Category: Statistics

J Chest Surg. 2024 Mar 13. doi: 10.5090/jcs.23.118. Online ahead of print.

ABSTRACT

BACKGROUND: Venoarterial extracorporeal membrane oxygenation (ECMO) is a key treatment method used with patients in cardiac arrest who do not respond to medical treatment. A critical step in initiating therapy is the insertion of ECMO cannulas. Peripheral ECMO cannulation methods have been preferred for extracorporeal cardiopulmonary resuscitation (ECPR).

METHODS: Patients who underwent ECPR at Daegu Catholic University Medical Center between January 2017 and May 2023 were included in this study. We analyzed the impact of 2 different peripheral cannulation strategies (surgical cutdown vs. percutaneous cannulation) on various factors, including survival rate.

RESULTS: Among the 99 patients included in this study, 66 underwent surgical cutdown, and 33 underwent percutaneous insertion. The survival to discharge rates were 36.4% for the surgical cutdown group and 30.3% for the percutaneous group (p=0.708). The ECMO insertion times were 21.3 minutes for the surgical cutdown group and 10.3 minutes for the percutaneous group (p<0.001). The factors associated with overall mortality included a shorter low-flow time (hazard ratio [HR], 1.045; 95% confidence interval [CI], 1.019-1.071; p=0.001) and whether return of spontaneous circulation was achieved (HR, 0.317; 95% CI, 0.127-0.787; p=0.013). Low-flow time was defined as the time from the start of cardiopulmonary resuscitation to the completion of ECMO cannula insertion.

CONCLUSION: No statistically significant difference in in-hospital mortality was observed between the surgical and percutaneous groups. However, regardless of the chosen cannulation strategy, reducing ECMO cannulation time was beneficial, as a shorter low-flow time was associated with significant benefits in terms of survival.

PMID:38472119 | DOI:10.5090/jcs.23.118

Int Wound J. 2024 Mar;21(3):e14783. doi: 10.1111/iwj.14783.

ABSTRACT

Endoscopic submucosa dissection (ESD) has been applied extensively in the treatment of large intestine tumours due to its high total excision ratio. Nevertheless, there is a high incidence of adverse reactions in colon ESD, and the efficacy of prophylactic ESD following ESD in prevention of postoperative haemorrhage is still disputed. The purpose of this meta-analysis is to evaluate the effectiveness of prophylaxis of wound closure in large intestine ESD after operation. For eligibility, we looked through three databases: PubMed, Embase and Cochrane Library. Heterogenity was measured by means of a chi-square method of Q-statistic and an I2 test. Fixed or random effects models were used for data processing. Based on the retrieval policy, we found a total of 1286 papers, and then we collected nine papers to extract the data. Regarding postoperative haemorrhage, there was a significant reduction in the risk of wound haemorrhage in the wound closure group than in the control group (OR, 0.29; 95% CI, 0.19-0.44 p < 0.0001). No statistical significance was found in the incidence of perforation in the wound closure and the control group (OR, 0.45; 95% CI, 0.19-1.03 p = 0.06). There was a significant reduction in the incidence of postoperation fever among those in the wound closure group than in the control group (OR, 0.37; 95% CI, 0.15-0.93 p = 0.04). Preventive endoscopic closure decreased the rate of ESD in colon disease, but did not significantly decrease the rate of postoperation perforation and postoperative fever. Future research will be required to clarify the risk factors and classify high-risk individuals in order to formulate a cost-effective prevention strategy.

PMID:38472107 | DOI:10.1111/iwj.14783

J Comput Chem. 2024 Mar 12. doi: 10.1002/jcc.27340. Online ahead of print.

ABSTRACT

Solvent plays an essential role in a variety of chemical, physical, and biological processes that occur in the solution phase. The reference interaction site model (RISM) and its three-dimensional extension (3D-RISM) serve as powerful computational tools for modeling solvation effects in chemical reactions, biological functions, and structure formations. We present the RISM integrated calculator (RISMiCal) program package, which is based on RISM and 3D-RISM theories with fast GPU code. RISMiCal has been developed as an integrated RISM/3D-RISM program that has interfaces with external programs such as Gaussian16, GAMESS, and Tinker. Fast 3D-RISM programs for single- and multi-GPU codes written in CUDA would enhance the availability of these hybrid methods because they require the performance of many computationally expensive 3D-RISM calculations. We expect that our package can be widely applied for chemical and biological processes in solvent. The RISMiCal package is available at https://rismical-dev.github.io.

PMID:38472097 | DOI:10.1002/jcc.27340

Nutr Diet. 2024 Mar 12. doi: 10.1111/1747-0080.12868. Online ahead of print.

ABSTRACT

AIM: This study aimed to explore food insecurity prevalence and experiences of adults with severe mental illness living in Northern England.

METHODS: This mixed-methods cross-sectional study took place between March and October 2022. Participants were adults with self-reported severe mental illness living in Northern England. The survey included demographic, health, and financial questions. Food insecurity was measured using the US Department of Agriculture Adult Food Security measure. Quantitative data were analysed using descriptive statistics and binary logistic regression; and qualitative data using content analysis.

RESULTS: In total, 135 participants completed the survey, with a mean age of 44.7 years (SD: 14.1, range: 18-75 years). Participants were predominantly male (53.3%), white (88%) and from Yorkshire (50.4%). The food insecurity prevalence was 50.4% (n = 68). There was statistical significance in food insecurity status by region (p = 0.001); impacts of severe mental illness on activities of daily living (p = 0.02); and the Covid pandemic on food access (p < 0.001). The North West had the highest prevalence of food insecurity (73.3%); followed by the Humber and North East regions (66.7%); and Yorkshire (33.8%). In multivariable binary logistic regression, severe mental illness’ impact on daily living was the only predictive variable for food insecurity (odds ratio = 4.618, 95% confidence interval: 1.071-19.924, p = 0.04).

CONCLUSION: The prevalence of food insecurity in this study is higher than is reported in similar studies (41%). Mental health practitioners should routinely assess and monitor food insecurity in people living with severe mental illness. Further research should focus on food insecurity interventions in this population.

PMID:38472093 | DOI:10.1111/1747-0080.12868

J Prosthet Dent. 2024 Mar 12:S0022-3913(24)00142-2. doi: 10.1016/j.prosdent.2024.02.020. Online ahead of print.

ABSTRACT

STATEMENT OF PROBLEM: Capturing accurate complete arch digital implant scans remains a challenging process because of the lack of recognizable anatomic landmarks. The effect of modified scan bodies (SBs) on improving scanning accuracy is unclear.

PURPOSE: The purpose of this in vitro study was to evaluate and compare the accuracy of a maxillary complete arch digital implant scan when using a specially designed geometric device with the accuracy of modified scan bodies.

MATERIAL AND METHODS: Four implants were placed in an edentulous maxillary model made of porous bone material with polyurethane attached gingiva. Scan bodies were attached to the implants and then digitized with a high precision laboratory scanner to create the reference scan. Round depressions were made on the buccal and palatal surfaces of the scan bodies, and the model was scanned with an intraoral scanner using 4 different scenarios: the model with no geometric device or modified scan bodies (ND-NM), device only without modified scan bodies (D-NM), no device but with modified scan bodies (ND-M), and device with modified scan bodies (D-M). Each group was scanned 10 times for a total of 40 scans. Trueness and precision were evaluated using inspection software to measure the 3D surface deviation. Trueness was measured by superimposing each test scan on the reference scan, and precision was calculated by superimposing the test scans of the same group with each other. Data were analyzed using the GraphPad Prism version 8.0.0 software program. Two-way ANOVA was performed to assess the effect of the device and modifications on trueness and precision (α=.05).

RESULTS: Both the geometric device and SB modifications had a significantly significant effect on trueness and precision (P<.001). Regarding trueness, group D-M had the lowest mean and standard deviation (0.158 ±0.028 mm) in contrast with group ND-NM, which had the highest deviation (0.282 ±0.038 mm). In terms of precision, group D-M showed the lowest mean and standard deviation (0.134 ±0.013 mm), while group ND-NM revealed the highest deviation (0.222 ±0.031 mm). However, no statistically significant interaction was found between the device and modifications regarding either trueness or precision (P>.05).

CONCLUSIONS: Using a specially designed geometric device improved both the trueness and precision of complete arch digital implant scans. The modified SBs had a positive influence on the scanning trueness and precision, and the best accuracy was achieved when using the geometric device and the modified SBs simultaneously.

PMID:38472074 | DOI:10.1016/j.prosdent.2024.02.020

Acad Radiol. 2024 Mar 11:S1076-6332(24)00096-5. doi: 10.1016/j.acra.2024.02.026. Online ahead of print.

ABSTRACT

RATIONALE AND OBJECTIVES: To assess image quality, contrast volume and radiation dose reduction potential and diagnostic performance with the use of high-strength deep learning image reconstruction (DLIR-H) in transcatheter aortic valve implantation (TAVI) planning CT.

METHODS: We prospectively enrolled 128 patients referred to TAVI-planning CT. Patients were randomly divided into two groups: DLIR-H group (n = 64) and conventional group (n = 64). The DLIR-H group was scanned with tube voltage of 80kVp and body weighted-dependent contrast injection rate of 28mgI/kg/s, images reconstructed using DLIR-H; the conventional group was scanned with 100kVp and contrast injection rate of 40mgI/kg/s, and images reconstructed using adaptive statistical iterative reconstruction-V at 50% (ASIR-V 50%). Radiation dose, contrast volume, contrast injection rate, and image quality were compared between the two groups. The diagnostic performance of TAVI planning CT for coronary stenosis in 115 patients were calculated using invasive coronary angiography as golden standard.

RESULTS: DLIR-H group significantly reduced radiation dose (4.94 ± 0.39mSv vs. 7.93 ± 1.20mSv, p < 0.001), contrast dose (45.28 ± 5.38 mL vs. 63.26 ± 9.88 mL, p < 0.001), and contrast injection rate (3.1 ± 0.31 mL/s vs. 4.9 ± 0.2 mL/s, p < 0.001) compared to the conventional group. Images in DLIR-H group had significantly higher SNR and CNR (all p < 0.001). For the diagnostic performance on a per-patient basis, TAVI planning CT in the DLIR-H group provided 100% sensitivity, 92.1% specificity, 100% negative predictive value (NPV), and 84.2% positive predictive value for the detection of > 50% stenosis. In the conventional group, the corresponding results were 94.7%, 95.3%, 97.6%, and 90.0%, respectively.

CONCLUSION: DLIR-H in TAVI-planning CT provides improved image quality with reduced radiation and contrast doses, and enables satisfactory diagnostic performance for coronary arteries stenosis.

PMID:38472024 | DOI:10.1016/j.acra.2024.02.026

Burns. 2024 Feb 1:S0305-4179(24)00014-7. doi: 10.1016/j.burns.2024.01.013. Online ahead of print.

ABSTRACT

BACKGROUND: A considerable number of burn patients have greater psychological stress due to the special trauma site. In clinical practice, it is found that medical staff pay more attention to the rehabilitation of physical function, while the mental health status of patients is greatly neglected. In contact with patients, we found that attention should be paid to the levels of stigma and self-esteem. However, there are few studies on stigma and self-esteem in patients with facial burns. Therefore, this study aimed to describe the stigma and self-esteem levels of facial burns, investigate the relationship between these two variables, and explore the influencing factors of stigma in patients with facial burns, in order to provide evidence for follow-up interventions to improve this population.

METHODS: From August 2020 to June 2021, we recruited patients with facial burns who met the inclusion criteria in one burn specialist clinic and three burn units of a tertiary A hospital in Guangzhou, China. The survey tools of this study include sociodemographic and disease-related information questionnaires, the Chinese version of the Social Impact Scale, and the self-esteem scale (these scales were validated). SPSS 25.0 software was used for data analysis through t test, analysis of variance, correlation analysis, multiple linear regression method for data statistics.

RESULTS: The total stigma score of facial burn patients was (58.01 ± 7.57), which was at a medium level; the self-esteem score was (19.72 ± 2.43), which was at a low level. Correlation analysis showed that there was a positive correlation between the self-esteem score and the total score of stigma (r = 0.286, P < 0.01). The family per capita monthly income, education level, way of medical expenses expenditure, and self-esteem of facial burn patients were the influencing factors of their stigma, and these factors explained 33.7% of the variation in stigma (F=8.659, P＜0.01).

CONCLUSIONS: Patients with facial burns have low levels of stigma and self-esteem, which requires our efforts. In particular, there is a positive correlation between stigma and self-esteem, and self-esteem is an independent risk factor affecting stigma. Our findings suggest that interventions aimed at enhancing self-esteem have the potential to positively impact the reduction of stigma in this patient population.

PMID:38472001 | DOI:10.1016/j.burns.2024.01.013

Ultrasound Med Biol. 2024 Mar 11:S0301-5629(24)00105-4. doi: 10.1016/j.ultrasmedbio.2024.02.006. Online ahead of print.

ABSTRACT

OBJECTIVE: The purpose of this study was to assess cardiac shear wave imaging implemented in a new MACH 30 ultrasound machine (SuperSonic Imaging, Aix-en-Provence, France) and interfaced with a linear probe and a phased array probe, in comparison with a previously validated Aixplorer system connected to a linear probe (SuperSonic Imaging) using Elasticity QA phantoms (Models 039 and 049, CIRS Inc., Norfolk, VA, USA).

METHODS: Quantile-quantile plots were used for distribution agreement. The accuracy of stiffness measurement was assessed by the percentage error and the mean percentage error (MPE), and its homogeneity, by the standard deviation of the MPE. A p value <0.01 was considered to indicate statistical significance.

RESULTS: The accuracy of dedicated cardiac sequences for linear probes was similar for the two systems with an MPE of 8 ± 14% versus 20 ± 21% (p = not significant) with the SuperSonic MACH 30 and Aixplorer, respectively, and was influenced by target stiffness and location of the measurement in the field of view, but without drift over time. The optimal transthoracic cardiac probe workspace was located between 4 and 10 cm, with an MPE of 29.5 ± 25% compared with 93.3 ± 130% outside this area (p < 0.0001). In this area, stiffness below 20 kPa was significantly different from the reference (p < 0.0001). The sectorial probe revealed no MPE difference in any of the measurement areas, with no significant lateral or axial gradient.

CONCLUSION: The new Supersonic MACH 30 system upgraded with a sectorial probe and specific cardiac settings provided homogenous stiffness measurements, especially when operating at depths between 4 and 10 cm. These phantom results may be useful in designing future in vivo studies.

PMID:38471998 | DOI:10.1016/j.ultrasmedbio.2024.02.006

Pediatr Neonatol. 2024 Mar 6:S1875-9572(24)00021-4. doi: 10.1016/j.pedneo.2024.01.005. Online ahead of print.

ABSTRACT

BACKGROUND: Acute gastroenteritis (AGE) is a common cause of pediatric morbidity and mortality worldwide. AGE can cause an imbalance in the intestinal microbiota. This study aimed to investigate the diversity of the gut microbiome in Korean children hospitalized for infectious AGE at a university hospital.

METHODS: A total of 23 stool samples from patients aged 5 months to 11 years with AGE were analyzed. Thirteen convalescent stool samples were collected 1 month after discharge. Multiplex polymerase chain reaction (PCR) for the five viruses and 16 bacteria-specific AGE pathogens (PowerChek Multiplex Real time PCR Kit, Seoul, Korea), and 16s rRNA sequencing (Illumina MiSeq Sequencing system, Illumina, USA) were performed.

RESULTS: According to the results of multiplex PCR for causative pathogens, the microbiome taxonomic profile (MTP) of the gut microbiome in three groups of AGE, norovirus AGE (n = 11), Campylobacter AGE (n = 7) and Salmonella AGE (n = 5) was compared. The phylum Actinobacteria was significantly more abundant in the norovirus AGE (P = 0.011), whereas the phylum Proteobacteria was significantly more abundant in Salmonella AGE (P = 0.012). Alpha diversity, which indicates species richness and diversity, showed no statistical differences. However, beta diversity, representing the similarity in MTP between norovirus, Campylobacter, and Salmonella AGE, was significantly different (P = 0.007). In convalescence, compared with their corresponding AGE samples, the phylum Firmicutes; and the lower taxa Christensenellaceae (P = 0.0152) and Lachnospiraceae (P = 0.0327) were significantly increased.

CONCLUSIONS: In pediatric AGE, the type of infectious agent can affect the diversity and dominance of gut microbiota in pediatric patients. Furthermore, healthy gut bacteria increased during the period of 1 month after infection, allowing a return to a healthy state without causing long-term dysbiosis.

PMID:38471992 | DOI:10.1016/j.pedneo.2024.01.005

J Magn Reson Imaging. 2024 Mar 12. doi: 10.1002/jmri.29344. Online ahead of print.

ABSTRACT

BACKGROUND: Early and accurate identification of lymphatic node metastasis (LNM) and lymphatic vascular space invasion (LVSI) for endometrial cancer (EC) patients is important for treatment design, but difficult on multi-parametric MRI (mpMRI) images.

PURPOSE: To develop a deep learning (DL) model to simultaneously identify of LNM and LVSI of EC from mpMRI images.

STUDY TYPE: Retrospective.

POPULATION: Six hundred twenty-one patients with histologically proven EC from two institutions, including 111 LNM-positive and 168 LVSI-positive, divided into training, internal, and external test cohorts of 398, 169, and 54 patients, respectively.

FIELD STRENGTH/SEQUENCE: T2-weighted imaging (T2WI), contrast-enhanced T1WI (CE-T1WI), and diffusion-weighted imaging (DWI) were scanned with turbo spin-echo, gradient-echo, and two-dimensional echo-planar sequences, using either a 1.5 T or 3 T system.

ASSESSMENT: EC lesions were manually delineated on T2WI by two radiologists and used to train an nnU-Net model for automatic segmentation. A multi-task DL model was developed to simultaneously identify LNM and LVSI positive status using the segmented EC lesion regions and T2WI, CE-T1WI, and DWI images as inputs. The performance of the model for LNM-positive diagnosis was compared with those of three radiologists in the external test cohort.

STATISTICAL TESTS: Dice similarity coefficient (DSC) was used to evaluate segmentation results. Receiver Operating Characteristic (ROC) analysis was used to assess the performance of LNM and LVSI status identification. P value <0.05 was considered significant.

RESULTS: EC lesion segmentation model achieved mean DSC values of 0.700 ± 0.25 and 0.693 ± 0.21 in the internal and external test cohorts, respectively. For LNM positive/LVSI positive identification, the proposed model achieved AUC values of 0.895/0.848, 0.806/0.795, and 0.804/0.728 in the training, internal, and external test cohorts, respectively, and better than those of three radiologists (AUC = 0.770/0.648/0.674).

DATA CONCLUSION: The proposed model has potential to help clinicians to identify LNM and LVSI status of EC patients and improve treatment planning.

EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.

PMID:38471960 | DOI:10.1002/jmri.29344