Reduced radiation dose and volume of contrast medium in heart rate-based, one-stop computed tomography angiography of coronary, carotid and cerebrovascular arteries.

BACKGROUND: Computed tomography angiography (CTA) is a reliable, non-invasive screening method for diagnosing panvascular disease. By using low contrast agent volume, CTA imaging enables one-stop multi-organ scanning, thereby minimizing the potential risk of contrast-induced nephropathy in patients with impaired renal function. PURPOSE: To evaluate the feasibility of one-stop CTA following a heart rate (HR)-based protocol using a low volume of contrast medium (CM) for examination of the coronary, carotid and cerebrovascular arteries. MATERIAL AND METHODS: Sixty patients undergoing coronary carotid, and cerebrovascular CTA after a single injection of CM were recruited and randomly divided into two groups. Group A (n = 30) underwent CTA following a traditional protocol. The timing of the scans in Group B (n = 30) was determined according to the patient's HR. RESULTS: The CT values for the thoracic aorta (432.2 ± 104.28 HU), anterior cerebral artery (303.96 ± 99.29 HU), and right coronary artery (366.70 ± 85.10 HU) in Group A did not differ significantly from those in Group B (445.80 ± 106.13, 293.73 ± 75.25 and 344.13 ± 111.04 HU, respectively). The qualities of most of the scanned images for both groups were scored as 3 or 4 (on a five-point scale). The radiation dose and the volume of CM were significantly higher in Group A (303.05 ± 110.95 mGy) (100 mL) than in Group B (239.46 ± 101.12 mGy) (50 mL). CONCLUSION: The radiation dose and volume of CM were significantly reduced in CTA following the HR-based protocol. The personalized administration of CM also simplified the scanning process.

Evaluation of Clinical Efficacy of Contrast-Enhanced Ultrasound in the Diagnosis of Ectopic Tubal Pregnancy.

Objective: To explore whether contrast-enhanced ultrasound (CEUS) can improve tubal ectopic pregnancy detection rate, tubal dilation, tubal hematoma, and gestational sac. Methods: This retrospective study included 34 patients with suspected ectopic pregnancy who underwent contrast-enhanced ultrasound at Dongzhimen Hospital of Beijing University of Chinese Medicine between March 2021 and September 2016. Of these, 27 patients were confirmed to have tubal pregnancy by laparoscopic surgery and histopathology. Four ultrasound physicians (2 experts and 2 non-experts) conducted a retrospective analysis of conventional color Doppler ultrasound and the combination of conventional color Doppler ultrasound with contrast-enhanced ultrasound (color Doppler ultrasound + CEUS). They analyzed the differences in confidence levels and reproducibility in identifying tubal dilation, tubal hematoma, and gestational sac implantation sites. Additionally, the characteristic features of ectopic pregnancy on contrast-enhanced ultrasound were summarized, including gestational sac morphology, triple ring sign, enhancement patterns (branching or punctate), tubal dilation (with or without hematoma), contrast enhancement of tubal walls, and presence of free fluid. Results: In the expert group, the correct identification rate of the gestational sac implantation site on ultrasound images increased from 13/34 (38.2%) with conventional color Doppler ultrasound to 20/34 (58.8%) with color Doppler ultrasound + CEUS, the differences were statistically significant (38.2% vs. 58.8%, P = .039). The correct identification rate of tubal dilation increased from 6/34 (17.7%) to 25/34 (73.5%) (P = .001), and the correct identification rate of tubal hematoma increased from 3/34 (8.8%) to 17/34 (50.0%) with color Doppler ultrasound + CEUS (P < .001). In the non-expert group, the correct identification rate of the gestational sac implantation site increased from 8/24 (23.5%) with conventional ultrasound to 19/34 (55.9%) with ultrasound + CEUS (P = .003). The correct identification rate of tubal dilation increased from 6/34 (17.7%) to 23/34 (67.7%) (P < .001), and the correct identification rate of tubal hematoma increased from 3/34 (8.82%) to 12/34 (35.3%) with color Doppler ultrasound + CEUS (P = .012). Conclusion: The analysis of contrast-enhanced ultrasound images provides characteristic features and diagnostic points for tubal ectopic pregnancy, including gestational sac, thick ring sign, tubal dilation, and tubal dilation with hematoma. This approach improves the accuracy of partial pregnancy of unknown location (PUL) diagnosis and reduces the technical dependence on ultrasound personnel.

Body mass index and pressure injuries risk in hospitalized adult patients: A dose-response analysis.

BACKGROUND: The association between underweight and pressure injuries (PIs) has been established in several studies. However, there is a lack of well-designed research investigating the connection between overweight and obesity with these injuries. OBJECTIVE: This meta-analysis aims to investigate the dose-response relationship between body mass index (BMI) and the risk of PIs in adult hospitalized patients. METHODS: PubMed, Web of Science, and MEDLINE Databases were searched from inception to May 2024. Observational articles with at least three BMI categories were included in the study. BMI was defined as underweight, normal weight, overweight, and morbid obesity for the meta-analysis. The non-linear relationship between BMI and the risk of PIs in hospitalized adults was investigated using restricted cubic spline models. Fractional polynomial modeling was used. RESULTS: Eleven articles reporting at least 3 categories of BMI met the inclusion criteria, including 31,389 participants. Compared to patients with normal weight, those with underweight, obesity, and morbid obesity exhibited an increased risk of PIs, with odds ratios of 1.70 (95%CI:1.50-1.91), 1.12 (95%CI:1.02-1.24), 1.70 (95%CI:1.13-2.55), respectively. A J-shaped dose-response model was established for the relationship between PI risk and BMI (Pnon-linearity < 0.001, Plinearity = 0.745). CONCLUSION: The J-shaped dose-response pattern revealed that underweight, obesity and morbid obesity heightened the risk of PIs in hospitalized adults. Lower and higher BMI values may signify an increased risk for PIs, particularly among the elderly with lower BMI, providing valuable guidance for medical staff.

Suicide rates among people with serious mental illness: a systematic review and meta-analysis.

BACKGROUND: People with serious mental illness are at great risk of suicide, but little is known about the suicide rates among this population. We aimed to quantify the suicide rates among people with serious mental illness (bipolar disorder, major depression, or schizophrenia). METHODS: PubMed and Web of Science were searched to identify studies published from 1 January 1975 to 10 December 2020. We assessed English-language studies for the suicide rates among people with serious mental illness. Random-effects meta-analysis was used. Changes in follow-up time and the suicide rates were presented by a locally weighted scatter-plot smoothing (LOESS) curve. Suicide rate ratio was estimated for assessments of difference in suicide rate by sex. RESULTS: Of 5014 identified studies, 41 were included in this analysis. The pooled suicide rate was 312.8 per 100 000 person-years (95% CI 230.3-406.8). Europe was reported to have the highest pooled suicide rate of 335.2 per 100 000 person-years (95% CI 261.5-417.6). Major depression had the highest suicide rate of 534.3 per 100 000 person-years (95% CI 30.4-1448.7). There is a downward trend in suicide rate estimates over follow-up time. Excess risk of suicide in males was found [1.90 (95% CI 1.60-2.25)]. The most common suicide method was poisoning [21.9 per 100 000 person-years (95% CI 3.7-50.4)]. CONCLUSIONS: The suicide rates among people with serious mental illness were high, highlighting the requirements for increasing psychological assessment and monitoring. Further study should focus on region and age differences in suicide among this population.

A K+-sensitive photonic crystal hydrogel sensor for efficient visual monitoring of hyperkalemia/hypokalemia.

Potassium ions (K+) play crucial roles in many biological processes. Abnormal K+ levels in the body are usually associated with physiological disorders or diseases, and thus, developing K+-sensitive sensors/devices is of great importance for disease diagnosis and health monitoring. Herein, we report a K+-sensitive photonic crystal hydrogel (PCH) sensor with bright structural colors for efficient monitoring of serum potassium. This PCH sensor consists of a poly(acrylamide-co-N-isopropylacrylamide-co-benzo-15-crown-5-acrylamide) (PANBC) smart hydrogel with embedded Fe3O4 colloidal photonic crystals (CPCs), which could strongly diffract visible light and endow the hydrogel with brilliant structural colors. The rich 15-crown-5 (15C5) units appended on the polymer backbone could selectively bind K+ ions to form stable 2 : 1 [15C5]2/K+ supramolecular complexes. These bis-bidentate complexes served as physical crosslinkers to crosslink the hydrogel and contracted its volume, and thus reduced the lattice spacing of Fe3O4 CPCs and blue-shifted the light diffraction, and finally reported on the K+ concentrations by a color change of the PCH. Our fabricated PCH sensor possessed high K+ selectivity and pH- and thermo-sensitive response performances to K+. Most interestingly, the K+-responding PANBC PCH sensor could be conveniently regenerated via simple alternate flushing with hot/cold water due to the excellent thermosensitivity of the introduced PNIPAM moieties into the hydrogel. Such a PCH sensor provides a simple, low-cost and efficient strategy for visualized monitoring of hyperkalemia/hypokalemia, which will significantly promote the development of biosensors.

COVID-19 in patients with systemic lupus erythematosus: A systematic review.

The objectives of the study were to review the articles to identify (a) the epidemiology of systemic lupus erythematosus (SLE) and coronavirus disease 2019 (COVID-19); (b) the clinical characteristics of SLE patients with COVID-19; (c) the treatment of COVID-19 in SLE patients; and (d) the impact of COVID-19 pandemic on SLE patients. PubMed was systematically reviewed for literature published from December 2019 to June 2021. Our search was limited to human studies, with language restriction of English. Studies were included if they reported COVID-19 in SLE patients. Our systematic review included 52 studies. The prevalence of COVID-19 infection ranged from 0.0% to 18.1% in SLE patients, and the hospitalisation rates ranged from 0.24% to 10.6%. COVID-19 infection is likely to mimic SLE flare. Hydroxychloroquine (HCQ) was ineffective in prevention of COVID-19, and SLE patients with COVID-19 faced difficulty in healthcare access, had financial constraints and suffered from psychological distress during the pandemic. The pandemic had a significant effect on mental and physical health. Adequate healthcare access, along with containment policies, social distancing measures and psychological nursing was required.

Compassion fatigue, burnout and compassion satisfaction among emergency nurses: A path analysis.

AIMS: To verify a hypothesized model of the relationships between compassion fatigue, burnout and compassion satisfaction, as well as their influencing factors and consequences, among emergency nurses. DESIGN: A descriptive, cross-sectional design. METHODS: A hypothesized model was proposed on the basis of the current literature. A convenience sample was conducted of nurses working in the emergency departments of six hospitals in Shanghai, China, from July to September 2020. A total of 445 valid data points were collected using various self-designed and well-validated instruments. Descriptive statistics and correlations were computed, and a path analysis was used to assess model fitness and to investigate direct and indirect effects. RESULTS: The final model reported a desirable fit with significant paths. Compassion satisfaction and compassion fatigue directly and inversely affected burnout, and compassion satisfaction positively influenced compassion fatigue. Perceived social support directly improved compassion satisfaction and protected against compassion fatigue. Compassion satisfaction and compassion fatigue directly affected mental health, and burnout directly influenced physical health. Compassion fatigue, burnout and compassion satisfaction had complicated effects on turnover intention. CONCLUSION: Emergency nurses' compassion satisfaction and compassion fatigue may be two coexisting constructs, and both affect burnout. Perceived social support acts as a protector of the three dimensions, and their effects on health status and turnover intention can be significant and complicated. IMPACT: Emergency nurses may experience high levels of compassion satisfaction and compassion fatigue simultaneously, which can help to explain why compassion fatigue did not directly increase emergency nurses' turnover intention. The direct effects of compassion fatigue and burnout on emergency nurses' health status and working engagement were significantly different. Support from significant others, professional psychological intervention and emergency nursing system reforms are required to tackle emergency nurses' compassion fatigue and burnout and improve their compassion satisfaction.

Association between social support and suicidal ideation in patients with cancer: A systematic review and meta-analysis.

OBJECTIVE: To quantitatively examine the relationship between social support and suicidal ideation (SI) among patients with cancer and identify the moderators that influence the magnitude of this association. METHODS: Publications were searched in PubMed, PsycINFO, EMBASE, Cochrane Library and Chinese National Knowledge Infrastructure from database inception to May, 2020. Correlation coefficients (r) were chosen as the effect size with a random model to evaluate the overall effect size between social support and SI in patients with cancer. To assess statistical heterogeneity, we examined potential moderator variables on the social support and SI. RESULTS: A total of 881 studies were identified in initial search, and twelve studies were eligible. A negative, small but significant correlation (r = -0.22, 95% CIs: -0.30,-0.14, p < 0.001) was observed between social support and SI in patients with cancer, with a significant heterogeneity (I2  = 95.24%, Q = 231.27, p < 0.001). Moderator analyses indicated that race/ethnicity (Q(1) = 8.4, p < 0.05) and measurements of social support (Q(3) = 9.78, p < 0.05) and SI (Q(3) = 9.69, p < 0.05) significantly moderate the effect size between social support and SI. CONCLUSION: Taken together, we found a negative yet significant association between social support and SI in patients with cancer, which supported the importance of social support for the prevention of SI in patients with cancer.

SNPs in PRKCA-HIF1A-GLUT1 are associated with diabetic kidney disease in a Chinese Han population with type 2 diabetes.

OBJECTIVE: To explore the relationship between SNPs in PRKCA-HIF1A-GLUT1 and diabetic kidney disease in Chinese Han people. MATERIALS AND METHODS: A total of 2552 participants from Shanghai Diabetes Institute Inpatient Database of Shanghai Jiao Tong University Affiliated Sixth People's Hospital were involved in the stage 1 cross-sectional population. A total of 6015 subjects from the Hong Kong Diabetes Register were included for validation. Genotyping of participants was conducted by the MassARRAY Compact Analyzer (Agena Bioscience). The data were analysed by plink, SAS, Haploview. RESULTS: We identified variants associated with diabetic kidney disease in stage 1. Rs1681851 (P = .0105, OR = 1.331) in GLUT1 as well as rs2301108 (P = .0085, OR = 1.289) and rs79865957 (P = .0204, OR = 1.263) in HIF1A were significantly associated with diabetic kidney disease. Regarding DKD-related traits, rs1681851 was associated with plasma creatinine levels (P = .0169, ß = 4.822) and eGFR (P = .0457, ß = -6.956). Moreover, the results showed the interactions between PRKCA-GLUT1 in the occurrence of DKD. We further sought validation of the 17 SNPs in a prospective cohort and found that rs900836 and rs844501 were associated with the percentage change in eGFR slope. We performed a meta-analysis of case-control analysis data from the Hong Kong samples together with the stage 1 data from Shanghai. Rs9894851 showed significant correlation with the serum creatinine level as well as eGFR and no SNP showed association with DKD after meta-analysis. CONCLUSIONS: Our results suggest potential association between SNPs in PRKCA-HIF1A-GLUT1 and diabetic kidney disease in Chinese Han people.

Incidence of Pressure Injury in Individuals With Spinal Cord Injury: A Systematic Review and Meta-analysis.

PURPOSE: The purpose of this systematic review and quantitative analysis of pooled data was to assess the global incidence of pressure injury (PI), across time frames and countries, in individuals with spinal cord injury (SCI). DESIGN: Systematic review and meta-analysis. SEARCH STRATEGY: PubMed, Web of Science, and EMBASE databases were systematically searched for studies published from database inception to January 2019, with only English language studies that reported the incidence of PIs in individuals with SCI were included. Study quality was assessed by a 14-item standardized checklist. We calculated the incidence of PIs as the number of new PIs in individuals with SCI and the total number of individuals with SCI during the study period. Findings are presented as incidence rate with 95% confidence intervals (CIs). RESULTS: The search yielded 1652 studies; after studies were reviewed for inclusion criteria, 29 studies representing N = 82,722 patients were retained for data extraction. The global incidence of PIs was 0.23 (95% CI, 0.20-0.26). Data for regional distribution by country showed a pooled incidence of 0.43 (95% CI, 0.28-0.57) in individuals with SCI in South American countries, 0.36 (95% CI, 0.16-0.56) in African countries, 0.25 (95% CI, 0.14-0.37) in European countries, 0.23 (95% CI, 0.19-0.27) in North American countries, and 0.16 (95% CI, 0.06-0.25) in Asian countries. The incidence was 0.22 (95% CI, 0.19-0.26) in developing countries versus 0.27 (95% CI, 0.17-0.37) in developed countries. From 2000 to 2009, the incidence of PIs in individuals with SCI was 0.28 (95% CI, 0.09-0.47). The incidence rate of PIs before 2000 and after 2009 was 0.23. The hospital- and community-acquired PI incidence was 0.22 (95% CI, 0.19-0.26) and 0.26 (95% CI, 0.20-0.32), respectively. CONCLUSIONS: Study findings indicate that more than 1 in 5 individuals with SCI will develop a PI. Individuals with SCI are at high risk of developing PI, especially in community settings or low- and middle-income developing countries. The findings highlight the importance of further investigation of risk factors and prevention and management strategies for PIs in individuals with SCI.

Linking observational data from general practice, hospital admissions and diabetes clinic databases: can it be used to predict hospital admission?

BACKGROUND: Linking process of care data from general practice (GP) and hospital data may provide more information about the risk of hospital admission and re-admission for people with type-2 diabetes mellitus (T2DM). This study aimed to extract and link data from a hospital, a diabetes clinic (DC). A second aim was to determine whether the data could be used to predict hospital admission for people with T2DM. METHODS: Data were extracted using the GRHANITE™ extraction and linkage tool. The data from nine GPs and the DC included data from the two years prior to the hospital admission. The date of the first hospital admission for patients with one or more admissions was the index admission. For those patients without an admission, the census date 31/03/2014 was used in all outputs requiring results prior to an admission. Readmission was any admission following the index admission. The data were summarised to provide a comparison between two groups of patients: 1) Patients with a diagnosis of T2DM who had been treated at a GP and had a hospital admission and 2) Patients with a diagnosis of T2DM who had been treated at a GP and did not have a hospital admission. RESULTS: Data were extracted for 161,575 patients from the three data sources, 644 patients with T2DM had data linked between the GPs and the hospital. Of these, 170 also had data linked with the DC. Combining the data from the different data sources improved the overall data quality for some attributes particularly those attributes that were recorded consistently in the hospital admission data. The results from the modelling to predict hospital admission were plausible given the issues with data completeness. CONCLUSION: This project has established the methodology (tools and processes) to extract, link, aggregate and analyse data from general practices, hospital admission data and DC data. This study methodology involved the establishment of a comparator/control group from the same sites to compare and contrast the predictors of admission, addressing a limitation of most published risk stratification and admission prediction studies. Data completeness needs to be improved for this to be useful to predict hospital admissions.

Ultrasensitive microchip based on smart microgel for real-time online detection of trace threat analytes.

Real-time online detection of trace threat analytes is critical for global sustainability, whereas the key challenge is how to efficiently convert and amplify analyte signals into simple readouts. Here we report an ultrasensitive microfluidic platform incorporated with smart microgel for real-time online detection of trace threat analytes. The microgel can swell responding to specific stimulus in flowing solution, resulting in efficient conversion of the stimulus signal into significantly amplified signal of flow-rate change; thus highly sensitive, fast, and selective detection can be achieved. We demonstrate this by incorporating ion-recognizable microgel for detecting trace Pb(2+), and connecting our platform with pipelines of tap water and wastewater for real-time online Pb(2+) detection to achieve timely pollution warning and terminating. This work provides a generalizable platform for incorporating myriad stimuli-responsive microgels to achieve ever-better performance for real-time online detection of various trace threat molecules, and may expand the scope of applications of detection techniques.

Dynamic characteristics of oxygen consumption.

BACKGROUND: Previous studies have indicated that oxygen uptake ([Formula: see text]) is one of the most accurate indices for assessing the cardiorespiratory response to exercise. In most existing studies, the response of [Formula: see text] is often roughly modelled as a first-order system due to the inadequate stimulation and low signal to noise ratio. To overcome this difficulty, this paper proposes a novel nonparametric kernel-based method for the dynamic modelling of [Formula: see text] response to provide a more robust estimation. METHODS: Twenty healthy non-athlete participants conducted treadmill exercises with monotonous stimulation (e.g., single step function as input). During the exercise, [Formula: see text] was measured and recorded by a popular portable gas analyser ([Formula: see text], COSMED). Based on the recorded data, a kernel-based estimation method was proposed to perform the nonparametric modelling of [Formula: see text]. For the proposed method, a properly selected kernel can represent the prior modelling information to reduce the dependence of comprehensive stimulations. Furthermore, due to the special elastic net formed by [Formula: see text] norm and kernelised [Formula: see text] norm, the estimations are smooth and concise. Additionally, the finite impulse response based nonparametric model which estimated by the proposed method can optimally select the order and fit better in terms of goodness-of-fit comparing to classical methods. RESULTS: Several kernels were introduced for the kernel-based [Formula: see text] modelling method. The results clearly indicated that the stable spline (SS) kernel has the best performance for [Formula: see text] modelling. Particularly, based on the experimental data from 20 participants, the estimated response from the proposed method with SS kernel was significantly better than the results from the benchmark method [i.e., prediction error method (PEM)] ([Formula: see text] vs [Formula: see text]). CONCLUSIONS: The proposed nonparametric modelling method is an effective method for the estimation of the impulse response of VO2-Speed system. Furthermore, the identified average nonparametric model method can dynamically predict [Formula: see text] response with acceptable accuracy during treadmill exercise.

Characteristics and Correlates of Caregivers' Perceptions of Their Family Members' Memory Loss.

BACKGROUND: Understanding caregiver's perceptions of their family member's memory loss is a necessary step in planning nursing interventions to detect and address caregiver burden. OBJECTIVE: The purpose of this study was to characterize caregivers' perceptions of their family members' memory loss and identify potential correlates within Leventhal's common sense model (CSM). METHODS: This secondary analysis used baseline data from a larger randomized controlled trial. Patients with memory loss and their caregivers (N = 83 dyads) from the community were included. The adapted Brief Illness Perception Questionnaire (BIPQ) assessed caregivers' illness perceptions. Eight additional instruments measured correlates within the CSM. Responses were described; multiple linear regression was used to predict BIPQ dimension scores, and logistic regression was used to predict dichotomized BIPQ scores. RESULTS: Most caregivers were female, White, and spouses of the patients; they reported a range of perceptions on the nine BIPQ dimensions. Patients' cognitive function consistently emerged as a significant correlate of caregivers' illness perceptions, explaining the most variance in caregivers' perceived consequences, identity, and treatment control (p < .01). Caregivers' reactions to patients' behavioral symptoms and caregivers' trait anxiety were associated with perceived illness coherence (p < .01). Caregivers with higher severity of daily hassles and White caregivers perceived that their family members' memory loss would last longer (p < .001). DISCUSSION: Caregivers' perceptions of family members' memory loss varied; distinct dimensions of caregivers' illness perception were associated with a range of clinical and psychosocial factors. This exploratory study demonstrates the complexity of applying the CSM to caregivers of persons with memory loss.

Professional quality of life: A cross-sectional survey among Chinese clinical nurses.

The Professional Quality of Life Scale was adapted to create a Chinese version to investigate the professional quality of life of Chinese nurses and possible risk factors. A cross-sectional survey was conducted among 752 nurses sampled from four general hospitals in Shanghai, China. An expert panel, cognitive review, and pretest were used to ensure cultural adaptability. Psychometric tests included reliability and validity. One-way and multivariate analysis of variance were conducted for statistical analysis. Content validity indexes of all items were over 0.90. Five items were excluded because their item-total correlations and factor loading of exploratory factor analysis were less than 0.3. The 25-item scale revealed acceptable reliability. Confirmatory factor analysis supported its structure. There was variation in the scores between different departments, religions, working positions, nursing experiences, forms of employment, and average working hours (all P < 0.05). This study extended the application of the original scale in Chinese nursing culture. Attention should be paid to risk factors and differences between East and West.

Integrating electronic health record information to support integrated care: practical application of ontologies to improve the accuracy of diabetes disease registers.

BACKGROUND: Information in Electronic Health Records (EHRs) are being promoted for use in clinical decision support, patient registers, measurement and improvement of integration and quality of care, and translational research. To do this EHR-derived data product creators need to logically integrate patient data with information and knowledge from diverse sources and contexts. OBJECTIVE: To examine the accuracy of an ontological multi-attribute approach to create a Type 2 Diabetes Mellitus (T2DM) register to support integrated care. METHODS: Guided by Australian best practice guidelines, the T2DM diagnosis and management ontology was conceptualized, contextualized and validated by clinicians; it was then specified, formalized and implemented. The algorithm was standardized against the domain ontology in SNOMED CT-AU. Accuracy of the implementation was measured in 4 datasets of varying sizes (927-12,057 patients) and an integrated dataset (23,793 patients). Results were cross-checked with sensitivity and specificity calculated with 95% confidence intervals. RESULTS: Incrementally integrating Reason for Visit (RFV), medication (Rx), and pathology in the algorithm identified nearly100% of T2DM cases. Incrementally integrating the four datasets improved accuracy; controlling for sample size, data incompleteness and duplicates. Manual validation confirmed the accuracy of the algorithm. CONCLUSION: Integrating multiple data elements within an EHR using ontology-based case-finding algorithms can improve the accuracy of the diagnosis and compensate for suboptimal data quality, and hence creating a dataset that is more fit-for-purpose. This clinical and pragmatic application of ontologies to EHR data improves the integration of data and the potential for better use of data to improve the quality of care.

A penicillinase-modified poly(N-isopropylacrylamide-co-acrylamide) smart hydrogel biosensor with superior recyclability for sensitive and colorimetric detection of penicillin G.

Antibiotics are widely used for treating bacterial infections. However, excessive or improper use of antibiotics can pose a serious threat to human health and water environments, and thus, developing cost-effective, portable and effective strategies to analyze and detect antibiotics is highly desired. Herein, we reported a responsive photonic hydrogel (RPH)-based optical biosensor (PPNAH) with superior recyclability for sensitive and colorimetric determination of a typical ß-lactam antibiotic penicillin G (PG) in water. This sensor was composed of poly(N-isopropylacrylamide-co-acrylamide) smart hydrogel with incorporated penicillinase and Fe3O4@SiO2 colloidal photonic crystals (CPCs). The sensor could translate PG concentration signals into changes in the diffraction wavelength and structural color of the hydrogel. It possessed high sensitivity and selectivity to PG and excellent detection performances for other two typical ß-lactam antibiotics. Most importantly, due to the unique thermosensitivity of the poly(N-isopropylacrylamide) moieties in the hydrogel, the PG-responded PPNAH sensor could be facilely regenerated via a simple physical method at least fifty times while without compromising its response performance. Besides, our sensor was suitable for monitoring the PG-contaminated environmental water and displayed satisfactory detection performances. Such a sensor possessed obvious advantages of superior recyclability, highly chemical stability, low production cost, easy fabrication, wide range of visual detection, simple and intuitive operation for PG detection, and environmental-friendliness, which holds great potential in sensitive and colorimetric detection of the PG residues in polluted water.

Pressure-sensitive multivesicular liposomes as a smart drug-delivery system for high-altitude pulmonary edema.

Changes in bodily fluid pressures, such as pulmonary artery pressure, play key roles in high-altitude pulmonary edema (HAPE) and other disorders. Smart delivery systems releasing a drug in response to these pressures might facilitate early medical interventions. However, pressure-responsive delivery systems are unavailable. We here constructed hydrostatic pressure-sensitive multivesicular liposomes (PSMVLs) based on the incomplete filling of the internal vesicle space with neutral lipids. These liposomes were loaded with amlodipine besylate (AB), a next-generation calcium channel inhibitor, to treat HAPE on time. AB-loaded PSMVLs (AB-PSMVLs) were destroyed, and AB was released through treatment under hydrostatic pressure of at least 25 mmHg. At 25 mmHg, which is the minimum pulmonary artery pressure value in HAPE, 38.8% of AB was released within 1 h. In a mouse HAPE model, AB-PSMVLs concentrated in the lung and released AB to diffuse into the vascular wall. Intravenously injected AB-PSMVLs before HAPE modeling resulted in a stronger protection of lung tissues and respiratory function and lower occurrence of pulmonary edema than treatment with free drug or non-pressure-sensitive AB-loaded liposomes. This study offers a new strategy for developing smart drug delivery systems that respond to changes in bodily fluid pressures.

Photo-responsive nanoporous liquid crystal polymer films for selective dye adsorption.

Photo-responsive nanoporous polymer films (AZOF-R(NC6)) have been developed by a template method based on a hydrogen-bonding supramolecular liquid crystal (LC) and a light-sensitive azobenzene LC crosslinker in this work. Anionic nanopores were obtained after the removal of template NC6 using KOH solution. The AZOF-R(NC6) demonstrates charge-selective dye adsorption and the maximum adsorption capacity for Rh6G is 504.6 mg g-1. The AZOF-R(NC6) film without UV light treatment shows a 32% higher adsorption capacity for Rh6G than the AZOF-R(NC6) film treated with UV light within the initial 10 min. In addition, UV light can trigger the release of the adsorbed dye from the polymer film due to the pore size change arising from the trans-cis isomerization. Besides, the used polymer film can be effectively regenerated using a HCl solution. Such functional polymer films with highly ordered nanopores and photo-responsive properties hold great promise in selective adsorption and mass separations.

Indirubin-3'-monoxime exhibits potent antiviral and anti-inflammatory effects against human adenoviruses in vitro and in vivo.

Human adenovirus (HAdV) infection is a major cause of respiratory disease, yet no antiviral drugs have been approved for its treatment. Herein, we evaluated the antiviral and anti-inflammatory effects of cyclin-dependent protein kinase (CDK) inhibitor indirubin-3'-monoxime (IM) against HAdV infection in cells and a transgenic mouse model. After evaluating its cytotoxicity, cytopathic effect reduction, antiviral replication kinetics, and viral yield reduction assays were performed to assess the anti-HAdV activity of IM. Quantitative real-time polymerase chain reaction (qPCR), quantitative reverse transcription PCR (qRT-PCR), and western blotting were used to assess the effects of IM on HAdV DNA replication, transcription, and protein expression, respectively. IM significantly inhibited HAdV DNA replication as well as E1A and Hexon transcription, in addition to significantly suppressing the phosphorylation of the RNA polymerase II C-terminal domain (CTD). IM mitigated body weight loss, reduced viral burden, and lung injury, decreasing cytokine and chemokine secretion to a greater extent than cidofovir. Altogether, IM inhibits HAdV replication by downregulating CTD phosphorylation to suppress viral infection and corresponding innate immune reactions as a promising therapeutic agent.