Κυριακή 27 Νοεμβρίου 2022

Early warning signals for Omicron outbreaks

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Abstract

The Omicron variant has become the dominant COVID-19 variant worldwide due to its rapid and cryptic spread; therefore, successful early warning is of great importance to be able to control epidemics in their early phase, before developing into large outbreaks. COVID-19-related Baidu search index, which reflects human behavior to a certain degree, was used to retrospectively detect the warning signs for Omicron variant outbreaks in China in 2022. The characteristics and effects of warning signs were analyzed in detail. We detected the presence of early warning signs (both high and low thresholds) and found that these occurred 4–7 days earlier than traditional epidemiological surveillance and >20 days earlier than the implementation of the local "lockdown" policy. Compared with the "high threshold" warning, the early warning effect of the "low threshold" is also vital because it indicates a complacency about epidemic prevention and control. Ho wever, there is obvious heterogeneity in the optimal threshold for detecting early warning signs and their distribution in different cities. Multi-source and multi-point early warning systems should be established via combining internet-based big data in the future to conduct effective and early real-time warning. This would create precious time for the early control of COVID-19 outbreaks.

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Three‐dimensional evaluation of sleep bruxism‐related splint wear using a dental laboratory scanner: a preliminary clinical study

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Abstract

Background:

The wear depth on the occlusal splint (OS) is reportedly associated with the sleep bruxism (SB) level, as evaluated using portable polysomnography (PSG) recordings. However, the OS is deformed owing to SB forces, possibly preventing the accurate quantification of the wear facets.

Objectives:

To introduce a newly developed system to quantify the wear facets on the OS using a dental laboratory scanner (D810) and investigate the association between the wear facets, as evaluated with this system, and the SB level.

Methods:

Ten healthy individuals who were diagnosed with SB based on portable PSG recordings participated in this study. They were asked to wear the OS for 2 months. The first day after a 2-week adaptation period was defined as the reference day, and sequential scanning of the OS surface was performed on days 15, 30, and 45. Changes in the OS surface from the reference day allowed dimensional evaluation of the wear facets in terms of the maximum wear depth, wear area, and wear volume. Multiple regression analyses were conducted to test whether each of these variables could be predicted by any of the SB-related variables.

Results:

The total duration of SB episodes per hour of sleep and the maximum muscle activity were significantly associated with the wear area, as measured with our system (adjusted R-squared was 0.78, p < 0.01).

Conclusion:

Our system allows dimensional analysis of the wear facets on the OS surface in association with the SB level.

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Πέμπτη 24 Νοεμβρίου 2022

Optimal exposure to docetaxel in adjuvant chemotherapy for early‐stage breast cancer

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Optimal exposure to docetaxel in adjuvant chemotherapy for early-stage breast cancer

Among the 70 participants, 47 (67.1%) developed severe neutropenia. The PopPK analysis showed that the typical drug clearance (CL) rate was 37.4 L/h. Age was a significant covariate of CL rate, and aspartate aminotransferase and albumin levels were covariables of the volume of distribution. The AUC estimated using the maximum a posteriori Bayesian method can predict the toxicity of docetaxel in patients with breast cancer. Docetaxel AUC >3.0 mg h/L, platinum and baseline haemoglobin level are risk factors for docetaxel-induced grade 3/4 neutropenia. The AUC of first cycle may not predict the occurrence rates of grade 3/4 neutropenia in later cycles.


Abstract

What Is Known and Objective

Drug-induced neutropenia is the main reason for the dose limitation of docetaxel in patients with breast cancer. The area under the drug concentration-time curve (AUC) of docetaxel is associated with neutropenia. However, the optimal exposure to docetaxel for receiving postoperative adjuvant chemotherapy remains unclear. Therefore, we aimed to evaluate the relationship between the docetaxel AUC and neutropenia, identify potential influencing factors, and explore the best monitoring target for docetaxel when treating patients with early-stage breast cancer using a population pharmacokinetic (PopPK) model.

Methods

Docetaxel plasma concentration, demographics, clinical data, and related laboratory data were collected. PopPK analyses were performed using a nonlinear mixed-effect modelling program. The docetaxel AUC was determined using the maximum a posteriori Bayesian (MAPB) method. The docetaxel exposure-toxicity threshold measured from the AUC for neutropenia was determined using the receiver operating characteristic (ROC) curve. The correlation between docetaxel exposure and neutropenia was analysed using multivariable logistic regression.

Results

Among the 70 participants, 47 (67.1%) developed severe neutropenia. The PopPK analysis showed that the typical drug clearance (CL) rate was 37.4 L/h. Age was a significant covariate of CL rate, and aspartate aminotransferase and albumin levels were covariables of the volume of distribution. The multivariable regression analysis showed that AUC >3.0 mg.h/L (odds ratio [OR], 5.940; 95% confidence interval [CI], 1.693–20.843; P = 0.005), platinum use (OR, 0.156; 95% CI, 0.043–0.562; P = 0.005) and baseline haemoglobin level (OR, 0.938; 95% CI, 0.887–0.993; P = 0.027) were significant factors influencing the occurrence of grade 3/4 neutropenia. The AUC of first cycle may not predict the occurrence rates of grade 3/4 neutropenia in later cycles.

What Is New and Conclusion

We developed a docetaxel PopPK model for patients with early-stage breast cancer. Age and AST and ALB levels were significant covariates. AUC estimated using the MAPB method can predict the toxicity of docetaxel in patients with breast cancer. Docetaxel AUC >3.0 mg.h/L, absence of platinum use and low baseline haemoglobin level were risk factors for docetaxel-induced grade 3/4 neutropenia.

Study Registration

Chinese Clinical Trial Center Registry (ChiCTR2200056460).

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Impact of maximal extent of resection on postoperative deficits, patient functioning and survival within clinically important glioblastoma subgroups

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Abstract
Background
The impact of extent of resection (EOR), residual tumor volume (RTV), and gross-total resection (GTR) in glioblastoma subgroups is currently unknown. This study aimed to analyze their impact in patient subgroups in relation to neurological and functional outcomes.
Methods
Patients with tumor resection for eloquent glioblastoma between 2010 and 2020 at four tertiary centers were recruited from a cohort of 3919 patients.
Results
One thousand and forty-seven (1047) patients were included. Higher EOR and lower RTV were significantly associated with improved OS and PFS across all subgroups, but RTV was a stronger prognostic factor. GTR based on RTV improved median OS in the overall cohort (19.0 months, p<0.0001), and in the subgroups with IDH wildtype tumors (18.5 months, p=0.00055), MGMT methylated tumors (35.0 months, p<0.0001), aged <70 (20.0 months, p<0.0001 ), NIHSS 0-1 (19.0 months, p=0.0038), KPS 90-100 (19.5 months, p=0.0012), and KPS ≤ 80 (17.0 months, p=0.036). GTR was significantly associated with improved OS in the overall cohort (HR 0.58, p=0.0070) and improved PFS in the NIHSS 0-1 subgroup (HR 0.47, p=0.012). GTR combined with preservation of neurological function (OFO 1 grade) yielded the longest survival times (median OS 22.0 months, p <0.0001), which was significantly more frequently achieved in the awake mapping group (50.0%) than in the asleep group (21.8%) (p<0.0001).
Conclusions
Maximum resection was especially beneficial in the subgroups aged <70, NIHSS 0-1, and KPS 90-100 without increasing the risk of postoperative NIHSS or KPS worsening. These findings may assist surgical decision making in individual glioblastoma patients.
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Predictive effect of pretreatment nutritional risk and GLIM‐defined malnutrition on the nutrition impact symptom clusters in patients with head and neck cancer undergoing radiotherapy

alexandrossfakianakis shared this article with you from Inoreader

Abstract

Background

Evidence supporting predictive effects of pretreatment nutritional risk and nutritional status on nutrition impact symptom (NIS) clusters during radiotherapy in patients with head and neck cancer (HNC) is insufficient.

Methods

At baseline (T1), we collected severity and interference of NIS (Head and Neck Patient Symptom Checklist), nutritional risk, and nutritional status. During (T2) and at the end of radiotherapy (T3), we re-evaluated NIS. Symptom clusters were identified by exploratory factor analysis using mean scores of NIS severity at T2 and T3. Predictive effects were explored by generalized estimating equations.

Results

Five hundred thirty-seven patients were recruited and 334 of them completed. Four clusters were identified; the oropharyngeal symptom cluster was the most severe and had the greatest interference with diet. Patients with pretreatment nutritional risk or malnutrition experienced more severe oropharyngeal symptom cluster.

Conclusions

Pretreatment nutritional risk or malnutrition could predict the oropharyngeal symptom cluster in patients with HNC undergoing radiotherapy.

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Τετάρτη 23 Νοεμβρίου 2022

Subjective and objective evaluation of masticatory function in patients with bimaxillary implant‐supported prostheses

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Abstract

Background

People perform poorly in masticatory function tests despite well-functioning prostheses. However, it is unclear whether there is an agreement between subjective and objective measures of mastication.

Objectives

To investigate the association between subjective and objective measures of masticatory function in patients with bimaxillary implant-supported prostheses.

Materials and methods

An experimental group (n=25, age=70.6 ±7.5 years, 8 women) with bimaxillary implant-supported fixed prostheses and a control group (n=25, age=69.0 ±5.3, 13 women) with natural dentition were recruited. The participants in the experimental group were included if they had been using the prosthesis for at least a year and had no obvious complaints with their prostheses. The control group was people with natural dentition and without any prostheses or complaints related to the masticatory system. The masticatory function was evaluated objectively with food comminution and mixing ability tests, and subjectively with jaw function limitation scale (JLFS) and oral health impact profile (OHIP).

Results

The experimental group performed poorly in both objective tests (P<.001). However, there was no significant differences between the two groups in total JFLS (P=0.114) and OHIP (P=0.312) scores. Though, there were certain positive correlations between the food comminution test and JFLS subdomains in the control group, and a positive correlation between food comminution test and specific subdomains of OHIP in the experimental group indicating poor correlation between the subjective and objective measures.

Conclusion

Although patients with implant prostheses show poor masticatory performance, there is no agreement in the objective and subjective measures of mastication.

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A method for identifying the learning curve for the surgical stabilization of rib fractures

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imageBACKGROUND Surgical stabilization of rib fractures (SSRF) is an accepted efficacious treatment modality for patients with severe chest wall injuries. Despite increased adoption of SSRF, surgical learning curves are unknown. We hypothesized intraoperative duration could define individual SSRF learning curves. METHODS Consecutive SSRF operations between January 2017 and December 2021 at a single institution were reviewed. Operative time, as measured from incision until skin closure, was evaluated by cumulative sum methodology using a range of acceptable "missteps" to determine the learning curves. Misstep was defined by extrapolation of accumulated operative time data. RESULTS Eighty-three patients underwent SSRF by three surgeons during this retrospective review. Average operative times ranged from 135 minutes for two plates to 247 minutes for seven plates. Using polynomial regression of average operative times, 75 minutes for general procedural requirements plus 35 minutes per plate were derived as the anticipated operative times per procedure. Cumulative sum analyses using 5%, 10%, 15%, and 20% incident rates for not meeting expected operative times, or "missteps" were used. An institutional learning curve between 15 and 55 SSRF operations was identified assuming a 90% performance rate. An individual learning curve of 15 to 20 operations assuming a 90% performance rate was observed. After this period, operative times stabilized or decreased for surgeons A, B, and C. CONCLUSION The institutional and individual surgeon learning curves for SSRF appears to steadily improve after 15 to 20 operations using operative time as a surrogate for performance. The implementation of SSRF programs by trauma/acute care surgeons is feasible with an attainable learning curve. LEVEL OF EVIDENCE Therapeutic/Care Management; Level IV.
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