bluuebunny/crossref_metadata_2025_split huggingface dataset:
Risk Factors of Postoperative Septic Cardiomyopathy in Perioperative Sepsis Patients
Authors: Xin Yuchang , Ge Ying , Chang Liuhui , Ni Yong , Liu Hairui , Zhu Jiang 
Published: February 2022

Abstract
Objective: This study aimed to clarify the relevant risk factors of septic cardiomyopathy (SCM) in perioperative sepsis patients. Methods: This retrospective study evaluated patients who were diagnosed with sepsis during the perioperative period and postoperatively admitted to the ICU in the Second Affiliated Hospital of Soochow University, the First Affiliated Hospital of Soochow University, and the Suzhou Municipal Hospital between January 2017 and November 2020. They were divided into 2 groups as the septic cardiomyopathy group (SCM group) and non-septic cardiomyopathy group (NSCM group). Significant factors in the multivariate logistic regression analysis (i.e., P<0.1) were used to establish a model and screen risk factors for SCM. The area under the receiver operating characteristic curve was used to reflect the discriminative capability of the model. The Hosmer-Lemeshow goodness of fit test was used to evaluate the calibration capability of the model.Result: Among the 269 patients, 49 patients had SCM. Sequential Organ Failure Assessment (SOFA) score (adjusted odds ratio [AOR]=2.535, 95% confidence interval (CI): 1.186-1.821, P=0.000]) and endoscopic surgery (AOR=3.154, 95% CI: 1.173-8.477, P=0.023]) were identified to be independent risk factors for SCM. Patients with a SOFA score ≥7 had a 46.831-fold higher risk of SCM (AOR =46.831, 95% CI: 10.511-208.662, P<0.05). The model had good discriminative capability (area under the curve: 0.902 [95% CI: 0.852-0.953]) and calibration capability (c²=4.401, P=0.819). The predictive accuracy was 86.2%. The rates of mechanical ventilation and tracheotomy were significantly higher in the SCM group than in the NSCM group (all P<0.05). The SCM group also had significantly longer duration of mechanical ventilation (P<0.05) and significantly higher rates of continuous renal replacement therapy (CRRT) and CRRT-related mortality (P<0.05). Further, the total length of stay and hospitalization cost were significantly higher in the SCM group than in the NSCM group (P<0.05).Conclusion: Endoscopic surgery and SOFA score ≥7 during postoperative ICU admission are independent risk factors for SCM within 48 hours postoperatively in patients with perioperative sepsis.
Secondary Stabbing Headache Associated with COVID-19: A case report
Authors: Akhlaq Hira , Li Mian , Nava Victor E 
Published: February 2022

Abstract
Although COVID-19 is mainly an acute viral illness, persistent symptoms are common. However, headache is not a frequent sequela of this disease. Furthermore, stabbing/ice-pick cephalalgia has been reported in <10% of cases of COVID-19, and recurrent forms occurring after vaccination against the disease have not been published yet. We present here an unusual short-lasting unilateral stabbing/ice-pick headache with recurrent periodicity over 10 months, which may represent a sequela of COVID-19. The cephalalgia presented in a 55-year-old male with no significant medical problems approximately four months after the acute onset of COVID-19, and recurred twice twelve days after the second dose of Covid-19 vaccination with BNT162b2 (Pfizer). This report represents a contribution to the semiological pattern of COVID-19-related cephalea.
Multitemporal Landslide Exposure And Vulnerability Assessment In Medellín, Colombia
Authors: Kühnl Marlene , Sapena Marta , Wurm Michael , Geiß Christian , Taubenböck Hannes 
Published: February 2022

Abstract
Landslides are often deadly natural events. Steep slopes and certain loose soil types are predestined areas for them. Moreover, in the context of climate change, extreme weather events such as heavy rainfall, which often trigger landslides, are becoming even more likely. All this is well known. It therefore stands to reason that this knowledge will lead to the avoidance of these risks. On the other hand, however, there are highly dynamic urbanization processes which often overtake formal urban planning processes by rising population figures and areal expansion. In the course of these processes, economically-deprived population groups often have no other option than to informally build on high-risk areas. Against these backgrounds, we systematically examine in this study how these risks develop over a 24 years’ time period with respect to the city-wide exposure and in particular with respect to different social groups. For this purpose, we use heterogeneous input data from remote sensing, hazard maps and census data. Our case study is the city of Medellín in Colombia. We develop and apply a set of methods integrating the heterogenous data sets to map, quantify and monitor exposure and social vulnerability at a finer spatial resolution than administrative units. Our results document first of all the highly dynamic growth in total population and urban areas. However, our results reveal that the city's expansion is socially unevenly distributed. People of higher vulnerability proxied by informal settlements are found to settle in significantly more areas exposed to landslides. This study proposes a methodological set-up that allows to monitor exposure and social vulnerability over long time spans, allows to bring inequality into the spotlight and provide decision makers with better information to develop socially responsible policies.
Perceptions of Climate Change and Determinants of Adaptation Decisions of Smallholder Maize (Zea mays L.) Farmers in Tigray, Northern Ethiopia.
Authors: Redda Alem , Tana Tamado , Alemayehu Yibekal , Hadgu Gebre , Elias Bisrat , Girma Atkilt 
Published: February 2022

Abstract
Climatic calamities are posing serious challenges to smallholder maize (Zea mays L.) farmers in Ethiopia. Adapting to climate change is mostly location-specific, and its effectiveness depends on local institutions and socioeconomic settings. This study was conducted to elucidate maize farmers’ perceptions of climate change; to investigate its impacts; to identify local adaptation strategies practiced by maize farmers and the factors that determine farmers’ choice of adaptation decisions in Tigray, northern Ethiopia. Primary data were collected from samples of 250 maize farmers using household questionnaires. Descriptive statistics (to analyze the data on socio-economic characteristics and perceptions), and a multinomial logit model (to estimate the factors that influence farmers’ adaptation decisions) were utilized. Majority (91.2%) of the farmers have perceived climate change and the main indicators of climate change were erratic ( low) rainfall ( 88.4% ), rising temperatures ( 83.2% ), and increased frequency of drought (79.2%). Decreasing soil fertility (83%) and decreasing crop yields (78%) are the major impacts due to climate change. Hence , 92.8% of the farmers have made adaptation attempts mainly by using crop-livestock integration (24%) and use of improved maize varieties (20.8%). The econometric analysis indicated that age, gender, education , farm size, livestock ownership, lack of access to credit services and poor economic status were the key determinants that influenced the farmers’ choice of adaptation decisions. Supporting the maize farmers’ indigenous adaptation strategies with a wide range of institutional, policy, and technology at both the farmer and the farm level is crucial.
Chemical Treatment of Banana Blossom Peels Adsorbent as New Approach for Manganese Removal: Isotherm and Kinetic Studies
Authors: Rudi Nurul Nadia , Apandi Najeeha Mohd , Suliza Mimi , Omar Suhair , Sunar Norshuhaila Mohamed , Chuan Lee Te , Nagarajah Ramathasan 
Published: February 2022

Abstract
The current study determined the potential of chemical modified banana blossom peels (BBP) as an adsorbent for the removal of manganese (Mn) from water. The BBP adsorbent was characterized using Field Emission Scanning Electron Microscopy (FESEM), Fourier Transform Infrared Spectroscopy (FTIR), X-Ray Diffraction (XRD) and Brunauer-Emmet Teller (BET). The effects of the solution pH, adsorbent dosage, initial manganese concentration and contact time towards the adsorption process were evaluated in batch adsorption studies. FESEM analysis displayed a deeper dents and rough internal surface that cater for deposition of Mn, while EDX analysis detected the presence of C, O, and Na elements (before adsorption); C, O and Mn (after adsorption). FTIR analysis revealed presence hydroxyl, carboxylic and amino groups which are responsible for the adsorption process. Moreover, XRD analysis showed that the structure of the BBP adsorbent is amorphous. The BET surface area of BBP adsorbent was 2.12 m2/g with the total pore volume of 0.0139 cm3/g and average pore diameter of 64.35 nm. The BBP adsorbent showed promising results of 98% Mn removal at optimum condition of pH 7, 0.5 g (adsorbent dosage), 10 mg/L of Mn initial concentration in 150 min contact time. Adsorption isotherm data were fitted with linear Langmuir and linear Freundlich model best fit with R2 > 0.98, while the adsorption process take place as a function of chemisorption process as determined using linear pseudo-second order kinetics. The maximum desorption rate of Mn was achieved at 92% in the first cycle with recovery rate of 94.18% Mn removal within 30 min using 0.1 M HCl. These findings confirmed the potential BBP as a natural adsorbent for Mn removal as an effective treatment option for enhancing wastewater quality.
A novel prognostic signature for colorectal cancer based on seven-metabolic-related genes
Authors: Zhang Wenjing , Li Dongmei , Chen Mei , Chen Xiaoli , Zhang Yu 
Published: February 2022

Abstract
Emerging studies have suggested that metabolic enzymes and transporters (METs) have a close relationship with cancer development. However, the prognostic value and the associated mechanisms of METs in colorectal cancer (CRC) remain unclear. In this study, our aim was to identify prognostic MET signature and elucidate the potential underlying mechanism of MET in regulating CRC process. A total of 326 differential expression of MET genes (DEMETs) were identified by Limma R package with data downloaded from TCGA and GEO databases. Univariate and multivariate Cox regressions identified GDPD3, AQP8, GPX3, HPGD, CKMT2, CPT2 and CLCA1 as a robust prognostic METs signature, followed by the construction of the risk score model and nomogram in predicting the prognosis of CRC patient. TIDE algorithm showed that CRC patients in low- and high-risk groups had different response to immunotherapy. Somatic processes were downloaded from the GDC database and found that MUC16, FAT4, BDP1, CMYA5, ZNF735, CENPE, SLITRK2, ZNF208, CFAP46 and ALDH1A2 were the top 10 mutated genes in both the high- and low-risk groups. Moreover, a pharmacological network including HPGD, 38 active compounds and 115 herbs was constructed. These findings enrich our understanding of the relationships among METs, immune, and CRC, and may provide novel ideas in the treatment of CRC patients.
Experiences and Perceptions of Nurses Participating in an Interprofessional, Videoconference-Based Educational Programme on Concurrent Mental Health and Substance Use Disorders: A Qualitative Study
Authors: Chicoine Gabrielle , Côté José , Pepin Jacinthe , Boyer Louise , Rouleau Geneviève , Jutras-Aswad Didier 
Published: February 2022

Abstract
Background
Individuals with co-occurring mental health and substance use disorders (i.e., concurrent disorders) remain a challenge for the nurses attempting to care for them. They require nurses to constantly adapt themselves and develop high-level competencies despite the limited resources they have and the isolated settings in which many of them work. The Extension for Healthcare Community Outcomes (ECHO®) is a promising collaborative learning and capacity building model that uses videoconference technology to support and train healthcare professionals in the management of complex and chronic health conditions. The aim of this study was to explore the experiences and perceptions of nurses participating in a Canadian ECHO programme on concurrent disorders about the competencies they developed and mobilized in their clinical practice, and which factors have influenced this process.
Methods
The study was qualitative, guided by an interpretive descriptive approach. Individual semi-structured interviews were held with ten nurses who had participated in the programme for the 2018–2019 and 2019–2020 curricula. A thematic analysis was conducted iteratively using an inductive approach to progressive data coding and organization.
Results
Four themes and eighteen sub-themes emerged. During their participation in ECHO, the nurses perceived as having further developed and mobilized eight clinical nursing competencies. Nurses viewed ECHO as a unique opportunity to open themselves to their peers’ experiences and reflect on their own knowledge. Learning from experts in the field of concurrent disorders helped them to build their confidence in managing complex clinical situations. The nurses’ sense of belonging to a community further enhanced their engagement in the programme, and learning was facilitated through the programme’s interprofessional environment. Nevertheless, the lack of contextualized educative content linked to local realities, the limited resources in concurrent disorders and time constraints were experienced as factors limiting competency development.
Conclusions
ECHO is a promising alternative to conventional, in-person continuing education programmes to improve the development of advanced competencies and clinical practice among nurses providing care to individuals with chronic and complex health conditions. These findings can inform clinicians, educators, researchers, and decision makers who are developing, implementing, evaluating and escalating future educational interventions in the field of CDs.
Spatial Turnover Overrides Temporal Turnover In Two Plant-Pollinator Communities
Authors: Magrach Ainhoa , Artamendi Maddi , Dominguez-Lapido Paula , Parejo Clara , Rubio Encarnacion 
Published: February 2022

Abstract
In recent years, an extended body of literature has focused on the importance of temporal dynamics in shaping the structure of plant and pollinator communities and their interactions. This improvement from a previously static perspective to community analysis has allowed us to understand many of the ecological processes that shape these communities. However, a focus on temporal dynamics has led to a decreased attention to the spatial dynamics. Here, we use a dataset collected across two contrasting habitat types in N and SW Spain, mountain grasslands and the understory of sparse pine forests. We collected data across five sites in each area, and weekly throughout the full flowering season at each area for two consecutive years. Our results show that spatial differences in species composition and species individual roles led to significant changes in interaction composition. We find that interaction turnover was much larger across space than time, demonstrating that the spatial context leads to a significant rewiring of interactions. Our study shows significant spatial and temporal dynamics that we are currently far from understanding and that explain why predicting interactions is still a failed subject in ecology.
COVID-19 Hospitalizations Forecasts Using Internet Search Data
Authors: Wang Tao , Ma Simin , Baek Soobin , Yang Shihao 
Published: February 2022

Abstract
As the COVID-19 spread over the globe and new variants of COVID-19 keep occurring, reliable real-time forecasts of COVID-19 hospitalizations are critical for public health decision on medical resources allocations such as ICU beds, ventilators, and personnel to prepare for the surge of COVID-19 pandemics. Inspired by the strong association between public search behavior and hospitalization admission, we extended previously-proposed influenza tracking model, ARGO (AutoRegression with GOogle search data), to predict future 2-week national and state-level COVID-19 new hospital admissions. Leveraging the COVID-19 related time series information and Google search data, our method is able to robustly capture new COVID-19 variants’ surges, and self-correct at both national and state level. Based on our retrospective out-of-sample evaluation over 12-month comparison period, our method achieves on average 15% error reduction over the best alternative models collected from COVID-19 forecast hub. Overall, we showed that our method is flexible, self-correcting, robust, accurate, and interpretable, making it a potentially powerful tool to assist health-care officials and decision making for the current and future infectious disease outbreak.
Discordant American Society of Anesthesiologists Physical Status Classification between Anesthesiologists and Surgeons and its correlation with Adverse Patient Outcomes
Authors: Kwa Charlene Xian Wen , Cui Jiaqian , Lim Daniel Yan Zheng , Sim Yilin Eileen , Ke Yuhe , Abdullah Hairil Rizal 
Published: February 2022

Abstract
The American Society of Anesthesiologists Physical Status Classification (ASA) is used for communication of patient health status, risk scoring, benchmarking and financial claims. Prior studies using hypothetical scenarios have shown poor concordance of ASA classification among healthcare providers. There is a paucity of studies using clinical data, and of clinical factors or patient outcomes associated with discordant classification. The study aims to assess ASA classification concordance between surgeons and anesthesiologists, factors surrounding discordance and its impact on patient outcomes. This retrospective cohort study was conducted in a tertiary medical center on 46284 consecutive patients undergoing elective surgery between January 2017 and December 2019. The ASA class showed moderate concordance (weighted Cohen’s 𝜅 0.53) between surgeons and anesthesiologists. We found significant associations between discordant classification and patient comorbidities, age and race. Patients with discordant classification had a higher risk of 30-day mortality (odds ratio (OR) 2.00, 95% confidence interval (CI) = 1.52-2.62, p<0.0001), 1-year mortality (OR 1.53, 95% CI = 1.38-1.69, p < 0.0001), and Intensive Care Unit admission >24 hours (OR 1.69, 95% CI = 1.47-1.94, p< 0.0001). Hence, there is a need for improved standardization of ASA scoring and cross-specialty review in ASA-discordant cases.
Role of unstimulated salivary flow rate, pH and buffer capacity on dental caries of children: Findings from community based cross-sectional study
Authors: Ansari Asma Saher , Ahmed Imtiaz , Qureshi Masood Anwar , Hussain Mehwish , Ansari Zairah Muqaddas 
Published: February 2022

Abstract
Background: Dental caries development is a complex and dynamic process which is influenced by wide array of factors, of which dietary habits and salivary physicochemical biomarkers are of most significance. Salivary markers such as flow rate, pH and buffering capacity play a major role in the development of caries. In this study the relationship between these salivary marker among caries free and caries active was measured.Methods: In this analytical cross sectional study, multistage stratified sampling technique was used, 700 private and public school children of different socioeconomic class, between six to sixteen years of age were selected. The status of dental caries was determined through dental examination using DMFT index. Unstimulated whole saliva was collected through Passive Drool Method and the selected physiochemical properties were assessed. The mean difference between caries free and caries active groups was noted and to identify significant risk factors for caries logistic regression analysis was performed.Results: Comparison of salivary parameters between the two groups (caries free, caries active) showed that, there is significant decrease in mean value for salivary flow rate and buffering capacity in caries active group i.e., p<0.001. Risk factors were found to be significantly high in caries active group with flow rate (OR=20.06; p< 0.001), pH (OR=1.82; p= 0.90) and buffer capacity (OR=8.76; p=0.79). Conclusion: Research showed that participants with active caries have lower resting salivary flow rates than caries free subjects. Caries free participants had a normal range of salivary pH and better buffering capacity than participants with active caries.
Advances in the Study of OSA and Diabetic Foot
Authors: Lin Jiayu , Song Hailing , Liang Meihong , Cai Zeqiang , Chen Tan , Lin Zhenyu 
Published: February 2022

Abstract
Diabetic foot is one of the most serious and painful chronic complications of diabetic patients, especially elderly diabetic patients. It has a high rate of death, disability and amputation. Obstructive sleep apnea (OSA) is a treatable chronic sleep disorder. Existing evidence suggests that OSA may promote the development and delay the healing of diabetic foot, and continuous positive airway pressure therapy may promote the healing of ulcers. Therefore, in the multidisciplinary diagnosis and treatment of diabetes, cooperation with sleep medicine should be strengthened, and the basic and clinical research on diabetic foot combined with OSA should be strengthened, so as to reduce the amputation rate, improve the cure rate and reduce the incidence of cardiovascular events.