bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relationship between preoperative blood pressure during anesthetic examinations and pre-intubation blood pressure
Authors: Koibuchi Ikuya , Kadoi Yuji , Asou Chizu , Saito Shigeru 
Published: March 2024

Abstract
Background
There have been few reports showing the relationship between blood pressure (BP) measured at clinics preoperatively and BP measured before anesthetic intubation/induction. The purpose of this study was to examine the relationship between BP measured at different times and settings preoperatively and BP measured before intubation/induction.

Methods
A total of 182 patients who underwent general anesthesia between March 2021 and April 2022 in a university hospital were examined. In addition to self-reported BP asked on an anesthetic examination sheet completed by each patient, BPs were measured three times, before, during, and after preoperative examination by the anesthesiologist. The derived parameter was compared with BP measured before intubation at the time of general anesthesia induction.

Results
The systolic BP in the intra-examination period had the most significant correlation with pre-intubation systolic BP (r = 0.5230, p < 0.0001, 95% CI = 0.4050 to 0.6238). On Bland–Altman analysis, the intra-examination systolic BP seemed to be similar and showed better agreement with pre-intubation systolic BP than other measured BPs, with a mean bias of 2.2 mmHg and the narrowest 95% limits of agreement (-33.7 to + 38.1 mmHg).

Conclusions
The preoperative systolic BP value measured during the examination by the anesthesiologist was found to be closely related to pre-intubation systolic BP measured in the operating room. Higher BP during the preoperative examination may be a result of anxiety-induced stress or white-coat hypertension. Measuring BP during the anesthesiologist’s examination may be useful for predicting hypertension in the pre-intubation period.
Prognostic value of metabolic syndrome in patients with heart failure and malnutrition
Authors: Zhang Xuehe , Shan Chunfang , Hu Kaixuan , Fang Binbin , Zhang Zhiyang , Xie Qian , Liu Chang , An Xin , Yang Yining , Li Xiaomei 
Published: March 2024

Abstract
Background
Malnutrition is severely associated with worst prognosis of patients with heart failure (HF). Malnourished patients with the metabolic syndrome (MS) can result in a double burden of malnutrition. We aimed to investigate the impact of the MS on clinical outcomes in malnourished HF patients.

Methods
We examined 529 HF patients at risk of malnutrition with a mean age of (66 ± 10) years and 78% (415) were male. Nutritional status defined primarily by the prognostic nutritional index (PNI), with PNI < 40 being defined as malnutrition. The follow-up endpoint was cardiovascular death or all-cause death.

Results
During the 36-month follow-up, survival rates for cardiovascular and all-cause death were significantly lower in the MS group than in the non-MS group (log-rank P < 0.01). Multivariate Cox proportional hazards regression models showed that MS was independently associated with cardiovascular death (HR:1.759, 95%CI:1.351–2.291, p < 0.001) and all-cause death (HR:1.326, 95%CI:1.041–1.689, p = 0.022) in malnourished patients with HF. MS significantly increased the predictive value of cardiovascular death (AUC:0.669, 95%CI:0.623–0.715, p < 0.001) and all-cause death (AUC:0.636, 95%CI:0.585–0.687, p < 0.001) on the basis of established risk factors. The predictive effect of MS on cardiovascular death was independent of sex, age, functional class and left ventricular ejection fraction.

Conclusions
In malnourished patients with HF, MS is an independent risk factor for cardiovascular and all-cause mortality. MS significantly enhance the predictive value for clinical events in patients.
Causality of the gut microbiome and atherosclerosis-related lipids: a bidirectional Mendelian Randomization study
Authors: Teng Da , Jia Wenjuan , Wang Wenlong , Liao Lanlan , Xu Bowen , Gong Lei , Dong Haibin , Zhong Lin , Yang Jun 
Published: March 2024

AbstractAimsRecent studies have indicated an association between intestinal flora and lipids. However, observational studies cannot indicate causality. In this study, we aimed to investigate the potentially causal relationships between the intestinal flora and blood lipids.MethodsWe performed a bidirectional two-sample Mendelian Randomization (MR) analysis to investigate the causal relationship between intestinal flora and blood lipids. Summary statistics of genome-wide association studies (GWASs) for the 211 intestinal flora and blood lipid traits (n = 5) were obtained from public datasets. Five recognized MR methods were applied to assess the causal relationship with lipids, among which, the inverse-variance weighted (IVW) regression was used as the primary MR method. A series of sensitivity analyses were performed to test the robustness of the causal estimates.ResultsThe results indicated a potential causal association between 19 intestinal flora and dyslipidemia in humans. GenusRuminococcaceae,Christensenellaceae, Parasutterella, Terrisporobacter, Parabacteroides,Class Erysipelotrichia, Family Erysipelotrichaceae, and order Erysipelotrichales were associated with higher dyslipidemia, whereas genusOscillospira, Peptococcus, Ruminococcaceae UCG010, Ruminococcaceae UCG011, Dorea,and Family Desulfovibrionaceae were associated with lower dyslipidemia. After using the Bonferroni method for multiple testing correction, Only Desulfovibrionaceae [Estimate = -0.0418, 95% confidence interval [CI]: 0.9362–0.9826,P = 0.0007] exhibited stable and significant negative associations with ApoB levels. The inverse MR analysis did not find a significant causal effect of lipids on the intestinal flora. Additionally, no significant heterogeneity or horizontal pleiotropy for IVs was observed in the analysis.ConclusionThe study suggested a causal relationship between intestinal flora and dyslipidemia. These findings will provide a meaningful reference to discover dyslipidemia for intervention to address the problems in the clinic.
Characteristics of the most severely ill and injured patients in a Norwegian helicopter emergency medical service: a retrospective cohort study
Authors: Ringen Eirik , Haugland Helge , Brede Jostein Rødseth 
Published: March 2024

Abstract
Background
Physician-staffed helicopter emergency medical services (HEMS) are dispatched to a variety of incidents, ranging from less serious to life-threatening. The skillset of a physician may be important to provide appropriate care for the most critically ill and severely injured patients. A better understanding of these patients may therefore be important to optimize dispatch criteria, training, and equipment setups for HEMS units.
The aim of this study was to describe the characteristics of patients with the national advisory committee on aeronautics (NACA) score 5 and 6, primarily by diagnostic group and interventions performed.

Methods
Retrospective cohort study on aggregated data from the HEMS-base in Trondheim, Norway. All patients with NACA score 5 and 6 in the 10-year period from 2013 to 2022 were included. Patients with return of spontaneous circulation (ROSC) after successful cardiopulmonary resuscitation were described separately from non-cardiac arrest patients.

Results
Out of 9546 patient encounters, 2598 patients were included, with 1640 in the NACA 5 and 958 in NACA 6 group. Patient age was median 63 (interquartile range 45–74) and 64% of the patients were male. Post-ROSC patients accounted for 24% of patients. Of the non-cardiac arrest patients, the most frequent aetiology was trauma (16%), cardiac (15%), neurologic (14%) and respiratory (11%). The most common physician-requiring advanced interventions were general anaesthesia (22%), intubation (21%), invasive blood pressure monitoring (21%) and ventilator treatment (18%). The mean number of advanced interventions per mission were consistent during the study period (1,78, SD 0,25).

Conclusion
Twenty-seven percent of all HEMS dispatches were to NACA 5 and 6 patients. Twenty-four percent of these were post-ROSC patients. Sixty-three percent of all patients received at least one advanced physician-requiring intervention and the average number of interventions were consistent during the last 10 years. Hence, the competence a physician-staffed HEMS resource provide is utilized in a high number of critically ill and injured patients.
Power calculation for detecting interaction effect in cross-sectional stepped-wedge cluster randomized trials: an important tool for disparity research
Authors: Yang Chen , Berkalieva Asem , Mazumdar Madhu , Kwon Deukwoo 
Published: March 2024

Abstract
Background
The stepped-wedge cluster randomized trial (SW-CRT) design has become popular in healthcare research. It is an appealing alternative to traditional cluster randomized trials (CRTs) since the burden of logistical issues and ethical problems can be reduced. Several approaches for sample size determination for the overall treatment effect in the SW-CRT have been proposed. However, in certain situations we are interested in examining the heterogeneity in treatment effect (HTE) between groups instead. This is equivalent to testing the interaction effect. An important example includes the aim to reduce racial disparities through healthcare delivery interventions, where the focus is the interaction between the intervention and race. Sample size determination and power calculation for detecting an interaction effect between the intervention status variable and a key covariate in the SW-CRT study has not been proposed yet for binary outcomes.

Methods
We utilize the generalized estimating equation (GEE) method for detecting the heterogeneity in treatment effect (HTE). The variance of the estimated interaction effect is approximated based on the GEE method for the marginal models. The power is calculated based on the two-sided Wald test. The Kauermann and Carroll (KC) and the Mancl and DeRouen (MD) methods along with GEE (GEE-KC and GEE-MD) are considered as bias-correction methods.

Results
Among three approaches, GEE has the largest simulated power and GEE-MD has the smallest simulated power. Given cluster size of 120, GEE has over 80% statistical power. When we have a balanced binary covariate (50%), simulated power increases compared to an unbalanced binary covariate (30%). With intermediate effect size of HTE, only cluster sizes of 100 and 120 have more than 80% power using GEE for both correlation structures. With large effect size of HTE, when cluster size is at least 60, all three approaches have more than 80% power. When we compare an increase in cluster size and increase in the number of clusters based on simulated power, the latter has a slight gain in power. When the cluster size changes from 20 to 40 with 20 clusters, power increases from 53.1% to 82.1% for GEE; 50.6% to 79.7% for GEE-KC; and 48.1% to 77.1% for GEE-MD. When the number of clusters changes from 20 to 40 with cluster size of 20, power increases from 53.1% to 82.1% for GEE; 50.6% to 81% for GEE-KC; and 48.1% to 79.8% for GEE-MD.

Conclusions
We propose three approaches for cluster size determination given the number of clusters for detecting the interaction effect in SW-CRT. GEE and GEE-KC have reasonable operating characteristics for both intermediate and large effect size of HTE.
Evaluation of deprescription by general practitioners in elderly people with different levels of dependence: cross-sectional study
Authors: Coelho Tânia , Rosendo Inês , Seiça Cardoso Carlos 
Published: March 2024

Abstract
Background
Polypharmacy is easily achieved in elderly patients with multimorbidity and it is associated with a higher risk of potentially inappropriate medication use and worse health outcomes. Studies have shown that deprescription is safe, however, some barriers have been identified. The aim of this study was to analyse Portuguese General Practitioners (GP) deprescription’s attitudes using clinical vignettes.

Methods
Cross-sectional study using an online survey with 3 sections: demographic and professional characterization; two clinical vignettes with an elderly patient with multimorbidity and polypharmacy in which the dependency level varies; barriers and factors influencing deprescription. Frequencies, means, and standard deviations were calculated to describe the GPs. Analysis of the deprescription attitude, globally and for each drug, for each clinical vignette applying the McNeemar’s test.

Results
A sample of 396 GP was obtained with a mean age of 38 years, most of them female. A statistically significant difference (p < 0.01) was observed in deprescribing according to the patient dependency level, with more GPs (80.4% versus 75.3%) deprescribing in the most dependent patient. A statistically significant difference was found for all drugs except for antihypertensive drugs. All medications were deprescribed more often in dependent patients except for anti-dementia drugs. More than 70% of the participants considered life expectancy and quality of life as “very important” factors for deprescription and more than 90% classified the existence of guidelines and the risks and benefits of medication as “very important” or “important”. In the open question, the factors most reported by the GP were those related to the patient (52,9%).

Conclusions
This is the largest study on this topic carried out in Portugal using clinical vignettes, with a representative sample of Portuguese GP. The level of dependence significatively influenced the deprescription attitude of Portuguese GPs. The majority of the GPs classified the quality of life, life expectancies, potential negative effects and the existence of guidelines as “very important” or “important” while deprescribing. It is important to develop and test deprescribing in real life studies to analyze if these attitudes are the same in daily practice.
Exploring the impact of information and communication technologies on loneliness and social isolation in community-dwelling older adults: a scoping review of reviews
Authors: Gunnes Mari , Løe Ida-Camilla , Kalseth Jorid 
Published: March 2024

Abstract
Background
Recognizing the escalating public health concerns of loneliness and social isolation in aging populations, this study seeks to comprehensively explore the potential of information and communication technology (ICT)-based interventions to address these issues among older adults. This scoping review of reviews aims to map and synthesize existing evidence on the effectiveness and scope of ICT interventions targeting loneliness and social isolation in community-dwelling older adults, elucidating types of technology, impacts, facilitators, barriers, and research gaps.

Methods
Following the Joanna Briggs Institute framework, we systematically searched eight diverse databases identifying relevant published reviews. We included English-written, peer-reviewed reviews of all types, with no limits regarding time of publication about ICTs targeting loneliness and/or social isolation for community-dwelling older adults. Eligible reviews were analysed and summarized, offering a holistic narrative of the reported types of ICTs and their impact, the identified facilitators and barriers influencing the implementation and adoption of ICT interventions, and the research gaps identified in the literature.

Results
The review included 39 publications published between 2012 and 2024, spanning systematic, scoping, and reviews of reviews. Various ICTs were reported, primarily social media virtual communities, followed by video-mediated friendly visits, conversational agents, social robots, exergames and online gameplay. Predominantly positive impacts on mitigating social isolation and loneliness were evident for these ICTs, although methodological diversity and contradictory findings complicated definite conclusions. Facilitators and barriers encompassed individual competencies, access and usage, and intervention design and implementation. Research gaps involved targeting specific subgroups, exploring innovative technologies, incorporating diverse study designs, improving research methodologies, and addressing usability and accessibility. Future research should focus on identifying elderly individuals who can benefit the most from ICT use, exploring novel technologies, using a wider range of study designs, and enhancing usability and accessibility considerations.

Conclusions
This review sheds light on the diverse range of ICTs, their impact, and the facilitators and barriers associated with their use. Future investigations should prioritize refining outcome measures, addressing gender differences, and enhancing the usability and accessibility of interventions. The involvement of older adults in the design process and the exploration of technological training interventions hold promise in overcoming barriers.
Evaluating the comprehensive diagnosis efficiency of lung cancer, including measurement of SHOX2 and RASSF1A gene methylation
Authors: Liu Jian , Bian Tingting , She Bin , Liu Lei , Sun Hui , Zhang Qing , Zhu Jun , Zhang Jianguo , Liu Yifei 
Published: March 2024

AbstractMethylation of the promoters of SHOX2 and RASSF1A (LungMe®) exhibits promise as a potential molecular biomarker for diagnosing lung cancer. This study sought to assess the aberrant methylation of SHOX2 and RASSF1A in broncho-exfoliated cells (BEC) and compare it with conventional cytology, histology examination, immunohistochemistry, and serum tumor markers to evaluate the overall diagnostic efficiency for lung cancer. This study recruited 240 patients, including 185 malignant cases and 55 benign cases. In our observation, we noted a slight reduction in the detection sensitivity, however, the ΔCt method exhibited a significant enhancement in specificity when compared to Ct judgment. Consequently, the ΔCt method proves to be a more appropriate approach for interpreting methylation results. The diagnostic sensitivity of cytology and histology was in ranged from 20.0%-35.1% and 42.9%-80%, respectively, while the positive detection rate of LungMe® methylation ranged from 70.0% to 100%. Additionally, our findings indicate a higher prevalence of SHOX2( +) among patients exhibiting medium and high expression of Ki67 (P < 0.01), as opposed to those with low expression of Ki67, but RASSF1A methylation did not show this phenomenon (P = 0.35). Furthermore, CEA, SCCA, and CYFRA21-1 showed positive detection rates of 48.8%, 26.2%, and 55.8%, respectively. Finally, we present a comprehensive lung cancer diagnostic work-up, including LumgMe® methylation. The combined analysis of SHOX2 and RASSF1A methylation serves as a powerful complement and extension to conventional methods, enhancing the accuracy of a lung cancer diagnosis with satisfactory sensitivity and specificity.
Social capital for carers of patients with advanced organ failure: a qualitative exploration of stakeholders’ perspectives
Authors: Ng Marques Shek Nam , So Winnie Kwok Wei , Choi Kai Chow , Akingbade Oluwadamilare , Chan Wallace Chi Ho , Chan Helen Yue Lai , Chan Carmen Wing Han 
Published: March 2024

Abstract
Background
Carers of patients with advanced organ failure (AOF) experience a tremendous caregiving burden. Social capital utilizes the internal strength of a community to support its members and may provide carers with comprehensive support. This study aimed to identify the different sources of social capital that can support carers of patients with AOF from the perspectives of stakeholders.

Method
A descriptive qualitative study was conducted in community settings from April 2021 to May 2022. Stakeholders from medical social work departments, self-help groups, and non-governmental organizations were recruited, while some community members were invited through online media platforms. Individual semi-structured interviews were conducted using an interview guide. Interview transcripts were analyzed using a qualitative description approach. In total, 98 stakeholders, including 25 carers, 25 patients, 24 professionals, and 24 community members, were recruited using purposive and snowball sampling.

Results
Six categories about social capital for carers emerged, namely, carer attributes, the community, social care services, healthcare services, information, and policies. While the attributes of carers and their relationships with care recipients had a significant influence on caregiving, support from different groups in the community, such as neighbors and employers, was valued. Good communication of information about caregiving and social services was emphasized as being helpful by carers and other stakeholders. While carers presented a need for various healthcare and social care services, several features of these services, including their person-centeredness and proactive reach, were deemed useful. At the societal level, policies and research on comprehensive supportive services are warranted. The different sources of social capital constitute a multi-layer support system in the community.

Conclusion
Carers can utilize personal attributes, interpersonal relationships, community resources, and societal contexts to enhance their caregiving. While this system can serve as a framework for building carer-friendly communities, interventions may be required to strengthen some aspects of social capital.
The impact of obesity on ventilator-associated pneumonia, a US nationwide study
Authors: El Labban Mohamad , Zeid Daou Michella Abi , Smaily Hiba , Hammoud Abbas , Hassan Ghandi , Khan Syed , Bou Akl Imad 
Published: March 2024

Abstract
Background
Ventilator-associated pneumonia (VAP) is one of the leading causes of mortality in patients with critical care illness. Since obesity is highly prevalent, we wanted to study its impact on the outcomes of patients who develop VAP.

Methods
Using the National Inpatient Sample (NIS) database from 2017 to 2020, we conducted a retrospective study of adult patients with a principal diagnosis of VAP with a secondary diagnosis with or without obesity according to 10th revision of the International Statistical Classification of Diseases (ICD-10) codes. Several demographics, including age, race, and gender, were analyzed. The primary endpoint was mortality, while the secondary endpoints included tracheostomy, length of stay in days, and patient charge in dollars. Multivariate logistic regression model analysis was used to adjust for confounders, with a p-value less than 0.05 considered statistically significant.

Results
The study included 3832 patients with VAP, 395 of whom had obesity. The mean age in both groups was around 58 years, and 68% of the group with obesity were females compared to 40% in females in the group without obesity. Statistically significant comorbidities in the obesity group included a Charlson Comorbidity Index score of three and above, diabetes mellitus, hypertension, chronic kidney disease, and sleep apnea. Rates and odds of mortality were not significantly higher in the collective obesity group 39 (10%) vs. 336 (8.5%), p-value 0.62, adjusted odds ratio 1.2, p-value 0.61). The rates and odds of tracheostomy were higher in the obesity group but not statistically significant. Obese patients were also found to have a longer hospitalization. Upon subanalysis of the data, no evidence of racial disparities was found in the care of VAP for both the obese and control groups.

Conclusions
Obesity was not found to be an independent risk factor for worse outcomes in patients who develop VAP in the intensive care unit.