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Dementia affects millions globally, with a subset of cases potentially reversible. This study evaluates the incidence, clinical markers and treatment outcomes of reversible dementias (ReDem).
Method:
This retrospective study included 370 ReDem cases from 1810 dementia patients. The ReDem cohort was split into potentially reversible dementias (PRD) and dual etiology (DE) groups. PRD encompassed secondary, potentially treatable dementia conditions, while DE included primary degenerative dementia (DD) with ≥1 uncontrolled comorbidity or new disease that worsened symptoms.
Results:
ReDem cases comprised 20.4% (n = 370 out of 1810) of dementia patients, with ReDem patients being younger (mean 56.2 vs. 61.9 years, p < 0.001) and exhibiting shorter illness durations than DD patients (p < 0.001). Key red flags, including young age (<45 years) at onset (DD = 8.6% vs. ReDem = 18.1%), fluctuation in symptoms (DD = 3.4% vs. ReDem = 11.6%), rapid cognitive decline (DD = 6.9% vs. ReDem = 18.4), high-risk exposures (DD = 0.1% vs. ReDem = 0.8%), high-risk behavior (DD = 0.1% vs. ReDem = 2.4%) and incongruent neuropsychological findings(DD = 1.0% vs. 12.7%), were significantly more frequent in ReDem cases (p < 0.05). Odds increased with each red flag present (≥1: OR = 5.94; ≥2: OR = 20.69; ≥3: OR = 25.14, p < 0.05). Reversible etiologies included immune (20.0%), neuroinfectious (6.6%), psychiatric (7.6%), nutritional/metabolic (10.5%), neurosurgical (14.6%) and other causes (12.2%). Of the 41% (152/370) followed, 19 expired, 63.9% (85/133) reported subjective improvement, and 31.6% (42/133) showed clinical dementia rating improvement.
Discussion and Conclusion:
This large-scale study underscores the importance of comprehensive diagnostic evaluations for ReDem. Identifying and treating reversible conditions and comorbidities in DD can improve patient outcomes, emphasizing the need for thorough evaluations in memory clinics and targeted interventions in dementia care.
This study investigates stagnation conditions of the Pensilungpa glacier, western Himalaya. Multiple glacier parameters (length, area, debris extent and thickness, snowline altitude (SLA), velocity, downwasting and ice cliffs) were studied using field measurements (2016–18), high-resolution imagery from GoogleEarth (2013–17) and spaceborne Landsat, ASTER and SRTM data (1993–2017) to comprehend the glacier's current state. Results show a moderate decrease in length (6.62 ± 2.11 m a−1) and area (0.11 ± 0.03% a−1), a marked increase in SLA (~6 m a−1) and debris cover (2.86 ± 0.29% a−1) and a slowdown of ~50% during 1993–2016. Notable thinning of −0.88 ± 0.04 m a−1 was observed between 2000 and 2017 showing a similar trend as field measurements during 2016–17 (−0.88 m) and 2017–18 (−1.54 m). Further, results reveal a stagnation of the lower ablation zone (LAZ). Less mass supply and heterogeneous debris growth (6.67 ± 0.41% a−1) over the previous decade resulted in slowdown, margin insulation and slope-inversion, leading to stagnation. Stagnation of LAZ caused bulging in the dynamic upper ablation zone and favored the development of supraglacial ponds and ice cliffs. Ice cliffs have grown significantly (48% in number; 41% in area during 2013–17) and their back-wasting now dominates the ablation process.
To assess ability of National Early Warning Score 2 (NEWS2), systemic inflammatory response syndrome (SIRS), quick Sequential Organ Failure Assessment (qSOFA), and CRB-65 calculated at the time of intensive care unit (ICU) admission for predicting ICU mortality in patients of laboratory confirmed coronavirus disease 2019 (COVID-19) infection.
Methods:
This prospective data analysis was based on chart reviews for laboratory confirmed COVID-19 patients admitted to ICUs over a 1-mo period. The NEWS2, CRB-65, qSOFA, and SIRS were calculated from the first recorded vital signs upon admission to ICU and assessed for predicting mortality.
Results:
Total of 140 patients aged between 18 and 95 y were included in the analysis of whom majority were >60 y (47.8%), with evidence of pre-existing comorbidities (67.1%). The most common symptom at presentation was dyspnea (86.4%). Based upon the receiver operating characteristics area under the curve (AUC), the best discriminatory power to predict ICU mortality was for the CRB-65 (AUC: 0.720 [95% confidence interval [CI]: 0.630-0.811]) followed closely by NEWS2 (AUC: 0.712 [95% CI: 0.622-0.803]). Additionally, a multivariate Cox regression model showed Glasgow Coma Scale score at time of admission (P < 0.001; adjusted hazard ratio = 0.808 [95% CI: 0.715-0.911]) to be the only significant predictor of ICU mortality.
Conclusions:
CRB-65 and NEWS2 scores assessed at the time of ICU admission offer only a fair discriminatory value for predicting mortality. Further evaluation after adding laboratory markers such as C-reactive protein and D-dimer may yield a more useful prediction model. Much of the earlier data is from developed countries and uses scoring at time of hospital admission. This study was from a developing country, with the scores assessed at time of ICU admission, rather than the emergency department as with existing data from developed countries, for patients with moderate/severe COVID-19 disease. Because the scores showed some utility for predicting ICU mortality even when measured at time of ICU admission, their use in allocation of limited ICU resources in a developing country merits further research.
The number of people over the age of 65 attending Emergency Departments (ED) in the United Kingdom (UK) is increasing. Those who attend with a mental health related problem may be referred to liaison psychiatry for assessment. Improving responsiveness and integration of liaison psychiatry in general hospital settings is a national priority. To do this psychiatry teams must be adequately resourced and organised. However, it is unknown how trends in the number of referrals of older people to liaison psychiatry teams by EDs are changing, making this difficult.
Method
We performed a national multi-centre retrospective service evaluation, analysing existing psychiatry referral data from EDs of people over 65. Sites were selected from a convenience sample of older peoples liaison psychiatry departments. Departments from all regions of the UK were invited to participate via the RCPsych liaison and older peoples faculty email distribution lists. From departments who returned data, we combined the date and described trends in the number and rate of referrals over a 7 year period.
Result
Referral data from up to 28 EDs across England and Scotland over a 7 year period were analysed (n = 18828 referrals). There is a general trend towards increasing numbers of older people referred to liaison psychiatry year on year. Rates rose year on year from 1.4 referrals per 1000 ED attenders (>65 years) in 2011 to 4.5 in 2019 . There is inter and intra site variability in referral numbers per 1000 ED attendances between different departments, ranging from 0.1 - 24.3.
Conclusion
To plan an effective healthcare system we need to understand the population it serves, and have appropriate structures and processes within it. The overarching message of this study is clear; older peoples mental health emergencies presenting in ED are common and appear to be increasingly so. Without appropriate investment either in EDs or community mental health services, this is unlikely to improve.
The data also suggest very variable inter-departmental referral rates. It is not possible to establish why rates from one department to another are so different, or whether outcomes for the population they serve are better or worse. The data does however highlight the importance of asking further questions about why the departments are different, and what impact that has on the patients they serve.
Parents of infants born with critical congenital heart disease are at risk for adverse mental health symptoms. The purpose of this study was to identify infant-, parent-, and environmental-based stressors for mothers and fathers after their infants’ cardiac surgery, and to explore relationships between stressors and mental health symptoms of anxiety and depression.
Methods:
This study enrolled 28 biological mother-father dyads from families admitted to the paediatric cardiac intensive care unit for cardiac surgery at one free-standing children’s hospital in the Northeast. Paired t-tests were used to examine group differences between mothers and fathers on perceived stressors and mental health symptoms, while linear mixed effects modelling was used to explore the predictive relationship between perceived stressors, personal factors, and mental health symptoms.
Results:
Mothers reported higher perceived stressor scores of parental role alteration (t = 4.03, p < 0.01) and infant appearance and behaviour (t = 2.61, p = 0.02), and total perceived stress (t = 2.29 p = 0.03), compared to fathers. Mothers also reported higher anxiety (t = 2.47, p = 0.02) and depressive symptoms (t = 3.25, p < 0.01) than fathers. In multivariable analysis, parental role alteration significantly predicted anxiety (t = 5.20, p < 0.01, d = 0.77) and depressive symptoms (t = 7.09, p < 0.01, d = 1.05) for mothers and fathers. The consensus subscale of the Dyadic Adjustment Scale also significantly predicted depressive symptoms (t = −2.42, p = 0.02, d = 0.04).
Conclusion:
Parents were distressed during their infant’s admission for surgical repair for critical congenital heart disease. Parental role alteration was significantly associated with parental anxiety and depressive symptoms, while poor relationship quality was associated with depressive symptoms, highlighting areas for potential nursing-led psychosocial led interventions.
One of the most challenging problems in biomedicine and genomics is the identification of disease biomarkers. In this study, proteomics data from seven major cancers were used to construct two weighted protein–protein interaction networks, i.e., one for the normal and another for the cancer conditions. We developed rigorous, yet mathematically simple, methodology based on the degeneracy at –1 eigenvalues to identify structural symmetry or motif structures in network. Utilizing eigenvectors corresponding to degenerate eigenvalues in the weighted adjacency matrix, we identified structural symmetry in underlying weighted protein–protein interaction networks constructed using seven cancer data. Functional assessment of proteins forming these structural symmetry exhibited the property of cancer hallmarks. Survival analysis refined further this protein list proposing BMI, MAPK11, DDIT4, CDKN2A, and FYN as putative multicancer biomarkers. The combined framework of networks and spectral graph theory developed here can be applied to identify symmetrical patterns in other disease networks to predict proteins as potential disease biomarkers.
Prenatal diagnosis and planned peri-partum care is an unexplored concept for care of neonates with critical CHDs in low-middle-income countries.
Objective:
To report the impact of prenatal diagnosis on pre-operative status in neonates with critical CHD.
Methods:
Prospective observational study (January 2017–June 2018) in tertiary paediatric cardiac facility in Kerala, India. Neonates (<28 days) with critical CHDs needing cardiac interventions were included. Pre-term infants (<35 weeks) and those without intention to treat were excluded. Patients were grouped into those with prenatal diagnosis and diagnosis after birth. Main outcome measure was pre-operative clinical status.
Results:
Total 119 neonates included; 39 (32.8%) had prenatal diagnosis. Eighty infants (67%) underwent surgery while 32 (27%) needed catheter-based interventions. Pre-operative status was significantly better in prenatal group; California modification of transport risk index of physiological stability (Ca-TRIPS) score: median 6 (0–42) versus 8 (0–64); p < 0.001; pre-operative assessment of cardiac and haemodynamic status (PRACHS) score: median 1 (0–4) versus 3 (0–10), p < 0.001. Age at cardiac procedure was earlier in prenatal group (median 5 (1–26) versus 7 (1–43) days; p = 0.02). Mortality occurred in 12 patients (10%), with 3 post-operative deaths (2.5%). Pre-operative mortality was higher in postnatal group (10% versus 2.6%; p = 0.2) of which seven (6%) died due to suboptimal pre-operative status precluding surgery.
Conclusion:
Prenatal diagnosis and planned peri-partum care had a significant impact on the pre-operative status in neonates with critical CHD in a low-resource setting.
A single-layer coaxial-fed compact rectangular microstrip antenna with very low voltage standing wave ratio (VSWR) is presented in this paper. The simulated VSWR of the proposed antenna 1.00374 is obtained near the center frequency of the operating band (3.5 GHz). Simulation and measurement results indicate that the bandwidth (simulated: 3.36–3.715 GHz, and measured: 3.295–3.645 GHz) of the antenna exceeds 10% below VSWR 2, when the size reduction of the antenna is about 81.6%. The realized peak gain is obtained about 2.15 dBi at 3.5 GHz. For the verification of the computational results, two designs were fabricated and measured. Good agreements between simulated and measured results were found.
The purpose of this study was to determine the dwell position of a high-dose-rate (HDR) brachytherapy Ir-192 source using a PTW Seven29 2D detector array. A Nucletron Microselectron HDR device and 2D array ionisation chamber, equipped with 729 ionisation chambers uniformly arranged in a 27×27 matrix with an active array area of 27×27 cm2, were used for this study. Different dwell positions were assigned in the HDR machine. Rigid interstitial needles and a vaginal applicator were positioned on the 2D array, which was then exposed according to the programmed dwell positions. Subsequently, the positional accuracy of the source position was analysed. This process was repeated for different dwell positions. The results were analysed using an in-house-developed Excel programme. Different random dwell position checks as well as dwell position measurements were performed using a radiochromic film. The dwell positions measured by the 2D array were found to be in good agreement with those measured by the film. The standard deviations between the doses obtained from the different dwell positions were 0·191828, 0·329973, 0·370632 and 0·779939, whereas the corresponding standard deviations of the doses at the vaginal cylinder were 0·60303, 0·242808, 0·242808 and 0·065309. When the planned and measured dwell positions were plotted, a linear relationship was obtained.
The purpose of this work was to study the dosimetric properties of the enhanced dynamic wedge using a Seven29 ion chamber array. The PTW Seven29 ion chamber array and solid water phantoms were used for the study. Primarily, the solid water phantoms with the two-dimensional (2D) array were scanned using a computed tomography scanner at different depths. Using these scanned images, planning was performed for different wedge angles at 6 and 15 MV. A dose of 100 CGy was delivered in each case. For each delivery, the required monitoring units (MUs) were calculated. Using the same setup with a Varian Clinac iX, the calculated MU was delivered for different wedge angles. Subsequently, the different wedged dose distributions that had been obtained were analysed using Verisoft software. A shoulder-like region was observed in the profile; this region reduced as depth increased. The percentage deviation between the planned and measured doses at the shoulder region fell within the range of 0·9–4·3%. The standard deviation between planned and measured doses at shoulder region in the profile fell within 0·08±0·02 at different depths. The standard deviations between planned and measured wedge factors for different depths (2·5, 5, 10 and 15 cm) were 0·0021, 0·0007, 0·0050 and 0·0001 for 6 MV and 0·0024, 0·0191, 0·0013 and 0·0005 for 15 MV, respectively. On the basis of the studies that we performed, it can be concluded that the 2D ion chamber array is a good tool for enhanced dynamic wedge dosimetry.