Predicting resilience of migratory birds to environmental change.

The pace and scale of environmental change represent major challenges to many organisms. Animals that move long distances, such as migratory birds, are especially vulnerable to change since they need chains of intact habitat along their migratory routes. Estimating the resilience of such species to environmental changes assists in targeting conservation efforts. We developed a migration modeling framework to predict past (1960s), present (2010s), and future (2060s) optimal migration strategies across five shorebird species (Scolopacidae) within the East Asian-Australasian Flyway, which has seen major habitat deterioration and loss over the last century, and compared these predictions to empirical tracks from the present. Our model captured the migration strategies of the five species and identified the changes in migrations needed to respond to habitat deterioration and climate change. Notably, the larger species, with single or few major stopover sites, need to establish new migration routes and strategies, while smaller species can buffer habitat loss by redistributing their stopover areas to novel or less-used sites. Comparing model predictions with empirical tracks also indicates that larger species with the stronger need for adaptations continue to migrate closer to the optimal routes of the past, before habitat deterioration accelerated. Our study not only quantifies the vulnerability of species in the face of global change but also explicitly reveals the extent of adaptations required to sustain their migrations. This modeling framework provides a tool for conservation planning that can accommodate the future needs of migratory species.

Time Window for Induced Hypertension in Acute Small Vessel Occlusive Stroke With Early Neurological Deterioration.

BACKGROUND: Therapeutic-induced hypertension treatment (iHTN) is helpful for alleviating early neurological deterioration (END) in acute small vessel occlusive stroke. We examined the time parameters related to iHTN effectiveness in these patients. METHODS: We retrospectively reviewed patients with acute small vessel occlusive stroke who underwent iHTN for END, defined as an increase of ≥2 points in total National Institutes of Health Stroke Scale (NIHSS) score or ≥1 point in motor items of NIHSS. The primary outcome was an early neurological improvement (ENI; a decrease of ≥2 points in total NIHSS score or ≥1 point in motor items of NIHSS), and the secondary outcome was any neurological improvement (a decrease of ≥1 point in the total NIHSS score). We conducted a multivariable logistic regression analysis, adjusting for demographics, risk factors, baseline clinical status, and intervention-related variables. We also generated a restricted cubic spline curve for the END-to-iHTN time cutoff. RESULTS: Among the 1062 patients with small vessel occlusive stroke screened between 2017 and 2021, 136 patients who received iHTN within 24 hours from END were included. The mean age was 65.1 (±12.0) years, and 61.0% were male. Sixty-five (47.8%) patients showed ENI and 77 (56.6%) patients showed any neurological improvement. END-to-iHTN time was significantly shorter in patients with ENI (150 [49-322] versus 290 [97-545] minutes; P=0.018) or any neurological improvement (150 [50-315] versus 300 [130-573] minutes; P=0.002). A 10-minute increase in the time between END and iHTN decreased the odds of achieving ENI (odds ratio, 0.984 [95% CI, 0.970-0.997]; P=0.019) or any neurological improvement (odds ratio, 0.978 [95% CI, 0.964-0.992]; P=0.002). The restricted cubic spline curve showed that the odds ratio of ENI reached its minimum at ≈3 hours. CONCLUSIONS: Among patients with small vessel occlusive stroke with END, a shorter interval between END and the initiation of iHTN was associated with increased odds of achieving neurological improvement. The efficacy of iHTN may be limited to induction within the first 3 hours of END.

Arabidopsis HSFA9 Acts as a Regulator of Heat Response Gene Expression and the Acquisition of Thermotolerance and Seed Longevity.

Heat-shock transcription factors (HSFs) are crucial for regulating plant responses to heat and various stresses, as well as for maintaining normal cellular functions and plant development. HSFA9 and HSFA2 are two of the Arabidopsis class A HSFs and their expressions are dramatically induced in response to heat shock (HS) stress among all 21 Arabidopsis HSFs. However, the detailed biological roles of their cooperation have not been fully characterized. In this study, we employed an integrated approach that combined bioinformatics, molecular genetics and computational analysis to identify and validate the molecular mechanism that controls seed longevity and thermotolerance in Arabidopsis. The acquisition of tolerance to deterioration was accompanied by a significant transcriptional switch that involved the induction of primary metabolism, reactive oxygen species and unfolded protein response, as well as the regulation of genes involved in response to dehydration, heat and hypoxia. In addition, the cis-regulatory motif analysis in normal stored and controlled deterioration treatment (CDT) seeds confirmed the CDT-repressed genes with heat-shock element (HSE) in their promoters. Using a yeast two-hybrid and molecular dynamic interaction assay, it is shown that HSFA9 acted as a potential regulator that can interact with HSFA2. Moreover, the knock-out mutants of both HSFA9 and HSFA2 displayed a significant reduction in seed longevity. These novel findings link HSF transcription factors with seed deterioration tolerance and longevity.

Multimodal neuroimaging exploration of the mechanisms of sleep quality deterioration after SARS-CoV-2 Omicron infection.

BACKGROUND: To evaluate the neurological alterations induced by Omicron infection, to compare brain changes in chronic insomnia with those in exacerbated chronic insomnia in Omicron patients, and to examine individuals without insomnia alongside those with new-onset insomnia. METHODS: In this study, a total of 135 participants were recruited between January 11 and May 4, 2023, including 26 patients with chronic insomnia without exacerbation, 24 patients with chronic insomnia with exacerbation, 40 patients with no sleep disorder, and 30 patients with new-onset insomnia after infection with Omicron (a total of 120 participants with different sleep statuses after infection), as well as 15 healthy controls who were never infected with Omicron. Neuropsychiatric data, clinical symptoms, and multimodal magnetic resonance imaging data were collected. The gray matter thickness and T1, T2, proton density, and perivascular space values were analyzed. Associations between changes in multimodal magnetic resonance imaging findings and neuropsychiatric data were evaluated with correlation analyses. RESULTS: Compared with healthy controls, gray matter thickness changes were similar in the patients who have and do not have a history of chronic insomnia groups after infection, including an increase in cortical thickness near the parietal lobe and a reduction in cortical thickness in the frontal, occipital, and medial brain regions. Analyses showed a reduced gray matter thickness in patients with chronic insomnia compared with those with an aggravation of chronic insomnia post-Omicron infection, and a reduction was found in the right medial orbitofrontal region (mean [SD], 2.38 [0.17] vs. 2.67 [0.29] mm; P < 0.001). In the subgroups of Omicron patients experiencing sleep deterioration, patients with a history of chronic insomnia whose insomnia symptoms worsened after infection displayed heightened medial orbitofrontal cortical thickness and increased proton density values in various brain regions. Conversely, patients with good sleep quality who experienced a new onset of insomnia after infection exhibited reduced cortical thickness in pericalcarine regions and decreased proton density values. In new-onset insomnia patients post-Omicron infection, the thickness in the right pericalcarine was negatively correlated with the Self-rating Anxiety Scale (r = - 0.538, P = 0.002, PFDR = 0.004) and Self-rating Depression Scale (r = - 0.406, P = 0.026, PFDR = 0.026) scores. CONCLUSIONS: These findings help us understand the pathophysiological mechanisms involved when Omicron invades the nervous system and induces various forms of insomnia after infection. In the future, we will continue to pay attention to the dynamic changes in the brain related to insomnia caused by Omicron infection.

Plasma vitamin D levels are correlated with the pathogenesis of human T-cell leukemia virus type 1-associated diseases.

The active form of vitamin D (VD) exerts hormonal effects by regulating the expression of genes involved in T-cell activity, cell differentiation, and proliferation. Human T-cell leukemia virus type 1 (HTLV-1) is a causative agent of life-threatening diseases, adult T-cell leukemia (ATL) and HTLV-1-associated myelopathy (HAM). Among ATL patients, hypercalcemia is one of the most serious complications due to bone resorption. In this study, wild-type mice administered UV-irradiated HTLV-1-infected cells showed up to 47% decrease of plasma VD level compared with untreated mice. To clarify the effect of HTLV-1 on plasma VD level, 315 samples registered in nationwide cohort study on ATL onset were measured. The VD level in HAM (14.98 ± 8.5 ng/mL) was significantly lower than those in asymptomatic carriers and ATL (p < 0.05). Upon comparing the VD levels in ATL stratified by disease subtypes, acute ATL showed a lower level (15.81 ± 12.0 ng/mL) than chronic and smoldering types (p < 0.05). In the longitudinal observation, VD levels were significantly higher in untreated spontaneous remission cases than in ATL progression cases, in which the VD levels decreased approximately 40% after onset. In cases of relapse after transplantation, the plasma VD level dropped to 38.7% of the pre-relapse level, while in cases of complete remission, the VD level increased with improvement of the performance status. Taken together, these results suggest that plasma VD level is a potential indicator for the onset and relapse of HTLV-1-associated diseases.

Development and Validation of a Machine Learning Algorithm Using Clinical Pages to Predict Imminent Clinical Deterioration.

BACKGROUND: Early detection of clinical deterioration among hospitalized patients is a clinical priority for patient safety and quality of care. Current automated approaches for identifying these patients perform poorly at identifying imminent events. OBJECTIVE: Develop a machine learning algorithm using pager messages sent between clinical team members to predict imminent clinical deterioration. DESIGN: We conducted a large observational study using long short-term memory machine learning models on the content and frequency of clinical pages. PARTICIPANTS: We included all hospitalizations between January 1, 2018 and December 31, 2020 at Vanderbilt University Medical Center that included at least one page message to physicians. Exclusion criteria included patients receiving palliative care, hospitalizations with a planned intensive care stay, and hospitalizations in the top 2% longest length of stay. MAIN MEASURES: Model classification performance to identify in-hospital cardiac arrest, transfer to intensive care, or Rapid Response activation in the next 3-, 6-, and 12-hours. We compared model performance against three common early warning scores: Modified Early Warning Score, National Early Warning Score, and the Epic Deterioration Index. KEY RESULTS: There were 87,783 patients (mean [SD] age 54.0 [18.8] years; 45,835 [52.2%] women) who experienced 136,778 hospitalizations. 6214 hospitalized patients experienced a deterioration event. The machine learning model accurately identified 62% of deterioration events within 3-hours prior to the event and 47% of events within 12-hours. Across each time horizon, the model surpassed performance of the best early warning score including area under the receiver operating characteristic curve at 6-hours (0.856 vs. 0.781), sensitivity at 6-hours (0.590 vs. 0.505), specificity at 6-hours (0.900 vs. 0.878), and F-score at 6-hours (0.291 vs. 0.220). CONCLUSIONS: Machine learning applied to the content and frequency of clinical pages improves prediction of imminent deterioration. Using clinical pages to monitor patient acuity supports improved detection of imminent deterioration without requiring changes to clinical workflow or nursing documentation.

Reduction of oxidative rancidification of fungal melanin-coated films in pork lard preservation in trading.

Storage of meat has always been challenging due to its deterioration caused by oxidative rancidity and microbial activity, especially in trading. The melanin-coated film acts as a potent antioxidant, prevents the oxidation of fatty acids, and neutralizes the reactive oxygen species (ROS) helping to withstand or perpetuate the oxidative stress of meat. This study emphasizes the production of fungal melanin extracted from Curvularia lunata and the preparation of two different melanin film combinations of gelatin/melanin and agar/melanin at 0.1% and 0.5% formulation for rancidity stability of coated pork lard. Interpretations revealed the delayed rancidity in both peroxide and acid values with 5.76% in 0.5% agar-coated melanin up to the 11th day which was supported by arithmetical analysis showing p < 0.05 are statistically significant. Further, upon testing the brine shrimp assay for melanin toxicity, 7% were in a mortal state at 1000 µg/mL concentration, considered zero lethality. This result implies that modified coatings, particularly when trading meats, that include fungal melanin can effectively prevent the oxidation of pork lard.

Hemodynamic Deterioration of Trauma Patients Undergoing Interhospital Transfer.

INTRODUCTION: Organized trauma systems reduce morbidity and mortality after serious injury. Rapid transport to high-level trauma centers is ideal, but not always feasible. Thus, interhospital transfers are an important component of trauma systems. However, transferring a seriously injured patient carries the risk of worsening condition before reaching definitive care. In this study, we evaluated characteristics and outcomes of patients whose hemodynamic status worsened during the transfer process. METHODS: We conducted a retrospective cohort study using data from the Pennsylvania Trauma Outcomes Study database from 2011 to 2018. Patients were included if they had a heart rate ≤ 100 and systolic blood pressure ≥ 100 at presentation to the referring hospital and were transferred within 24 h. We defined hemodynamic deterioration (HDD) as admitting heart rate > 100 or systolic blood pressure < 100 at the receiving center. We compared demographics, mechanism of injury, injury severity, management, and outcomes between patients with and without HDD using descriptive statistics and multivariable regression analysis. RESULTS: Of 52,919 included patients, 5331 (10.1%) had HDD. HDD patients were more often moderately-severely injured (injury severity score 9-15; 40.4% versus 39.4%, P < 0.001) and injured via motor vehicle collision (23.2% versus 16.6%, P < 0.001) or gunshot wound (2.1% versus 1.3%, P < 0.001). HDD patients more often had extremity or torso injuries and after transfer were more likely to be transferred to the intensive care unit (35% versus 28.5%, P < 0.001), go directly to surgery (8.4% versus 5.9%, P < 0.001), or interventional radiology (0.8% versus 0.3%, P < 0.001). Overall mortality in the HDD group was 4.9% versus 2.1% in the group who remained stable. These results were confirmed using multivariable analysis. CONCLUSIONS: Interhospital transfers are essential in trauma, but one in 10 transferred patients deteriorated hemodynamically in that process. This high-risk component of the trauma system requires close attention to the important aspects of transfer such as patient selection, pretransfer management/stabilization, and communication between facilities.

Predictors of Early versus Delayed Neurological Deterioration after Thrombolysis for Ischemic Stroke.

INTRODUCTION: We aimed to determine predictors of early (END) and delayed neurological deterioration (DND) and their association with the functional outcome in patients with acute ischemic stroke (AIS) who participated in the international Enhanced Control of Hypertension and Thrombolysis Stroke Study (ENCHANTED). METHODS: END and DND (without END) were defined as scores of a ≥2-point increase on the National Institutes of Health Stroke Scale (NIHSS) or a ≥1-point decrease on the Glasgow coma scale or death, from baseline to 24 h and 24-72 h, respectively. Multivariable logistic regression models were used to determine independent predictors of END and DND and their association with 90-day outcomes (dichotomous scores on the modified Rankin scale [mRS] of 2-6 vs. 0-1 and 3-6 vs. 0-2 and death). RESULTS: Of 4,496 patients, 871 (19.4%) and 302 (8.4%) patients experienced END and DND, respectively. Higher baseline NIHSS score, older age, large-artery occlusion due to significant atheroma, cardioembolic stroke subtype, hemorrhagic infarction and parenchymatous hematoma within 24 h were all independent predictors for both END (all p ≤ 0.01) and DND (all p ≤ 0.024). Moreover, higher baseline systolic blood pressure (BP) (odds ratio [OR] 1.07, 95% confidence interval [CI] 1.02-1.12), higher diastolic BP variability within 24 h (OR 1.07, 95% CI 1.04-1.09), patients from Asia (OR 1.25, 95% CI 1.03-1.52) were the only independent predictors for END. However, Asian ethnicity was negatively associated with DND (OR 0.64, 95% CI 0.47-0.86). Hemorrhagic infarction and parenchymatous hematoma within 24 h were the key predictors of END across all stroke subtypes. END and DND were all associated with a poor functional outcome at 90 days (all p < 0.001). CONCLUSION: We identified overlapping and unique demographic and clinical predictors of END and DND after thrombolysis for AIS. Both END and DND predict unfavorable outcomes at 90 days.

Association between Rapid Ventricular Response and Stroke Outcomes in Atrial Fibrillation-Related Cardiac Embolic Stroke.

INTRODUCTION: Patients with atrial fibrillation-related stroke (AF-stroke) are prone to developing rapid ventricular response (RVR). We investigated whether RVR is associated with initial stroke severity, early neurological deterioration (END) and poor outcome at 3 months. METHODS: We reviewed patients who had AF-stroke between January 2017 and March 2022. RVR was defined as having heart rate >100 beats per minute on initial electrocardiogram. Neurological deficit was evaluated with National Institutes of Health Stroke Scale (NIHSS) score at admission. END was defined as increase of ≥2 in total NIHSS score or ≥1 in motor NIHSS score within first 72 h. Functional outcome was score on modified Rankin Scale at 3 months. Mediation analysis was performed to examine potential causal chain in which initial stroke severity may mediate relationship between RVR and functional outcome. RESULTS: We studied 568 AF-stroke patients, among whom 86 (15.1%) had RVR. Patients with RVR had higher initial NIHSS score (p < 0.001) and poor outcome at 3 months (p = 0.004) than those without RVR. The presence of RVR [adjusted odds ratio (aOR) = 2.13; p = 0.013] was associated with initial stroke severity, but not with END and functional outcome. Otherwise, initial stroke severity [aOR = 1.27; p = <0.001] was significantly associated with functional outcome. Initial stroke severity as a mediator explained 58% of relationship between RVR and poor outcome at 3 months. CONCLUSION: In patients with AF-stroke, RVR was independently associated with initial stroke severity but not with END and functional outcome. Initial stroke severity mediated considerable proportion of association between RVR and functional outcome.

Culprit Plaques of Large Parent Arteries, Rather than Cerebral Small Vessel Disease, Contribute to Early Neurological Deterioration in Stroke Patients with Intracranial Branch Atheromatous Disease.

INTRODUCTION: Intracranial branch atheromatous disease (BAD) has been applied to occlusions that occur at the origin of large caliber penetrating arteries due to the microatheromas or large parent artery plaques. This study aimed to explore the association between culprit plaques of large parent arteries, neuroimaging markers of cerebral small vessel disease (CSVD), and the risk of early neurological deterioration (END) in stroke patients with BAD. METHODS: A total of 97 stroke patients with BAD in the vascular territories of the lenticulostriate arteries or paramedian pontine arteries, diagnosed using high-resolution magnetic resonance imaging, were prospectively recruited in this observational study. A culprit plaque in the middle cerebral artery was defined as the only arterial plaque on the ipsilateral side of an infarction visible on diffusion-weighted imaging. A culprit plaque in the basilar artery (BA) was identified when it was observed within the same axial slices of an infarction or on the adjacent upper or lower slice, whereas a plaque within the BA located in the ventral region was considered non-culprit. If more than one plaque was present in the same vascular territory, the most stenotic plaque was chosen for the analysis. Four CSVD neuroimaging markers, including white matter hyperintensity, lacunes, microbleeds, and enlarged perivascular spaces, were evaluated in accordance with the total CSVD score. The associations between neuroimaging features of lesions within large parent arteries, neuroimaging markers of CSVD, and the risk of END in stroke patients with BAD were investigated using logistic regression analysis. RESULTS: END occurred in 41 stroke patients (42.27%) with BAD. The degree of large parent artery stenosis (p < 0.001), culprit plaques of large parent arteries (p < 0.001), and plaque burden (p < 0.001) were significantly different between the END and non-END groups in stroke patients with BAD. In logistic regression analysis, culprit plaques of large parent arteries (odds ratio, 32.258; 95% confidence interval, 4.140-251.346) were independently associated with the risk of END in stroke patients with BAD. CONCLUSIONS: Culprit plaques of large parent arteries could predict the risk of END in stroke patients with BAD. These results suggest that lesions in the large parent arteries, rather than damage to the cerebral small vessels, contribute to END in stroke patients with BAD.

Rescue therapy of early neurological deterioration in lacunar stroke.

BACKGROUND: Early neurological deterioration (END) occurs in many patients with acute ischemic stroke due to a variety of causes. Although pharmacologically induced hypertension (PIH) and anticoagulants have been investigated in several clinical trials for the treatment of END, the efficacy and safety of these treatments remain unclear. Here, we investigated whether PIH or anticoagulation is better as a rescue therapy for the progression of END in patients with lacunar stroke. METHODS: This study included patients with lacunar stroke who received rescue therapy with END within 3 days of symptom onset between April 2014 and August 2021. In the PIH group, phenylephrine was administered intravenously for 24 h and slowly tapered when symptoms improved or after 5 days of PIH. In the anticoagulation group, argatroban was administered continuously intravenously for 2 days and twice daily for next 5 days. We compared END recovery, defined as improvement in NIHSS from baseline, excellent outcomes (0 or 1 mRS at 3 months), and safety profile. RESULTS: Among the 4818 patients with the lacunar stroke, END occurred in 147 patients. Seventy-nine patients with END received PIH (46.9%) and 68 patients (46.3%) received anticoagulation therapy. There was no significant difference in age (P = 0.82) and sex (P = 0.87) between the two groups. Compared to the anticoagulation group, the PIH group had a higher incidence of END recovery (77.2% vs. 51.5%, P < 0.01) and excellent outcomes (34.2% vs. 16.2%, P = 0.04). PIH was associated with END (HR 2.49; 95% CI 1.06-5.81, P = 0.04). PIH remained associated with END recovery (adjusted HR 3.91; 95% CI 1.19-12.90, P = 0.02). Safety outcomes, like hemorrhagic conversion and mortality, were not significantly different between the two groups. CONCLUSIONS: As a rescue therapy for the progression of END in lacunar stroke patients, PIH with phenylephrine was more effective with similar safety compared to anticoagulation with argatroban.

Relative score of early neurological deterioration in perforator artery infarction: a retrospective study.

BACKGROUND AND AIMS: Compared to small vessel occlusion (SVO) patients, branch atheromatous disease (BAD) patients are more likely to develop early neurological deterioration (END). Stroke patients with END have a poor prognosis. Initial clinical features/radiological findings are often insufficient to distinguish between BAD and SVO; therefore, they may not detect END. In this retrospective study, we investigated relative factors for END in perforator artery infarction and created a scoring system for END in these patients. METHODS: We extracted data from stroke patients with perforator artery infarction admitted to the Department of Neurology at Juntendo University between January 2016 and December 2022. We examined factors, such as the presence of SVO and BAD, leading to END. Variables with a P-value < 0.1 on univariate analysis were entered into binominal logistic regression analysis. RESULTS: Of the 1,420 stroke patients admitted over a 7-year period, 201 with perforator infarction were included in this study. END was found in 27 of 201 patients (13.4%). Binominal logistic regression analysis of background factors less than p < 0.1 revealed that age > 69 (P = 0.032; odds ratio [OR], 3.941; 95% confidence interval [CI], 1.126-13.769), body mass index < 23.8 (P = 0.041; OR, 3.183; 95%CI, 1.049-9.654), and pretreatment with anti-platelets (P = 0.003; OR, 5.183; 95%CI, 1.783-15.071) were significant factors. Regarding anti-platelet therapy, END was observed in 34.4% of patients administered aspirin and 35.0% administered clopidogrel. Initial infarct lesion size over 15 mm on initial MRI had a P value of 0.076 in univariate analysis and an odds ratio of 1.330 (95% CI 0.471-3.755; P = 0.590) in binomial logistic regression analysis. The length of stay and modified Rankin Scale at discharge were significantly exacerbated in the END group. Creating a scoring system with 1 point for each relevant factor (pEND score), significant correlations were obtained with ROC curves, and over 2 points produced the highest sensitivity and specificity for detecting END. CONCLUSION: Patients with high pEND scores may require intensive care from early hospitalization. In addition, the occurrence of stroke during anti-platelet therapy suggests the need for alternative treatment.

MRI-based clinical-radiomics nomogram to predict early neurological deterioration in isolated acute pontine infarction: a two-center study in Northeast China.

OBJECTIVE: To predict the appearance of early neurological deterioration (END) among patients with isolated acute pontine infarction (API) based on magnetic resonance imaging (MRI)-derived radiomics of the infarct site. METHODS: 544 patients with isolated API were recruited from two centers and divided into the training set (n = 344) and the verification set (n = 200). In total, 1702 radiomics characteristics were extracted from each patient. A support vector machine algorithm was used to construct a radiomics signature (rad-score). Subsequently, univariate and multivariate logistic regression (LR) analysis was adopted to filter clinical indicators and establish clinical models. Then, based on the LR algorithm, the rad-score and clinical indicators were integrated to construct the clinical-radiomics model, which was compared with other models. RESULTS: A clinical-radiomics model was established, including the 5 indicators rad-score, age, initial systolic blood pressure, initial National Institute of Health Stroke Scale, and triglyceride. A nomogram was then made based on the model. The nomogram had good predictive accuracy, with an area under the curve (AUC) of 0.966 (95% confidence interval [CI] 0.947-0.985) and 0.920 (95% [CI] 0.873-0.967) in the training and verification sets, respectively. According to the decision curve analysis, the clinical-radiomics model showed better clinical value than the other models. In addition, the calibration curves also showed that the model has excellent consistency. CONCLUSION: The clinical-radiomics model combined MRI-derived radiomics and clinical metrics and may serve as a scoring tool for early prediction of END among patients with isolated API.

Five-Year Transcatheter Aortic Valve Replacement Outcomes in Chronic Hemodialysis vs. Non-Hemodialysis Patients Using Balloon-Expandable Devices.

BACKGROUND: Based on the results of a clinical trial in Japan, transcatheter aortic valve replacement (TAVR) for hemodialysis (HD) patients gained approval; however, mid-term TAVR outcomes and transcatheter aortic valve (TAV) durability in HD patients remain unexplored.Methods and Results: We analyzed background, procedural, in-hospital outcome, and follow-up data for 101 HD patients and 494 non-HD patients who underwent TAVR using balloon-expandable valves (SAPIEN XT or SAPIEN 3) retrieved from Osaka University Hospital TAVR database. Periprocedural mortality and TAVR-related complications were comparable between HD and non-HD patients. However, Kaplan-Meier analysis revealed that HD patients had significantly lower survival rates (log-rank test, P<0.001). In addition, HD patients had significantly higher rates of severe structural valve deterioration (SVD) than non-HD patients (Gray test, P=0.038). CONCLUSIONS: TAVR in HD patients had comparable periprocedural mortality but inferior mid-term survival and TAV durability than in non-HD patients. Indications for TAVR in younger HD patients should be carefully determined, considering the possibility of a TAV-in-TAV procedure when early SVD occurs.

The collective burden of childhood dementia: a scoping review.

Childhood dementia is a devastating and under-recognized group of disorders with a high level of unmet need. Typically monogenic in origin, this collective of individual neurodegenerative conditions are defined by a progressive impairment of neurocognitive function, presenting in childhood and adolescence. This scoping review aims to clarify definitions and conceptual boundaries of childhood dementia and quantify the collective disease burden. A literature review identified conditions that met the case definition. An expert clinical working group reviewed and ratified inclusion. Epidemiological data were extracted from published literature and collective burden modelled. One hundred and seventy genetic childhood dementia disorders were identified. Of these, 25 were analysed separately as treatable conditions. Collectively, currently untreatable childhood dementia was estimated to have an incidence of 34.5 per 100 000 (1 in 2900 births), median life expectancy of 9 years and prevalence of 5.3 per 100 000 persons. The estimated number of premature deaths per year is similar to childhood cancer (0-14 years) and approximately 70% of those deaths will be prior to adulthood. An additional 49.8 per 100 000 births are attributable to treatable conditions that would cause childhood dementia if not diagnosed early and stringently treated. A relational database of the childhood dementia disorders has been created and will be continually updated as new disorders are identified (https://knowledgebase.childhooddementia.org/). We present the first comprehensive overview of monogenic childhood dementia conditions and their collective epidemiology. Unifying these conditions, with consistent language and definitions, reinforces motivation to advance therapeutic development and health service supports for this significantly disadvantaged group of children and their families.

Prioritising deteriorating patients using time-to-event analysis: prediction model development and internal-external validation.

BACKGROUND: Binary classification models are frequently used to predict clinical deterioration, however they ignore information on the timing of events. An alternative is to apply time-to-event models, augmenting clinical workflows by ranking patients by predicted risks. This study examines how and why time-to-event modelling of vital signs data can help prioritise deterioration assessments using lift curves, and develops a prediction model to stratify acute care inpatients by risk of clinical deterioration. METHODS: We developed and validated a Cox regression for time to in-hospital mortality. The model used time-varying covariates to estimate the risk of clinical deterioration. Adult inpatient medical records from 5 Australian hospitals between 1 January 2019 and 31 December 2020 were used for model development and validation. Model discrimination and calibration were assessed using internal-external cross validation. A discrete-time logistic regression model predicting death within 24 h with the same covariates was used as a comparator to the Cox regression model to estimate differences in predictive performance between the binary and time-to-event outcome modelling approaches. RESULTS: Our data contained 150,342 admissions and 1016 deaths. Model discrimination was higher for Cox regression than for discrete-time logistic regression, with cross-validated AUCs of 0.96 and 0.93, respectively, for mortality predictions within 24 h, declining to 0.93 and 0.88, respectively, for mortality predictions within 1 week. Calibration plots showed that calibration varied by hospital, but this can be mitigated by ranking patients by predicted risks. CONCLUSION: Time-varying covariate Cox models can be powerful tools for triaging patients, which may lead to more efficient and effective care in time-poor environments when the times between observations are highly variable.

FLAIR signal intensity ratio predicts small subcortical infarct early neurologic deterioration: a cross-sectional study.

PURPOSE: Prior studies have used the fluid-attenuated inversion recovery sequence signal intensity ratio (FLAIR-SIR) to predict those with an incomplete infarct that may safely receive acute thrombolytics. Clinical early neurologic deterioration (END) of small subcortical infarcts (SSIs) is suspected to occur due to delayed infarct completion. We aimed to understand if a lower FLAIR-SIR, suggestive of an incomplete infarct, would have a higher likelihood of SSI-related END. METHODS: A cross-sectional retrospective study was performed of those with an acute SSI (anterior or posterior circulation) without significant parent vessel steno-occlusive disease. END was defined as a new or worsened disabling neurologic deficit during the index hospitalization. Standard-of-care brain MRIs were reviewed from the hospitalization, and a FLAIR-SIR cutoff of ≤ 1.15 was used based on prior studies. Adjusted logistic regression models were used for analysis. RESULTS: We identified 252 patients meeting inclusion criteria: median (IQR) age 68 (12) years, 38.5% (97/252) female, and 11% (28/252) with END. Tobacco use was more common in those without END (32%) compared with END (55%, p = 0.03). In adjusted analyses, a FLAIR-SIR cutoff of ≤ 1.15 yielded an odds ratio of 2.8 (95% CI 1.23-6.13, p = 0.012) of early neurological deterioration. CONCLUSION: Those with a FLAIR-SIR ≤ 1.15 are nearly threefold more likely to develop SSI-related END.

Diversity and composition of microbial communities in Jinsha earthen site under different degree of deterioration.

Earthen sites are the important cultural heritage that carriers of human civilization and contains abundant history information. Microorganisms are one of important factors causing the deterioration of cultural heritage. However, little attention has been paid to the role of biological factors on the deterioration of earthen sites at present. In this study, microbial communities of Jinsha earthen site soils with different deterioration types and degrees as well as related to environmental factors were analyzed. The results showed that the concentrations of Mg2+ and SO42- were higher in the severe deterioration degree soils than in the minor deterioration degree soils. The Chao1 richness and Shannon diversity indices of bacteria in different type deterioration were higher in the summer than in the winter; the Chao1 and Shannon indices of fungi were lower in the summer. The differences in bacterial and fungal communities were associated with differences in Na+, K+, Mg2+ and Ca2+ contents. Based on both the relative abundances in amplicon sequencing and isolated strains, the bacterial phyla Actinobacteria, Firmicutes and Proteobacteria, and the Ascomycota genera Aspergillus, Cladosporium and Penicillium were common in all soils. The OTUs enriched in the severe deterioration degree soils were mostly assigned to Actinobacteria and Proteobacteria, whereas the Firmicutes OTUs differentially abundant in the severe deterioration degree were all depleted. All bacterial isolates produced alkali, implying that the deterioration on Jinsha earthen site may be accelerated through alkali production. The fungal isolates included both alkali and acid producing strains. The fungi with strong ability to produce acid were mainly from the severe deterioration degree samples and were likely to contribute to the deterioration. Taken together, the interaction between soil microbial communities and environment may affect the soil deterioration, accelerate the deterioration process and threaten the long-term preservation of Jinsha earthen site.

Patients' perceptions of post-treatment factors that influenced skill use after cognitive-behavioral therapy for bulimia nervosa spectrum disorders.

OBJECTIVE: Deterioration rate among patients with bulimia-spectrum eating disorders (BN-EDs) after receiving enhanced cognitive-behavioral therapy (CBT-E) remains high. Previous studies identified body image concerns, environmental triggers, lack of social support, lack of resources, comorbidity, and discontinued skill use as predictors of deterioration. However, no studies have qualitatively explored patients' perceptions of how these factors influenced their skill use and led to deterioration after receiving outpatient CBT. METHODS: This study aimed to qualitatively explore (1) what post-treatment factors patients believe contributed to deterioration, and (2) whether patients continued to practice the CBT skills they learned from treatment and identify motivators and barriers to post-treatment skill use. Twelve participants who had previously completed 16 sessions of CBT for their BN-EDs and experienced at least modest treatment responses participated in the qualitative interviews. RESULTS: Four themes were identified from the qualitative interviews. Post-treatment deterioration was primarily driven by decreased skill use due to a perceived sudden loss of accountability and continued body dissatisfaction after treatment ended. Discontinued practice of binge analysis led to decreased awareness of the relationship between poor skill use and ED behaviors. Difficulty accessing resources impeded participants from receiving external help to address challenges in skill practice, thus also contributing to deterioration. DISCUSSION: Findings suggested that outpatient treatment for BN-EDs patients should emphasize more on body image concern, and deterioration prevention for outpatient CBT-E should focus on building self-accountability to keep practicing skills after treatment ends. PUBLIC SIGNIFICANCE: This study was the first to qualitatively explore post-treatment factors influencing skill use and deterioration in patients with bulimia-spectrum eating disorders after they completed outpatient CBT. Findings indicated that decreased skill use was a primary driver of post-treatment deterioration, and that relapse prevention for outpatient CBT for BN-EDs should focus on enhancing patients' self-accountability to continue practicing therapeutic skills independently after treatment ended.