The Distribution of Carbapenem-Resistant Acinetobacter Species and High Prevalence of CC92 OXA-23-Producing Acinetobacter Baumannii in Community Hospitals in South Korea.

Background: Clinical isolates of Acinetobacter species in South Korea are continuously exhibiting high rates of antimicrobial resistance to carbapenems, indicating that there are public health concerns among both healthcare-associated infections and community-associated infections. The aim of this study was to describe the prevalence and characteristics of carbapenem-resistant Acinetobacter isolates originating from community hospitals. Materials and Methods: A total of 817 non-duplicated Acinetobacter species were isolated from December 2022 to July 2023 at long-term care facilities and general hospitals in 16 regions geographically distributed throughout South Korea. Bacterial identification and antimicrobial susceptibility testing were performed using the VITEK-2 system. The bacteria were identified as Acinetobacter baumannii by blaOXA-51 PCR and as non-baumannii Acinetobacter species by rpoB sequence analysis. The carbapenem resistance genes (OXA-23, OXA-48, OXA-58, IMP, VIM, NDM, GES, and KPC) were identified via PCR and sequencing. The genetic relatedness of carbapenem-resistant A. baumannii (CRAB) isolates was assessed by multilocus sequence typing. Results: A total of 659 A. baumannii and 158 non-baumannii Acinetobacter isolates, comprising 19 different species, were identified in all 16 regions. The carbapenem resistance rate was 87.4% (n=576) for the A. baumannii isolates, and all the strains produced blaOXA-23. For non-baumannii Acinetobacter, the rate of carbapenem resistance was 8.9% (n=14); this resistance was primarily caused by blaOXA-23 (n=9), followed by blaNDM-1 (n=3) and blaVIM-2 (n=2). Of the 576 CRAB isolates, clonal complex 92 (CC92) was the predominant genotypes, followed by sequence type 229 (ST229), ST373, ST397, ST447, and ST620. Conclusion: Our results showed the distribution of Acinetobacter species and showed that CC92 CRAB clinical isolates with widespread production of blaOXA-23 were predominant in community hospitals. Our findings suggest that there is a need for urgent and effective methods to reduce carbapenem resistance in A. baumannii in South Korea.

Dysfunctional Beliefs and Attitudes about Sleep-6 (DBAS-6): Data-driven shortened version from a machine learning approach.

BACKGROUND: The Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS-16) is a widely used self-report instrument for identifying sleep-related cognition. However, its length can be cumbersome in clinical practice. This study aims to develop a data-driven shortened version of the DBAS-16 that efficiently predicts the DBAS-16 total score among the general population. METHODS: We collected 1000 responses to the DBAS-16 from the general population through three separate surveys, each focusing on different aspects of insomnia severity and related factors. Using Exploratory Factor Analysis (EFA) on the survey responses, we grouped DBAS-16 items based on response pattern similarities. The most representative item from each group, showing the highest regression performance with eXtreme Gradient Boosting (XGBoost) in predicting the DBAS-16 total score, was selected to create a shortened version of the DBAS-16. RESULTS: Through EFA and XGBoost, we categorized the DBAS-16 items into six distinct groups. Selecting one item from each group, based on the highest coefficient of determination R2 values in predicting the DBAS-16 total score. After measuring the R2 values for all possible combinations of six items, items 4, 5, 7, 11, 13, and 15 were chosen, exhibiting the highest R2 value. Based on these six items, we developed the DBAS-6, a data-driven shortened version of the DBAS-16. The DBAS-6 exhibited outstanding predictive ability, achieving the highest R2 value of 0.90 for predicting the DBAS-16 total score, surpassing that of a previously developed shortened version. Notably, the DBAS-6 efficiently encapsulates the core aspects of the DBAS-16 and demonstrates robust predictive power over heterogeneous test data samples with distinct statistical characteristics from the training data. CONCLUSION: With its concise format and high predictive accuracy, the DBAS-6 offers a practical tool for assessing dysfunctional beliefs about sleep in clinical settings.

Do caring teachers protect African American youth with adverse adolescent experiences from risky behaviors?

The current study aims to fill the existing research gaps by investigating the role of teacher care in protecting African American adolescents in under-resourced neighborhoods from negative outcomes of adverse life events. The study included 638 adolescents from four under-resourced neighborhoods in Chicago's Southside who were assessed to determine the moderating role of caring teachers on the relationship between adverse adolescent experiences and risky sexual behaviors, substance use, bullying perpetration, and violent behaviors. Caring teachers had a significant moderating effect on the association between adverse experiences and both bullying perpetration and violent behaviors. Adolescents who perceived their teachers as caring showed lower tendencies towards bullying and violence, even if they had adverse experiences. These results highlight the crucial role of teacher care in supporting African American adolescents from under-resourced neighborhoods who have experienced adverse life events. It emphasizes educators' role in shaping our youth's future, especially those facing adversity and at a crossroads in their lives.

Despite adverse life events, adolescents who perceived their teachers as caring were less at risk of engaging in bullying and violence. Caring teachers are especially important for African American adolescents in under-resourced neighborhoods.

Risk factors for failing to complete gemcitabine-cisplatin neoadjuvant chemotherapy in muscle invasive bladder cancer patients.

PURPOSE: We evaluated the risk factors associated with failure to complete gemcitabine-cisplatin (GP) neoadjuvant chemotherapy (NAC) for muscle-invasive bladder cancer (MIBC). MATERIALS AND METHODS: In total, 231 patients with MIBC treated with NAC before undergoing radical cystectomy between 2013 and 2022 participated in this study. Logistic regression analysis was performed to assess the relationship between the likelihood of incomplete NAC and clinical and demographic variables, including age, sex, hypertension (HTN), diabetes mellitus (DM), prechemotherapy glomerular filtration rate, clinical T stage, clinical N stage, and body mass index (BMI). RESULTS: Of 231 patients, 209 (90.5%) and 22 (9.5%) completed and discontinued the NAC course, respectively. The mean age was 66.13±9.15, 65.63±9.07, and 70.86±8.66 years for the total sample, continuation, and discontinuation groups, respectively (p=0.010). No significant inter-group differences in sex, HTN, height, weight, BMI, pre-chemotherapy glomerular filtration rate, clinical T stage, or clinical N stage were observed. According to the results of the multivariable analysis, age (odds ratio [OR] 1.076, 95% confidence interval [CI] 1.013-1.143, p=0.018) and the presence of DM (OR 2.541, 95% CI 1.028-6.281, p=0.043) were significantly associated with NAC discontinuation. CONCLUSIONS: Thus, older age and presence of DM are potential risk factors for GP NAC discontinuation in patients with MIBC. Further studies are required to validate our findings and develop strategies to minimize the rate of GP NAC discontinuation in this population.

A randomized, double-blind, placebo-controlled phase I clinical trial of rotavirus inactivated vaccine (Vero cell) in a healthy adult population aged 18-49 years to assess safety and preliminary observation of immunogenicity.

We conducted a phase I, randomized, double-blind, placebo-controlled trial including healthy adults in Sui County, Henan Province, China. Ninety-six adults were randomly assigned to one of three groups (high-dose, medium-dose, and low-dose) at a 3:1 ratio to receive one vaccine dose or placebo. Adverse events up to 28 days after each dose and serious adverse events up to 6 months after all doses were reported. Geometric mean titers and seroconversion rates were measured for anti-rotavirus neutralizing antibodies using microneutralization tests. The rates of total adverse events in the placebo group, low-dose group, medium-dose group, and high-dose group were 29.17 % (12.62 %-51.09 %), 12.50 % (2.66 %-32.36 %), 50.00 % (29.12 %-70.88 %), and 41.67 % (22.11 %-63.36 %), respectively, with no significant difference in the experimental groups compared with the placebo group. The results of the neutralizing antibody assay showed that in the adult group, the neutralizing antibody geometric mean titer at 28 days after full immunization in the low-dose group was 583.01 (95 % confidence interval [CI]: 447.12-760.20), that in the medium-dose group was 899.34 (95 % CI: 601.73-1344.14), and that in the high-dose group was 1055.24 (95 % CI: 876.28-1270.75). The GMT of serum-specific IgG at 28 days after full immunization in the low-dose group was 3444.26 (95 % CI: 2292.35-5175.02), that in the medium-dose group was 6888.55 (95 % CI: 4426.67-10719.6), and that in the high-dose group was 7511.99 (95 % CI: 3988.27-14149.0). The GMT of serum-specific IgA at 28 days after full immunization in the low-dose group was 2332.14 (95 % CI: 1538.82-3534.45), that in the medium-dose group was 4800.98 (95 % CI: 2986.64-7717.50), and that in the high-dose group was 3204.30 (95 % CI: 2175.66-4719.27). In terms of safety, adverse events were mainly Grades 1 and 2, indicating that the safety of the vaccine is within the acceptable range in the healthy adult population. Considering the GMT and positive transfer rate of neutralizing antibodies for the main immunogenicity endpoints in the experimental groups, it was initially observed that the high-dose group had higher levels of neutralizing antibodies than the medium- and low-dose groups in adults aged 18-49 years. This novel inactivated rotavirus vaccine was generally well-tolerated in adults, and the vaccine was immunogenic in adults (ClinicalTrials.gov number, NCT04626856).

Temperature-Driven Rotation Symmetry-Breaking States in an Atomic Kagome Metal KV3Sb5.

Kagome lattice AV3Sb5 has attracted tremendous interest because it hosts correlated and topological physics. However, an in-depth understanding of the temperature-driven electronic states in AV3Sb5 is elusive. Here we use scanning tunneling microscopy to directly capture the rotational symmetry-breaking effect in KV3Sb5. Through both topography and spectroscopic imaging of defect-free KV3Sb5, we observe a charge density wave (CDW) phase transition from an a0 × a0 atomic lattice to a robust 2a0 × 2a0 superlattice upon cooling the sample to 60 K. An individual Sb-atom vacancy in KV3Sb5 further gives rise to the local Friedel oscillation (FO), visible as periodic charge modulations in spectroscopic maps. The rotational symmetry of the FO tends to break at the temperature lower than 40 K. Moreover, the FO intensity shows an obvious competition against the intensity of the CDW. Our results reveal a tantalizing electronic nematicity in KV3Sb5, highlighting the multiorbital correlation in the kagome lattice framework.

Endosymbionts of citrus leafminer Phyllocnistis citrella Stainton among different citrus orchards in China.

Endosymbionts regulate the behavior of pest species, which could provide insights into their control. The citrus leafminer (Phyllocnistis citrella Stainton) is a widely distributed pest associated with diseases of citrus, especially of young trees. Here, we determined the endosymbiont composition of P. citrella in citrus orchards across China. The resulting dataset comprised average 50,430 high-quality reads for bacterial 16S rRNA V3-V4 regions of endosymbionts from 36 P. citrella larvae sampled from 12 citrus orchards across China. The sequencing depth and sampling size of this dataset were sufficient to reveal most of the endosymbionts of P. citrella. In total, 2,875 bacterial amplicon sequence variants were obtained; taxonomic analysis revealed a total of 372 bacterial genera, most of which were Proteobacteria phylum with Undibacterium being the most abundant genus. This dataset provides the first evidence of P. citrella endosymbionts that could support the development of pest management approaches in citrus orchards.

How receiving welfare assistance could be linked to children's bullying victimization: Exploring the potential pathways.

The study proposes and tests the pathways from receiving welfare assistance to children's bullying victimization. Specifically, the study examines whether children's difficulty making friends and school disconnection mediate the association between welfare assistance receipt to children's bullying victimization. The 2019 National Survey of Children's Health dataset was used, and the sample consisted of 12,230 caregivers of adolescents, aged 12-17 years. A path model was utilized to explore the proposed pathways. Findings suggest that welfare assistance receipt was not significantly associated with children's bullying victimization. It was positively related to children's bullying victimization through the mediating roles of having difficulty making friends and school disconnection. Schools and communities need to create spaces where youth can connect with peers, which is an important part of their development.

Formation and Manipulation of Diatomic Rotors at the Symmetry-Breaking Surfaces of a Kagome Superconductor.

Construction of diatomic rotors, which is crucial for artificial nanomachines, remains challenging due to surface constraints and limited chemical design. Here we report the construction of diatomic Cr-Cs and Fe-Cs rotors where a Cr or Fe atom switches around a Cs atom at the Sb surface of the newly discovered kagome superconductor CsV3Sb5. The switching rate is controlled by the bias voltage between the rotor and scanning tunneling microscope (STM) tip. The spatial distribution of rates exhibits C2 symmetry, possibly linked to the symmetry-breaking charge orders of CsV3Sb5. We have expanded the rotor construction to include different transition metals (Cr, Fe, V) and alkali metals (Cs, K). Remarkably, designed configurations of rotors are achieved through STM manipulation. Rotor orbits and quantum states are precisely controlled by tuning the inter-rotor distance. Our findings establish a novel platform for the controlled fabrication of atomic motors on symmetry-breaking quantum materials, paving the way for advanced nanoscale devices.

Network Analysis Revealed the Role of Helplessness as a Central Feature Among Late-Life Depressive Symptoms in Patients With Mild Cognitive Impairment and Early Stage Dementia.

OBJECTIVE: It has been reported that depressive symptoms in older adults are different from those in younger adults, especially when accompanied by cognitive decline. However, few studies have investigated the network structure of depressive symptoms in this population. METHODS: The participants consisted of 627 older adults (>60 yr) who were diagnosed with mild cognitive impairment (MCI) or early stage dementia. Among them, 36.7% were male and the mean age was 76.20±7.71 years. The Korean form of Geriatric Depression Scale (KGDS) was used to evaluate their depressive symptoms and network analyses were performed using bootnet R-package to identify the central features among depressive symptoms. RESULTS: Of all the KGDS items, we found that KGDS 2 (often feel helpless) had the highest node strength followed by KGDS 21 (in good spirits), KGDS 14 (not confident at all), and KGDS 15 (cheerful and happy). In terms of node betweenness, KGDS 2 also showed the highest value. The edge weights of edges connected to node KGDS 2 were strongest in KGDS 3 (restless and fidgety) and KGDS 28 (easily get tired). CONCLUSION: In this study, we presented which symptoms are central among the elderly with MCI and early stage dementia. This result not only increases the understanding of depressive symptoms in this group but would also help determine target symptoms in the treatment program.

The safety and feasibility Assessment of Overlap Esophagojejunostomy with Self-pulling and Latter Transection Technique in Totally Laparoscopic Total Gastrectomy.

BACKGROUND: This study presents an innovative technique in totally laparoscopic total gastrectomy (TLTG) for Overlap esophagojejunostomy, termed self-pulling and latter transection (Overlap SPLT). It evaluates the effectiveness and short-term outcomes of this novel method through a comparative analysis with the established functional end-to-end esophagojejunostomy incorporating self-pulling and latter transection (FETE SPLT). METHODS: From September 2018 to September 2023, this study enrolled 68 gastric cancer patients who underwent totally laparoscopic total gastrectomy (TLTG) with Overlap SPLT anastomosis and 120 patients who underwent TLTG with FETE SPLT anastomosis. Clinicopathological characteristics, surgical and postoperative outcomes data for Overlap SPLT cases were gathered and retrospectively compared with those from FETE SPLT TLTG to evaluate the effectiveness and clinical safety. RESULTS: The duration of anastomosis for Overlap SPLT was 25.3 ± 7.4minutes, significantly longer than that for the FETE SPLT (18.1 ± 4.0minutes, P = 0.031). Perioperatively, one anastomosis-related complication occurred in each group, but this did not constitute a statistically significant difference (P = 0.682). No statistically significant differences were found between the two groups in terms of operative time, postoperative hospital stay, operative cost, surgical margins, or number of lymph nodes removed. Postoperative morbidity rates were similar between the groups (4.4% vs. 5.8%, P = 0.676). CONCLUSION: The Overlap SPLT technique is regarded as a safe and feasible method for anastomosis. There were no apparent differences in complications between Overlap SPLT and FETE SPLT, but Overlap SPLT costed one additional stapler cartridge and required a longer duration.

A retrospective analysis of comorbidities in patients with psoriasis at a single centre.

Introduction: Psoriasis is a chronic inflammatory disease occurring worldwide. It is currently considered a multi-system disease, which is associated with several comorbidities. Aim: To deeply understand the clinical characteristics of psoriasis comorbidities and explore the relationship between psoriasis comorbidities, different subtypes and related influencing factors. Material and methods: This retrospective study analysed data from the electronic inpatient medical record system of dermatology and non-dermatology departments at a tertiary hospital in China. We collected relevant demographic data and clinical features of all patients diagnosed with psoriasis from January 2013 to September 2023. Results: This study ultimately included a total of 1097 patients with psoriasis. Psoriasis vulgaris was the most common among the subtypes of psoriasis, with 957 (87.2%) cases. The sample consisted of 65.6% of males and 34.4% of females, with an average age of 53.5 ±15.2 years. Common comorbidities of psoriasis included hypertension (38.2%), hyperlipidaemia (29.4%), type 2 diabetes mellitus (24.6%), fatty liver disease (21.4%), coronary heart disease (21.0%), tumours (15.5%), gastroduodenal disease (14.4%), osteoarthropathy (11.8%), and cerebrovascular disease (10.8%). The incidence of hypertension (p = 0.015), hyperuricemia (p < 0.001), osteoarthropathy (p < 0.001), and autoimmune disease (p = 0.003) among different subtypes of psoriasis showed statistically significant differences. In addition, gender, smoking and alcohol consumption all have significant impacts on the distribution of comorbidities. Conclusions: The distribution of psoriasis comorbidities and complications varies among different subtypes of psoriasis. Lifestyles such as smoking and alcohol abuse, as well as gender, are also associated with the occurrence of psoriasis comorbidities.

Comprehensive CT Imaging Analysis of Primary Colorectal Squamous Cell Carcinoma: A Retrospective Study.

The aim of this study was to evaluate the findings of CT scans in patients with pathologically confirmed primary colorectal squamous-cell carcinoma (SCC). The clinical presentation and CT findings in eight patients with pathologically confirmed primary colorectal squamous-cell carcinoma were retrospectively reviewed by two gastrointestinal radiologists. Hematochezia was the most common symptom (n = 5). The tumors were located in the rectum (n = 7) and sigmoid colon (n = 1). The tumors showed circumferential wall thickening (n = 4), bulky mass (n = 3), or eccentric wall thickening (n = 1). The mean maximal wall thickness of the involved segment was 29.1 mm ± 13.4 mm. The degree of tumoral enhancement observed via CT was well enhanced (n = 4) or moderately enhanced (n = 4). Necrosis within the tumor was found in five patients. The mean total number of metastatic lymph nodes was 3.1 ± 3.3, and the mean short diameter of the largest metastatic lymph node was 16.6 ± 5.7 mm. Necrosis within the metastatic node was observed in six patients. Invasions to adjacent organs were identified in five patients (62.5%). Distant metastasis was detected in only one patient. In summary, primary SCCs that arise from the colorectum commonly present as marked invasive wall thickening or a bulky mass with heterogeneous well-defined enhancement, internal necrosis, and large metastatic lymphadenopathies.

Nirmatrelvir-Ritonavir Reduced Mortality in Hospitalized Patients with COVID-19 During the Omicron Outbreak: Real-World Evidence from Beijing.

Objective: The efficacy of nirmatrelvir-ritonavir for hospitalized patients with COVID-19 has not been fully established. Methods: We conducted a retrospective analysis of hospitalized COVID-19 patients with high risk for disease progression at Beijing Chaoyang Hospital from October 15, 2022, to March 31, 2023. Patients ≥18 years old who were hospitalized with COVID-19 within 5 days of symptom onset were included. Baseline data were obtained from the routine electronic health record database of the hospital information system. Outcomes were monitored at 28 days via electronic medical record reviews or telephone interviews. Results: We identified 1120 patients hospitalized with COVID-19 during the study period. After exclusions, 167 nirmatrelvir-ritonavir users and 132 controls were included. 28-day all-cause mortality rate was 12.0% (20/167) in the nirmatrelvir-ritonavir group, versus 22.7% (30/132) in the control group (unadjusted log-rank p = 0.010; HR = 0.49, 95% confidence interval [CI] = 0.28-0.86, IPTW-adjusted HR = 0.58, 95% CI = 0.40-0.86). The 28-day disease progression rates did not differ between the two groups (unadjusted HR = 0.59, 95% CI = 0.34-1.02, IPTW-adjusted HR = 0.73, 95% CI = 0.50-1.06). Nirmatrelvir-ritonavir significantly reduced all-cause mortality and disease progression within 28 days among patients aged ≥65 years without ≥2 vaccine doses. Conclusion: We found significantly reduced all-cause mortality in the nirmatrelvir-ritonavir group, particularly in elderly patients who were incompletely vaccinated. Future randomized controlled studies are needed to validate our findings.

Analysis of the expression level and predictive value of CLEC16A|miR-654-5p|RARA regulatory axis in the peripheral blood of patients with ischemic stroke based on biosignature analysis.

Introduction: Ischemic stroke (IS) is a cerebrovascular disease that can be disabling and fatal, and there are limitations in the clinical treatment and prognosis of IS. It has been reported that changes in the expression profile of circRNAs have been found during injury in ischemic stroke, and circRNAs play an important role in the IS cascade response. However, the specific mechanisms involved in the pathogenesis of IS are not yet fully understood, and thus in-depth studies are needed. Methods: In this study, one circRNA dataset (GSE161913), one miRNA dataset (GSE60319) and one mRNA dataset (GSE180470) were retrieved from the Gene Expression Omnibus (GEO) database and included, and the datasets were differentially expressed analyzed by GEO2R and easyGEO to get the DEcircRNA, DEmiRNA and DEmRNA, and DEmRNA was enriched using ImageGP, binding sites were predicted in the ENCORI database, respectively, and the competitive endogenous RNA (ceRNA) regulatory network was visualized by the cytoscape software, and then selected by MCC scoring in the cytoHubba plugin Hub genes. In addition, this study conducted a case-control study in which blood samples were collected from stroke patients and healthy medical examiners to validate the core network of ceRNAs constructed by biosignature analysis by real-time fluorescence quantitative qRT-PCR experiments. Results: A total of 233 DEcircRNAs, 132 DEmiRNAs and 72 DEmRNAs were screened by bioinformatics analysis. circRNA-mediated ceRNA regulatory network was constructed, including 148 circRNAs, 43 miRNAs and 44 mRNAs. Finally, CLEC16A|miR-654-5p|RARA competitive endogenous regulatory axis was selected for validation by qRT-PCR, and the validation results were consistent with the bioinformatics analysis. Discussion: In conclusion, the present study establishes a new axis of regulation associated with IS, providing new insights into the pathogenesis of IS.

Data-driven shortened Insomnia Severity Index (ISI): a machine learning approach.

BACKGROUND: The Insomnia Severity Index (ISI) is a widely used questionnaire with seven items for identifying the risk of insomnia disorder. Although the ISI is still short, more shortened versions are emerging for repeated monitoring in routine clinical settings. In this study, we aimed to develop a data-driven shortened version of the ISI that accurately predicts the severity level of insomnia disorder. METHODS: We collected a sample of 800 responses from the EMBRAIN survey system. Based on the responses, seven items were grouped based on the similarity of their response using exploratory factor analysis (EFA). The most representative item within each group was selected by using eXtreme Gradient Boosting (XGBoost). RESULTS: Based on the selected three key items, maintenance of sleep, interference with daily function, and concerns about sleep problems, we developed a data-driven shortened questionnaire of ISI, ISI-3 m (machine learning). ISI-3 m achieved the highest coefficient of determination ( R 2 = 0.910 ) for the ISI score prediction task and the accuracy of 0.965, precision of 0.841, and recall of 0.838 for the multiclass-classification task, outperforming four previous versions of the shortened ISI. CONCLUSION: As ISI-3 m is a highly accurate shortened version of the ISI, it allows clinicians to efficiently screen for insomnia and observe variations in the condition throughout the treatment process. Furthermore, the framework based on the combination of EFA and XGBoost developed in this study can be utilized to develop data-driven shortened versions of the other questionnaires.

Erratum: [Corrigendum] Chloroquine potentiates the anticancer effect of sunitinib on renal cell carcinoma by inhibiting autophagy and inducing apoptosis.

[This corrects the article DOI: 10.3892/ol.2017.7635.].

Comparison of ICG-Guided Near-Infrared Fluorescence Imaging and Modified Inflation-Deflation Method in Identifying the Intersegmental Plane During Lung Segmentectomy of Infants.

BACKGROUND: The identification of the intersegmental plane (ISP) is a crucial step in segmentectomy for children with congenital pulmonary airway malformation (CPAM) due to complex anatomical variations. However, there is very limited literature available on this aspect specifically for infant. In this study, we compared the intravenous indocyanine green (ICG)-guided near-infrared fluorescence (NIRF) imaging method with the modified inflation-deflation method in terms of their perioperative characteristics and summarized our experience. METHODS: From June 2021 to November 2022, the data of 83 patients with CPAM who underwent segmentectomy by video-assisted thoracoscopic surgery were retrospectively reviewed. Twenty-eight patients underwent ICG-guided NIRF method, and 56 patients underwent the modified inflation-deflation method, characteristics and clinical outcomes were compared. RESULTS: The median age of the patients was 4.99 months (4.99 ± 1.51) with a mean body weight of 7.54 kg (7.54 ± 1.99). Both methods could accurately identify the ISP. The time taken to clearly display the ISP was shorter in ICG group than in the modified inflation-deflation group (0.18 ± 0.08 vs. 6.49 ± 1.67 min; P < 0.001), and the surgical duration (61.32 ± 14.28 vs. 88.18 ± 8.03 min; P < 0.001) were significantly shorter in the ICG group too. The two groups exhibited differences in the length of chest tube drainage (1.75 ± 1.24 vs. 2.36 ± 1.54 days; P = 0.072) and the length of hospital stay (4.61 ± 1.75 vs. 5.20 ± 3.07 days; P = 0.078), however, the differences were not statistically significant. There were no significant differences between the two groups in the blood lost and postoperative complications. At a follow-up of more than 1 year after operation, all patients had recovered well without recurrence. CONCLUSIONS: According to our experience, the ICG-guided NIRF method was safe and feasible for infants during thoracoscopic segmentectomy, it can quickly display the ISP and shorten the surgical duration compared with the modified inflation-deflation method.

Development and validation of a smartwatch algorithm for differentiating physical activity intensity in health monitoring.

To develop and validate a machine learning based algorithm to estimate physical activity (PA) intensity using the smartwatch with the capacity to record PA and determine outdoor state. Two groups of participants, including 24 adults (13 males) and 18 children (9 boys), completed a sequential activity trial. During each trial, participants wore a smartwatch, and energy expenditure was measured using indirect calorimetry as gold standard. The support vector machine algorithm and the least squares regression model were applied for the metabolic equivalent (MET) estimation using raw data derived from the smartwatch. Exercise intensity was categorized based on MET values into sedentary activity (SED), light activity (LPA), moderate activity (MPA), and vigorous activity (VPA). The classification accuracy was evaluated using area under the ROC curve (AUC). The METs estimation accuracy were assessed via the mean absolute error (MAE), the correlation coefficient, Bland-Altman plots, and intraclass correlation (ICC). A total of 24 adults aged 21-34 years and 18 children aged 9-13 years participated in the study, yielding 1790 and 1246 data points for adults and children respectively for model building and validation. For adults, the AUC for classifying SED, MVPA, and VPA were 0.96, 0.88, and 0.86, respectively. The MAE between true METs and estimated METs was 0.75 METs. The correlation coefficient and ICC were 0.87 (p < 0.001) and 0.89, respectively. For children, comparable levels of accuracy were demonstrated, with the AUC for SED, MVPA, and VPA being 0.98, 0.89, and 0.85, respectively. The MAE between true METs and estimated METs was 0.80 METs. The correlation coefficient and ICC were 0.79 (p < 0.001) and 0.84, respectively. The developed model successfully estimated PA intensity with high accuracy in both adults and children. The application of this model enables independent investigation of PA intensity, facilitating research in health monitoring and potentially in areas such as myopia prevention and control.

Quantitative analysis of apparent diffusion coefficients to predict neurological prognosis in cardiac arrest survivors: an observational derivation and internal-external validation study.

BACKGROUND: This study aimed to validate apparent diffusion coefficient (ADC) values and thresholds to predict poor neurological outcomes in out-of-hospital cardiac arrest (OHCA) survivors by quantitatively analysing the ADC values via brain magnetic resonance imaging (MRI). METHODS: This observational study used prospectively collected data from two tertiary academic hospitals. The derivation cohort comprised 70% of the patients randomly selected from one hospital, whereas the internal validation cohort comprised the remaining 30%. The external validation cohort used the data from another hospital, and the MRI data were restricted to scans conducted at 3 T within 72-96 h after an OHCA experience. We analysed the percentage of brain volume below a specific ADC value at 50-step intervals ranging from 200 to 1200 × 10-6 mm2/s, identifying thresholds that differentiate between good and poor outcomes. Poor neurological outcomes were defined as cerebral performance categories 3-5, 6 months after experiencing an OHCA. RESULTS: A total of 448 brain MRI scans were evaluated, including a derivation cohort (n = 224) and internal/external validation cohorts (n = 96/128, respectively). The proportion of brain volume with ADC values below 450, 500, 550, 600, and 650 × 10-6 mm2/s demonstrated good to excellent performance in predicting poor neurological outcomes in the derivation group (area under the curve [AUC] 0.89-0.91), and there were no statistically significant differences in performances among the derivation, internal validation, and external validation groups (all P > 0.5). Among these, the proportion of brain volume with an ADC below 600 × 10-6 mm2/s predicted a poor outcome with a 0% false-positive rate (FPR) and 76% (95% confidence interval [CI] 68-83) sensitivity at a threshold of > 13.2% in the derivation cohort. In both the internal and external validation cohorts, when using the same threshold, a specificity of 100% corresponded to sensitivities of 71% (95% CI 58-81) and 78% (95% CI 66-87), respectively. CONCLUSIONS: In this validation study, by consistently restricting the MRI types and timing during quantitative analysis of ADC values in brain MRI, we observed high reproducibility and sensitivity at a 0% FPR. Prospective multicentre studies are necessary to validate these findings.