Ann Surg Oncol. 2022 Dec 26. doi: 10.1245/s10434-022-12989-w. Online ahead of print.
NO ABSTRACT
PMID:36572809 | DOI:10.1245/s10434-022-12989-w
Tag: statistics
Biomech Model Mechanobiol. 2022 Dec 27. doi: 10.1007/s10237-022-01666-2. Online ahead of print.
ABSTRACT
Functional heterogeneity is a skeletal muscle’s ability to generate diverse force vectors through localised motor unit (MU) recruitment. Existing 3D macroscopic continuum-mechanical finite element (FE) muscle models neglect MU anatomy and recruit muscle volume simultaneously, making them unsuitable for studying functional heterogeneity. Here, we develop a method to incorporate MU anatomy and information in 3D models. Virtual fibres in the muscle are grouped into MUs via a novel “virtual innervation” technique, which can control the units’ size, shape, position, and overlap. The discrete MU anatomy is then mapped to the FE mesh via statistical averaging, resulting in a volumetric MU distribution. Mesh dependency is investigated using a 2D idealised model and revealed that the amount of MU overlap is inversely proportional to mesh dependency. Simultaneous recruitment of a MU’s volume implies that action potentials (AP) propagate instantaneously. A 3D idealised model is used to verify this assumption, revealing that neglecting AP propagation results in a slightly less-steady force, advanced in time by approximately 20 ms, at the tendons. Lastly, the method is applied to a 3D, anatomically realistic model of the masticatory system to demonstrate the functional heterogeneity of masseter muscles in producing bite force. We found that the MU anatomy significantly affected bite force direction compared to bite force magnitude. MU position was much more efficacious in bringing about bite force changes than MU overlap. These results highlight the relevance of MU anatomy to muscle function and joint force, particularly for muscles with complex neuromuscular architecture.
PMID:36572787 | DOI:10.1007/s10237-022-01666-2
Int Orthop. 2022 Dec 27. doi: 10.1007/s00264-022-05655-z. Online ahead of print.
ABSTRACT
PURPOSE: This study is to compare the precision and safety of the orthopaedic robot with conventional fluoroscopy for assisted percutaneous sacroiliac joint screw implantation.
METHODS: Retrospective analysis was performed on the clinical data of 57 patients with unstable posterior pelvic ring injuries who were admitted and met the criteria between January 2017 and January 2022. All of these patients underwent percutaneous sacroiliac joint screw implantation, and their clinical data were split into two groups based on the surgical technique: a RA group (robot-assisted implantation, 30 patients, 54 screws) and a CF group (conventional fluoroscopic freehand implantation, 27 patients, 42 screws). There were 96 screws placed in total. The durations of the two groups’ operations, fluoroscopy examinations, fluoroscopy doses, total number of fluoroscopies, and intra-operative guide pin applications were noted and compared. On post-operative CT scans, the placement of each screw was assessed using the Gertzbein-Robbins classification. Finally, imaging Matta criteria were used to assess the sacroiliac joint fracture reduction. The Majeed functional score was used to assess clinical function.
RESULTS: Both groups successfully completed 57 procedures in total. In both groups, there were no consequences from vascular injury, wound infection, or urinary tract infection. Additionally, there were no complications from robotic-induced nerve injury, operating time, fluoroscopic dose, and the frequency of fluoroscopic; the number of percutaneous punctures in the RA group was lower than that of the CF group.There were statistically significant differences between the aforementioned data (P < 0.05). The modified Matta evaluated the effectiveness of fracture reduction. In the RA group, there was no statistically significant difference between the CF group (P > 0.05). According to the modified Gertzbein-Robbins classification criteria, the 54 screws implanted in the RA group were classified as follows: class A (45), class B (5), class C (4), and class D (0); the accuracy rate of the implants was 92.59%. Forty-two screws implanted in the CF group, 30 screws were defined class A, class B (3), class C (7), and class D (2). The accuracy rate of the implants was 78.57%(χ2 = 3.967, P < 0.05). There was a statistically significant difference between the two groups. The Majeed score 30 patients in RA group, one month post-operation, 16 considered exceptional, eight decent, six moderate, and zero bad. Post-operation more than six months,25 recorded exceptional, five decent. By the time,27 patients in CF group,12 exceptional grade, eight decent, six moderate, and one bad,one month post-operation. Post-operation more than six months,22 recorded exceptional, five decent.Both group (P > 0.05).
CONCLUSION: “TiRobot” robot-assisted screw implant treatment for unstable posterior pelvic ring injury has a greater success rate than traditional surgery as compared to conventional percutaneous screw implant. It is a precise, secure, and minimally invasive surgical technique that can also be applied to severe pelvic injuries even congenital sacral deformities.
PMID:36572784 | DOI:10.1007/s00264-022-05655-z
Mol Cell Biochem. 2022 Dec 27. doi: 10.1007/s11010-022-04622-x. Online ahead of print.
ABSTRACT
The study’s objective was to ascertain the results of sub-chronic therapy of various diuretics on the ischemia/reperfusion dysfunction of the heart in hypertensive rats by a global ischemia in an isolated rat heart model. The research included 40 spontaneously hypertensive male rats (Wistar Kyoto strain, body mass 250 ± 30 g, 8 weeks old) grouped into four groups. The animals were treated for 4 weeks with 10 mg/kg of hydrochlorothiazide, indapamide, or spironolactone per os. After a period of sub-chronic treatment, we analyzed hemodynamic measurements, echocardiography, and myocardial function according to the Langendorff retrograde perfusion method. The hearts were subjected to 20 min of global ischemia and then reperfused for 30 min (I20:R30). Cardiovascular parameters that depict the left ventricle functions were continuously monitored, while flowmetry was used to determine coronary flow values. Markers of oxidative stress were estimated from coronary venous effluent using spectrophotometry. All three examined diuretics (hydrochlorothiazide, spironolactone, indapamide) lowered the production of the majority of the detected prooxidants, reducing myocardial oxidative damage. The cardiological examination of heart function in vivo demonstrated that treatment with indapamide and spironolactone mitigates left ventricular hypertrophy but without significant lowering of blood pressure or increment in ejection fraction. Additionally, monitoring of cardiac function ex vivo indicated the cardiodepressant effect of spironolactone in spontaneously hypertensive rats.
PMID:36572765 | DOI:10.1007/s11010-022-04622-x
Heart Fail Rev. 2022 Dec 27. doi: 10.1007/s10741-022-10292-0. Online ahead of print.
ABSTRACT
Patients recovered from COVID-19 have an increased incidence of cardiovascular disease and heart structural changes. The aim of the present manuscript is to assess the risk of incident heart failure (HF) after COVID-19 infection. Data were obtained searching MEDLINE and Scopus for all studies published at any time up to September 1, 2022 reporting the risk of incident HF in COVID-19 recovered patients. The cumulative post-COVID-19 incidence and risk of incident HF were pooled using a random effects model and presented with the corresponding 95% confidence interval (CI). Statistical heterogeneity was measured using the Higgins I2 statistic. Overall, 21,463,173 patients (mean age 54.5 years, 58.7% males) were analyzed. Among them, 1,628,424 had confirmed COVID-19 infection while the remaining 19,834,749 represented the controls. The mean length of follow-up was 9.2 months. A random effect model revealed a pooled incidence of post COVID-19 HF in 1.1% of cases (95% CI: 0.7-1.6, I2: 99.8%). Moreover, recovered COVID-19 patients showed an increased risk of incident HF (HR: 1.90, 95% CI: 1.54-3.24, p < 0.0001, I2 = 96.5%) in the same follow-up period. Meta-regression showed a direct relationship for the risk of incident HF using age (p = 0.001) and hypertension (HT) (p = 0.02) as moderators, while an inverse association was observed when the follow-up length was adopted as moderating variable (p = 0.01). COVID-19 survivors had an additional 90% risk of developing HF after COVID-19 infection in the long-term period. This risk was directly related with age and previous history of HT especially in the early post-acute phase of the infection.
PMID:36572763 | DOI:10.1007/s10741-022-10292-0
Sci Rep. 2022 Dec 26;12(1):22372. doi: 10.1038/s41598-022-26131-z.
ABSTRACT
Patients with advanced non-small cell lung cancer (NSCLC) are prone to brain metastases (BM), which essentially include brain parenchymal metastases (PM) and leptomeningeal metastases (LM). We conducted a retrospective study to comprehensively assess the clinical characteristics and risk factors of patients with advanced NSCLC who develop PM and LM. Patients with advanced NSCLC were enrolled. These patients were then divided into three groups for analysis: patients without BM (No-BM), patients with PM and patients with LM. Data on clinical characteristics of each patient at the time of diagnosis advanced NSCLC were extracted and analyzed. In addition, prediction models were developed and evaluated for PM and LM. A total of 592 patients were enrolled in the study. BM was present in 287 patients (48.5%). Among them, 185 and 102 patients had PM or LM. Patients with LM had a higher proportion of EGFR exon 21point mutations (L858R) compared to patients with No-BM and PM (p < 0.0001). The median time to the onset of PM and LM from the diagnosis of advanced NSCLC was 0 months and 8.3 months, respectively. Patients with LM had a statistically shorter over survival (OS) compared to either No-BM or PM patients (p < 0.0001). Based on independent predictive variables, two nomogram models were constructed to predict the development of PM and LM in advanced NSCLC patients, and the C-indexes were 0.656 and 0.767, respectively. Although both considered as BM, PM and LM had different clinical characteristics. And the nomogram showed good performance in predicting LM development, but not PM.
PMID:36572759 | DOI:10.1038/s41598-022-26131-z
Ann Intern Med. 2022 Dec 27. doi: 10.7326/M22-0844. Online ahead of print.
ABSTRACT
Risk prediction models need thorough validation to assess their performance. Validation of models for survival outcomes poses challenges due to the censoring of observations and the varying time horizon at which predictions can be made. This article describes measures to evaluate predictions and the potential improvement in decision making from survival models based on Cox proportional hazards regression. As a motivating case study, the authors consider the prediction of the composite outcome of recurrence or death (the “event”) in patients with breast cancer after surgery. They developed a simple Cox regression model with 3 predictors, as in the Nottingham Prognostic Index, in 2982 women (1275 events over 5 years of follow-up) and externally validated this model in 686 women (285 events over 5 years). Improvement in performance was assessed after the addition of progesterone receptor as a prognostic biomarker. The model predictions can be evaluated across the full range of observed follow-up times or for the event occurring by the end of a fixed time horizon of interest. The authors first discuss recommended statistical measures that evaluate model performance in terms of discrimination, calibration, or overall performance. Further, they evaluate the potential clinical utility of the model to support clinical decision making according to a net benefit measure. They provide SAS and R code to illustrate internal and external validation. The authors recommend the proposed set of performance measures for transparent reporting of the validity of predictions from survival models.
PMID:36571841 | DOI:10.7326/M22-0844
J Prosthodont. 2022 Dec 26. doi: 10.1111/jopr.13633. Online ahead of print.
ABSTRACT
PURPOSE: To compare the accuracy of three intraoral scanners (IOSs) in terms of trueness and precision relative to the scanner acquisition technology and scan capture mode. Scan speed of each scanner was also evaluated.
MATERIALS AND METHODS: An edentulous maxillary arch was digitized (reference model) and 3D-printed using an SLA-based 3D-printer (XFAB; DWS, Italy) (n = 10). Each model was scanned using three intraoral scanners, each with different scan technology: Confocal (Trios 3; 3Shape, Copenhagen, Denmark), Parallel confocal (iTero; Align Technology) and Triangulation (Medit i700). Scan time and scanning accuracy (trueness and precision) were calculated using digital subtraction technique (Geomagic Control X v2020, 3DSystems, USA). One way analysis of variance (ANOVA) test was used to detect differences in trueness, precision and scanning time between the tested groups (P < .05).
RESULTS: ANOVA results showed statistically significant differences in trueness, precision, and scan time among the tested groups. Confocal scanning technique (Trios 3) showed the highest trueness and precision (RMSE 0.094, 0.096 respectively) followed by iTero displaying parallel confocal technique (RMSE 0.113, 0.133 respectively), the difference was not significant (P = 0.849, P = 0.488). Further, Trios showed the longest scanning time (100 seconds) compared to iTero and Medit i700 (P = 0.011, 0.002 respectively). Medit i700 presenting triangulation scan technology revealed lowest trueness and precision (RMSE 0.268) (P = 0.000, P = 001) and fastest scan time (59 seconds) close to iTero (66 seconds) (P = 0.802).
CONCLUSIONS: Scanner technology had an influence on the accuracy and scan speed of the acquired intraoral scans. The Trios 3 scanner featuring the confocal acquisition technology displayed the highest trueness, precision, and longest scan time. Medit i700 IOS with triangulation acquisition concept featured the lowest trueness, precision, and fastest scan speed. There is no ideal scanner with the best combination of accuracy and scan speed. This article is protected by copyright. All rights reserved.
PMID:36571837 | DOI:10.1111/jopr.13633
J Infus Nurs. 2023 Jan-Feb 01;46(1):36-42. doi: 10.1097/NAN.0000000000000495.
ABSTRACT
This study was conducted as a quasiexperimental, single-blind study to examine the effect of cold therapy on pain and anxiety during port needle removal. Patients in the experimental group received cold therapy 10 minutes before port needle removal. Patients in the control group received no intervention before port needle removal. Data were collected using the visual analog scale (VAS) and State-Trait Anxiety Inventory (STAI). After cold therapy was applied to the patients in the experimental group, the second and third VAS scores were found to be statistically significant and lower than those in the control group (P < .05). There was no statistically significant difference between the anxiety levels of the experimental group and the control group before cold therapy (P> .005). However, the STAI scores of the experimental group were found to be statistically and significantly lower than those of the control group after cold therapy (P < .05). This study determined that cold therapy before port needle removal reduces pain and anxiety. Cold therapy may be recommended as an effective nonpharmacological pain control method with ease of application to prevent pain induced by port needle removal.
PMID:36571826 | DOI:10.1097/NAN.0000000000000495
Age Ageing. 2022 Dec 5;51(12):afac277. doi: 10.1093/ageing/afac277.
ABSTRACT
BACKGROUND: COVID-19 pandemic has indirect impacts on patients with chronic medical conditions, which may increase mortality risks for various non-COVID-19 causes. This study updates excess death statistics for Alzheimer’s disease (AD) and Parkinson’s disease (PD) up to 2022 and evaluates their demographic and spatial disparities in the USA.
METHODS: This is an ecological time-series analysis of AD and PD mortality in the USA from January 2018 to March 2022. Poisson log-linear regressions were utilised to fit the weekly death data. Excess deaths were calculated with the difference between the observed and expected deaths under a counterfactual scenario of pandemic absence.
RESULTS: From March 2020 to March 2022, we observed 41,115 and 10,328 excess deaths for AD and PD, respectively. The largest percentage increases in excess AD and PD deaths were found in the initial pandemic wave. For people aged ≥85 years, excess mortalities of AD and PD (per million persons) were 3946.0 (95% confidence interval [CI]: 2954.3, 4892.3) and 624.3 (95% CI: 369.4, 862.5), which were about 23 and 9 times higher than those aged 55-84 years, respectively. Females had a three-time higher excess mortality of AD than males (182.6 vs. 67.7 per million persons). The non-Hispanic Black people experienced larger increases in AD or PD deaths (excess percentage: 31.8% for AD and 34.6% for PD) than the non-Hispanic White population (17.1% for AD and 14.7% for PD).
CONCLUSION: Under the continuing threats of COVID-19, efforts should be made to optimise health care capacity for patients with AD and PD.
PMID:36571781 | DOI:10.1093/ageing/afac277