therapy for sedation and analgesia in newborn infants.
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Dexmedetomidina , Hipnóticos y Sedantes , Respiración Artificial , Humanos , Dexmedetomidina/uso terapéutico , Dexmedetomidina/efectos adversos , Recién Nacido , Hipnóticos y Sedantes/uso terapéutico , Hipnóticos y Sedantes/efectos adversos , Ensayos Clínicos Controlados Aleatorios como Asunto , Analgésicos Opioides/uso terapéutico , Morfina/uso terapéutico , Analgesia/métodos , Analgésicos no Narcóticos/uso terapéuticoRESUMEN
Background and Objective: The morbidity and mortality of infants born extremely preterm varies substantially across networks, within countries and throughout the globe. Most of the literature tends to focus on the management at birth and choices around active resuscitation of extremely preterm infants. Withdrawal and withholding of life sustaining treatment (WWLST) is an important and central process in the neonatal intensive care unit (NICU) and practices vary substantially. As such, our objective in this review was to explore whether end of life decisions also contribute to variations in the morbidity and mortality of periviable infants. Methods: This narrative literature review is based on studies from the last 15 years found using several searches of medical databases (OVID Medline, Scopus and Cochrane Systematic Reviews) performed between March 2021 and December 2023. Key Content and Findings: Just as outcomes in periviable infants vary, the rates of and processes behind WWLST differ in the periviable population. Variation increases as gestational age decreases. Parental involvement is crucial to share decision making but the circumstances and rates of parental involvement differ. Strict guidelines in end-of-life care may not be appropriate, however there is a need for more targeted guidance for periviable infants as a specific population. The current literature available relating to periviable infants or WWLST is minimal, with many datasets rapidly becoming outdated. Conclusions: Further research is needed to establish the role of WWLST in variation of periviable infants' outcomes. The unification of data, acquisition of more recent datasets and inclusion of variables relating to end-of-life decisions in data collection will aid in this process.
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OBJECTIVES: This randomized, controlled, double-blinded clinical trial aimed to evaluate the efficacy of octenidine hydrochloride and chlorhexidine mouthwashes as adjuncts to instrumentation in stage I-II periodontitis patients. METHODS: Forty-five patients with mild-to-moderate periodontitis were randomly allocated to three groups: 0.1% octenidine dihydrochloride (OCT), placebo, and 0.12% chlorhexidine (CHX) mouthwashes. Patients were instructed to use the mouthwash after instrumentation for twice a day up to 3 weeks. Periodontal parameters such as probing pocket depth (PPD), clinical attachment loss (CAL), O'Leary plaque index (PI), Loe and Silness gingival index (GI), Lobene stain index (SI), and oral soft tissue changes were recorded at baseline and once every week for 3 weeks. The visual analogue scale (VAS) was also recorded as a self-administered questionnaire at the end of the study. The one-way ANOVA was used to compare VAS scores between the groups. The repeated measures ANOVA and post hoc Newman-Keuls tests were used to assess the differences in the periodontal parameters between groups at different time intervals. The Kruskal-Wallis test was used to compare the mean SI. RESULTS: There was a significant reduction in the mean GI of the OCT and CHX groups compared to placebo (p < 0.05). OCT usage resulted in significantly less staining, according to mean SI, when compared to CHX. Furthermore, VAS scores revealed that OCT was significantly the preferred mouthwash (p < 0.01). CONCLUSION: Adjunctive octenidine hydrochloride may be an alternative to chlorhexidine in its ability to control the periodontal parameters in patients with stage I-II periodontitis. Further larger studies are necessary to confirm these findings.
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BACKGROUND: Over 95% of infants less than 32 weeks gestational age-very preterm infants (VPTI)-require cardiorespiratory support at birth. Clinical condition at birth is assessed by the Apgar score, but the precision and accuracy of activity and grimace has not been evaluated. We hypothesised activity and grimace could predict the level of cardiorespiratory support required for stabilisation. METHODS: Two hundred twenty-nine videos of VPTI resuscitations at Monash Children's Hospital and The Royal Women's Hospital, Melbourne were evaluated, with 78 videos eligible for assessment. Activity and grimace were scored (0, 1, or 2) by seven consultant neonatologists, with inter-rater reliability assessed. Activity and grimace were correlated with the maximum level of cardiorespiratory support required for stabilisation. RESULTS: Kendall's Coefficient of Concordance (W) showed strong interobserver agreement for activity (W = 0.644, p < 0.001) and grimace (W = 0.722, p < 0.001). Neither activity nor grimace independently predicted the level of cardiorespiratory support required. Combining activity and grimace showed non-vigorous infants (combined score <2) received more cardiorespiratory support than vigorous (combined score ≥ 2). CONCLUSION: Scoring of activity and grimace was consistent between clinicians. Independently, activity and grimace did not correlate with perinatal stabilisation. Combined scoring showed non-vigorous infants had greater resuscitation requirements. IMPACT: Our study evaluates the precision and accuracy of activity and grimace to predict perinatal stability, which has not been validated in infants <32 weeks gestational age. We found strong score agreement between assessors, indicating video review is a practical and precise method for grading of activity and grimace. Combined scoring to allow a dichotomous evaluation of infants as non-vigorous or vigorous showed the former group required greater cardiorespiratory support at birth.
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BACKGROUND: Botulinum toxin type A (BTX-A) is increasingly used to manage painful temporomandibular disorders (TMD). However, the effect of BTX-A on muscular TMD remains unclear. OBJECTIVE: To assess the efficacy, safety and optimal dose of BTX-A for treating TMD. METHODS: We conducted systematic literature searches in MEDLINE, Embase, Web of Science, ClinicalTrials.gov and Cochrane Library until March 2023. We extracted data from randomized controlled trials (RCTs) that evaluated the efficacy and safety of BTX-A in treating muscular TMD. We performed a meta-analysis using a random-effects model. RESULTS: Fifteen RCTs involving 504 participants met the inclusion criteria. BTX-A was significantly more effective than placebo in reducing pain intensity, as measured on a 0-10 scale, at 1 month (MD [95% CI] = -1.92 [-2.87, -0.98], p < .0001) and 6 months (MD [95% CI] -2.08, [-3.19 to -0.98]; p = .0002). A higher dosage of BTX-A (60-100 U bilaterally) was associated with a greater reduction in pain at 6 months (MD [95% CI] = -2.98 [-3.52, -2.44]; p < .001). BTX-A also resulted in decreased masseter muscle intensity (µV) (MD [95% CI] = -44.43 [-71.33, -17.53]; p = .001) at 1 month and occlusal force (kg) at 3 months (MD [95% CI] = -30.29 [-48.22 to -12.37]; p = .0009). There was no significant difference in adverse events between BTX-A and placebo. CONCLUSIONS: BTX-A is a safe and effective treatment for reducing pain and improving temporomandibular muscle and joint function in muscular TMD patients. A bilateral dose of 60-100 U might be an optimal choice for treating muscular TMD pain.