Search Results (47)

Early rehabilitation is essential for restoring functional recovery in patients with stroke, particularly during the early phase of post-acute care (PAC), or the subacute stage. We aimed to evaluate the effectiveness of a 7-week PAC rehabilitation program in improving muscle strength, physical performance, and functional recovery. A total of 219 inpatients with stroke in the subacute stage were initially recruited from the PAC ward of a regional teaching hospital in Northern Taiwan, with 79 eligible patients—within 1 month of an acute stroke—included in the analysis. The program was delivered 5 days per week, with 3–4 sessions daily (20–30 min each, up to 120 min daily), comprising physical, occupational, and speech–language therapies. Sociodemographic data, muscle strength, physical performance (Berg Balance Scale [BBS], gait speed, and 6-minute walk test [6MWT]), and functional recovery (modified Rankin Scale [mRS], Barthel Index [BI], Instrumental Activities of Daily Living [IADL], and Fugl–Meyer assessment: sensory and upper extremity) were collected at baseline, 3 weeks, and 7 weeks. Generalized estimating equations analyzed program effectiveness. Among the 56 patients (70.9%) who completed the program, significant improvements were observed in the muscle strength of both the affected upper (B = 0.93, p < 0.001) and lower limbs (B = 0.88, p < 0.001), as well as in their corresponding unaffected limbs; in physical performance, including balance (BBS score: B = 9.70, p = 0.003) and gait speed (B = 0.23, p = 0.024); and in functional recovery, including BI (B = 19.5, p < 0.001), IADL (B = 1.48, p < 0.001), and mRS (B = −0.13, p = 0.028). These findings highlight the 7-week PAC rehabilitation program as an effective strategy during the critical recovery phase for patients with stroke. Full article

Precisely predicting photovoltaic (PV) output is crucial for reliable grid integration; so far, most models rely on site-specific sensor data or treat large meteorological datasets as black boxes. This study proposes an explainable machine-learning framework that simultaneously ranks the most informative weather parameters and reveals their physical relevance to PV generation. Starting from 27 local and plant-level variables recorded at 15 min resolution for a 1 MW array in Çanakkale region, Türkiye (1 August 2022–3 August 2024), we apply a three-stage feature-selection pipeline: (i) variance filtering, (ii) hierarchical correlation clustering with Ward linkage, and (iii) a meta-heuristic optimizer that maximizes a neural-network R² while penalizing poor or redundant inputs. The resulting subset, dominated by apparent temperature and diffuse, direct, global-tilted, and terrestrial irradiance, reduces dimensionality without significantly degrading accuracy. Feature importance is then quantified through two complementary aspects: (a) tree-based permutation scores extracted from a set of ensemble models and (b) information gain computed over random feature combinations. Both views converge on shortwave, direct, and global-tilted irradiance as the primary drivers of active power. Using only the selected features, the best model attains an average R² ≅ 0.91 on unseen data. By utilizing transparent feature-reduction techniques and explainable importance metrics, the proposed approach delivers compact, more generalized, and reliable PV forecasts that generalize to sites lacking embedded sensor networks, and it provides actionable insights for plant siting, sensor prioritization, and grid-operation strategies. Full article

Recent advances in Artificial Intelligence (AI)-driven wireless communication are driving the adoption of Sixth Generation (6G) technologies in crucial environments such as hospitals. Visible Light Communication (VLC) leverages existing lighting infrastructure to deliver high data rates while mitigating electromagnetic interference (EMI); however, patient movement induces fluctuating signal strength and dynamic channel conditions. In this paper, we present a novel integration of site-specific ray tracing and machine learning (ML) for VLC-enabled Medical Body Sensor Networks (MBSNs) channel modeling in distinct hospital settings. First, we introduce a Q-learning-based adaptive modulation scheme that meets target symbol error rates (SERs) in real time without prior environmental information. Second, we develop a Long Short-Term Memory (LSTM)-based estimator for path loss and Root Mean Square (RMS) delay spread under dynamic hospital conditions. To our knowledge, this is the first study combining ray-traced channel impulse response modeling (CIR) with ML techniques in hospital scenarios. The simulation results demonstrate that the Q-learning method consistently achieves SERs with a spectral efficiency (SE) lower than optimal near the threshold. Furthermore, LSTM estimation shows that D1 has the highest Root Mean Square Error (RMSE) for path loss (1.6797 dB) and RMS delay spread (1.0567 ns) in the Intensive Care Unit (ICU) ward, whereas D3 exhibits the highest RMSE for path loss (1.0652 dB) and RMS delay spread (0.7657 ns) in the Family-Type Patient Rooms (FTPRs) scenario, demonstrating high estimation accuracy under realistic conditions. Full article

Background/Objectives: Healthcare-associated infections (HAIs), including sepsis, represent a major challenge in clinical practice owing to their impact on patient outcomes and healthcare systems. Large language models (LLMs) offer a potential solution by analyzing clinical documentation and providing guideline-based recommendations for infection management. This study aimed to evaluate the performance of LLMs in extracting and assessing clinical data for appropriateness in infection prevention and management practices of patients admitted to an infectious disease ward. Methods: This retrospective proof-of-concept study analyzed the clinical documentation of seven patients diagnosed with sepsis and admitted to the Infectious Disease Unit of San Bortolo Hospital, ULSS 8, in the Veneto region (Italy). The following five domains were assessed: antibiotic therapy, isolation measures, urinary catheter management, infusion line management, and pressure ulcer care. The records, written in Italian, were anonymized and paired with international guidelines to evaluate the ability of LLMs (ChatGPT-4o) to extract relevant data and determine appropriateness. Results: The model demonstrated strengths in antibiotic therapy, urinary catheter management, the accurate identification of indications, de-escalation timing, and removal protocols. However, errors occurred in isolation measures, with incorrect recommendations for contact precautions, and in pressure ulcer management, where non-existent lesions were identified. Conclusions: The findings underscore the potential of LLMs not merely as computational tools but also as valuable allies in advancing evidence-based practice and supporting healthcare professionals in delivering high-quality care. Full article

Background: The primary role of a pulmonary embolism response team (PERT) is to support decision-making processes regarding acute pulmonary embolism (PE) patients and provide advanced rescue therapies when needed. Despite a great need for its availability among physicians, PERT’s usefulness is yet to be proven. Objectives: Our goal was to establish whether patients benefit from qualification by PERT for admission to a tertiary cardiology ward. Methods: Data of all patients hospitalized due to PE for 12 months (July 2023–June 2024) were retrospectively analyzed. We aimed to compare patients admitted primarily via the emergency department with those consulted by PERT and eventually transferred from other hospitals. The primary outcome was the use of advanced therapies. Results: We identified 167 patients (50.3% women) hospitalized with PE. Out of them, 102 (61.1%) came from the emergency department, while 65 (38.9%) patients were transferred after PERT consultation. The transferred patients generally had more severe conditions, as indicated by the ESC death risk group classification (intermediate-high and high risk, OR 19.2, 95% CI 8.3–44.2). They were more often qualified for at least one of the advanced therapies than the emergency department patients (OR 23.2, 95% CI 9.3–58.1). We found no significant differences in in-hospital mortality (6.9% versus 1.5%, OR 4.7, 95% CI 0.6–39.3). Conclusions: Establishing PERT as a reference unit providing advanced treatment resulted in successfully delivering more complex treatment to severely ill PE patients. Despite their unfavorable basic characteristics, neither length of hospitalization nor in-hospital mortality seem to differ when compared to unselected, less compromised cases. Full article

Background/Objectives: Conventional oxygen therapy (COT) is the cornerstone of management for hypoxaemia associated with acute respiratory failure (ARF) in wards. COT implementation guidance is provided in local health guidance documents (LHGDs). This study aimed to identify ward-delivered adult COT implementation LHGDs in Australian health services and assess their content and accuracy. Methods: A scoping review was conducted on 1 May 2022 and updated on 19 December 2023 to identify public health services COT LHGDs. Data were extracted and analysed regarding COT initiation, monitoring, maintenance and weaning, and management of clinical deterioration. Results: Thirty-seven included LHGDs, and eleven referenced the Australian COT guidelines. A definition in the LHGDs for hypoxaemia is that any oxygen saturation (SpO₂) or arterial blood gas (ABG) is rare. None required ABG prior to COT initiation. Twenty-nine provided target SpO₂ aims for initiation and maintenance. Fifteen did not specify the criteria for clinical review. Nine LHGDs provided guidance on weaning. Conclusions: There was considerable variation in the structure and content of COT LHGDs in Australian health services. Variations and limited guideline concordance of LHGDs may impact the quality and safety of health care. Considerations for future research include the development and implementation of standardised core LHGD recommendations for COT, as well as conducting a national oxygen audit to better measure and benchmark the safety and quality of care. Full article

Background: Congenital malignancies are unusual fetal conditions, and therefore, the data on their prenatal manifestation are limited. Transient abnormal myelopoiesis (TAM) is a hematologic disorder characteristic for babies with trisomy 21 and based on the transient appearance of blast cells in peripheral blood. Methods: This paper presents prenatal manifestation of congenital TAM in a newborn with normal karyotype and reviews the literature on prenatal manifestation of this disorder. Results: A pregnant woman in her third pregnancy referred herself to the hospital for reduced fetal movements at 30 weeks of gestation. Admission’s ultrasound scan showed an increased middle cerebral artery peak systolic velocity together with hepatomegaly. The patient was admitted to the labor ward for cardiotocography monitoring which showed acute fetal distress with repeated unprovoked decelerations. An emergency cesarean section was conducted and a phenotypically normal female newborn with low Apgar score was delivered. Further examination of the peripheral blood revealed anemia and leukocytosis with high blast proportion. A bone marrow aspirate revealed 70.2% of blasts in a sample with an abnormal karyotype of 47 XX+21. Cytogenetic analysis of the blasts with later microarray comparative genomic hybridization confirmed the presence of GATA1 mutation. However, the buccal smear showed a normal karyotype in the infant. The disease was classified as TAM. Conclusions: Our study demonstrates a rare case of prenatal manifestation of TAM in a neonate with a normal karyotype. Obstetricians should pay attention to symptoms like high MCA PSV and hepatosplenomegaly as possible causes of fetal hematological disorders and differentiate it with infection or isoimmunization. Full article

Postpartum hypertension (PPHT) is hypertension that persists or develops after delivery and is a frequent cause of readmission, affecting 10% of pregnancies. This interim analysis aims to describe the cohort and to determine the feasibility and acceptance of a home-based telemonitoring management strategy (HBTMS) in PPHT patients. Enrollment at the University Hospital Basel began during the 2020 SARS-CoV-2 pandemic. Maternity-ward patients were screened for preexisting hypertension, hypertensive disorders of pregnancy, and de novo PPHT. In this pragmatic non-randomized prospective trial, the participants chose the HBTMS or standard of care (SOC), which consisted of outpatient hypertension clinic appointments. The HBTMS was a smartphone application or a programmed spreadsheet to report blood pressure (BP), followed by telephone consultations. Three months postpartum, the participants underwent a 24 h BP measurement and a blood, biomarker, and urine analysis. A total of 311 participants were enrolled between 06/20 and 08/23. The mean age was 34 (±5.3) years. The current pregnancy history demonstrated the following (≥1 diagnosis possible): 10% had preexisting hypertension, 27.3% gestational hypertension, 53% preeclampsia (PE), 0.3% eclampsia, 6% HELLP (hemolysis, elevated liver enzymes, and low platelets), and 18.3% de novo PPHT. A family history of cardiovascular disease and PE was reported in 49.5% and 7.5%, respectively. In total, 23.3% were high-risk for PE. A total of 68.5% delivered via c-section, the mean hospitalization was 6.3 days (±3.9), and newborn intrauterine growth restriction occurred in 21%. A total of 99% of the participants chose the HBTMS. This analysis demonstrated that the HBTMS was accepted. This is vital in the immediate postpartum period and pertinent when the exposure of hospital visits should be avoided. Full article

Due to a higher risk of maternal complications during pregnancy, as well as pregnancy complications such as stillbirth, SARS-CoV-2 contamination during pregnancy is a putative stress factor that could increase the risk of perinatal maternal mental health issues. We included women older than 18 years, who delivered a living baby at the Geneva University Hospitals’ maternity wards after 29 weeks of amenorrhea (w.a.) and excluded women who did not read or speak fluent French. We compared women who declared having had COVID-19, confirmed by a positive PCR test for SARS-CoV-2, during pregnancy with women who did not, both at delivery and at one month postpartum. We collected clinical data by auto-questionnaires between time of childbirth and the third day postpartum regarding the occurrence of perinatal depression, peritraumatic dissociation, and peritraumatic distress during childbirth, measured, respectively, by the EPDS (depression is score > 11), PDI (peritraumatic distress is score > 15), and PDEQ (scales). At one month postpartum, we compared the proportion of women with a diagnosis of postpartum depression (PPD) and birth-related posttraumatic stress disorder (CB-PTSD), using PCL-5 for CB-PTSD and using diagnosis criteria according DSM-5 for both PPD and CB-PTSD, in the context of a semi-structured interview, conducted by a clinician psychologist. Off the 257 women included, who delivered at the University Hospitals of Geneva between 25 January 2021 and 10 March 2022, 41 (16.1%) declared they had a positive PCR test for SARS-CoV-2 during their pregnancy. Regarding mental outcomes, except birth-related PTSD, all scores provided higher mean values in the group of women who declared having been infected by SARS-CoV-2, at delivery and at one month postpartum, without reaching any statistical significance: respectively, 7.8 (±5.2, 8:4–10.5) versus 6.5 (±4.7, 6:3–9), p = 0.139 ***, for continuous EPDS scores; 10 (25.0) versus 45 (21.1), p = 0.586 *, for dichotomous EPDS scores (≥11); 118 (55.7) versus 26 (63.4), p = 0.359 *, for continuous PDI scores; 18.3 (±6.8, 16:14–21) versus 21.1 (±10.7, 17:15–22), 0.231 ***, for dichotomous PDI scores (≥15); 14.7 (±5.9, 13:10–16) versus 15.7 (±7.1, 14:10–18), p = 0.636 ***, for continuous PDEQ scores; 64 (30.0) versus 17 (41.5), p = 0.151 *, for dichotomous PDEQ scores (≥15); and 2 (8.0) versus 5 (3.6), p = 0.289 *, for postpartum depression diagnosis, according DSM-5. We performed Chi-squared or Fisher’s exact tests, depending on applicability for the comparison of categorical variables and Mann–Whitney nonparametric tests for continuous variables; p < 0.05 was considered as statistically significant. Surprisingly, we did not find more birth-related PTSD as noted by the PCL-5 score at one month postpartum in women who declared a positive PCR test for SARS-CoV-2:15 (10.6) versus no case of birth related PTSD in women who were infected during pregnancy (p = 0.131 *). Our study showed that mental outcomes were differently distributed between women who declared having been infected by SARS-CoV-2 compared to women who were not infected. However, our study was underpowered to explore all the factors associated with psychiatric issues during pregnancy, postpartum, depending on the exposure to SARS-CoV-2 infection during pregnancy. Future longitudinal studies on bigger samples and more diverse populations over a longer period are needed to explore the long-term psychic impact on women who had COVID-19 during pregnancy. Full article

(1) Background: Older patients frequently require dosing aids, such as multi-dose medication dispensing (MMD) when they experience medication regimen complexity (MRC) with increased drug use. However, the evaluations of the efficacy of MMD alterations remain limited. (2) Methods: A total of 1120 patients were included in the study who were discharged from hospital during the study period of January to March 2019. The Medication Regimen Complexity Index (MRCI) score, a validated 65-item tool in Korea (MRCI-K), was used to quantify MRC. The original MRCI-K scores, representing the typical administration based on prescription information, were compared to recalculated MRCI-K scores measured following MMD during the hospital dispensing period. Differences in MRCI-K across the top four wards based on the numbers of discharge prescription medications were assessed, and the overall scores were categorized into quartiles to identify MMD’s impact within each group. We confirmed the effect of MMD based on the patient’s admission diagnosis depending on MRCI. (3) Results: The mean (standard deviation) of original MRCI scores was 26.2 (13.4), which decreased to 18.9 (8.8) after applying MMD. The decrease in MRCI scores after MMD was statistically significant in all four wards, with the Orthopedic Surgery ward showing the biggest decrease. The patients with MRCI scores in the highest quartile group demonstrated the greatest improvement as a result of the implementation of MMD. Respiratory diseases exhibited the highest baseline MRCI scores due to formulation complexity, and ear, nose, and throat patients demonstrated the most significant reduction in MRC after MMD, depending on the diagnostic criteria at administration. (4) Conclusions: We confirmed the reduction in MRC after applying MMD, as a significant decrease in MRCI-K scores. This study highlights the need to deliver effective pharmacist-led services to identify patients who would benefit from MMD. Full article

Background and Objectives: The distance to cancer facilities may cause disparities by creating barriers to oncologic diagnosis and treatment, and travel burden may cause time and financial toxicity. Materials and Methods: To relieve travel burden, a program to deliver oncologic treatment closer to the patient was initiated in the district of Piacenza (Northern Italy) several years ago. The oncologic activities are performed by oncologists and by nurses who travel from the oncologic ward of the city hospital to territorial centres to provide cancer patient management. This model is called Territorial Oncology Care (TOC): patients are managed near their home, in three territorial hospitals and in a health centre, named “Casa della Salute” (CDS). A retrospective study was performed and the records of patients with cancer managed in the TOC program were analysed. The primary endpoints were the km and time saved, the secondary endpoints: reduction of caregiver need for transport and patient satisfaction. Results: 546 cancer patients managed in the TOC program from 2 January 2021 to 30 June 2022 were included in this study. Primary endpoints: median km to reach the city hospital: 26 (range 11–79 km) median time: 44 min (range 32–116); median km to reach the territorial clinicians in the TOC program: 7 (range 1–35 km), median time: 16 minutes (range 6–54), p < 0.001. Secondary endpoints: 64.8% of patients who needed a caregiver for the city hospital could travel alone in the TOC program and 99.63% of patients were satisfied. Conclusions: The results of this retrospective study highlight the possibility of treating cancer patients near their residence, reducing travel burden and saving time. Full article

In light of the 2020–2021 flood season in Guangdong, we conducted a comprehensive assessment of short-term precipitation forecasts generated by the ensemble prediction system (EPS) based on the China Meteorological Administration Tropical Regional Atmosphere Model for the South China Sea (CMA-TRAMS). Furthermore, we applied four distinct strategies to cluster the ensemble forecast data produced by the model for precipitation, aiming to enhance our understanding of their applicability in short-term precipitation forecasting for Guangdong. Our key findings were as follows.: Precipitation during the 2020–2021 flood season in Guangdong exhibited distinct characteristics. The impacting areas of frontal and subtropical high-edge rainfall were relatively scattered, predominantly occurring in the evening and nighttime. In contrast, monsoon precipitation and return-flow precipitation were concentrated, with their impacts lasting from early morning to evening. Notably, the errors using the ensemble maximum and minimum values were large, while the errors for the ensemble mean values and medians were small. This indicated that the model’s short-term precipitation forecasts possessed a high degree of stability. The vertical shear of different types of precipitation exerted a noticeable influence on the model’s performance. The model consistently displayed a tendency to underestimate short-term precipitation in Guangdong; however, this bias decreased with longer lead times. Simultaneously, the model’s dispersion increased with longer lead times. In terms of mean absolute error (MAE) test results, there was little difference in the performance of ensemble primary forecasts under various strategies, while the “ward” strategy performed well in sub-primary cluster forecasts. This was particularly true for areas and types of precipitation where the model’s performance was poor. While the clustering approach lagged behind ensemble mean forecasts in predicting rainy conditions, it exhibited improvement in forecasting short-term heavy rainfall events. The “complete” and “single” strategies consistently delivered the most accurate forecasts for such events. Our study sheds light on the effectiveness of clustering methods in improving short-term precipitation forecasts for Guangdong, particularly in regions and conditions where the model initially struggled. These findings contribute to our understanding of precipitation forecasting during flood seasons and can inform strategies for enhancing forecast accuracy in similar contexts. Full article

It is not unusual for a place to wait for years before being inscribed on the World Heritage List, but Sarnath—the place where the Buddha delivered his first sermon—has been on UNESCO’s “tentative list” for close to 25 years. As a sacred place for Buddhist pilgrimages, Sarnath continues to attract thousands of visitors annually and yet, remains under-developed, unlike other pilgrim towns or religious tourism destinations. This paper examines the reasons for the stunted growth of Sarnath. The findings are based on fieldwork conducted in Sarnath in 2019. The analysis of stakeholder interviews suggests several reasons for Sarnath not being able to capitalize on its religious and cultural heritage for tourism-led development. It was found that the protection of the site as an archaeological park by the Archaeological Survey of India (ASI), which has been controlling development surrounding the park as well as prohibiting the performance of any rituals, have been the key endogenous factors that have contributed to the relative under-development of a Buddhist pilgrimage economy in the town. A handful of monasteries are where Buddhist followers stay and perform their pilgrimage rituals, rendering them as enclaves. Private-sector accommodation is also limited to around 15 hotels and guesthouses. Administratively, Sarnath does not have an independent governance structure. It is governed as just one ward (an electoral constituency) by the Municipal Corporation of Varanasi and is, thus, always under the shadow of Varanasi city. Varanasi is one of the most significant Hindu sacred cities and, hence, visitors stay there for much longer durations to soak in cultural offerings, including religious ceremonies around the Ganga River; a visit to Sarnath is secondary and often limited to a half-day tour. Moreover, the archaeological park at Sarnath serves a recreational purpose as a picnic site for domestic visitors. The exogenous factors mean that the interests of Sarnath (as a Buddhist site) are hardly acknowledged by the Hindu city of Varanasi. This paper argues that the multi-layered contestations that exist at the site level, the town–ward level, and between visitors and managers have further contributed to the poor state of heritage and tourism in Sarnath. Full article

Background: Maternal influenza vaccination provides effective protection against influenza infections in pregnant women and their newborns. In India, the influenza vaccine has not yet been offered through immunization programs, owing to the lack of sufficient safety data for pregnant Indian women. Methods: This cross-sectional observational study enrolled 558 women admitted to the obstetrics ward of a civic hospital in Pune. Study-related information was obtained from the participants through hospital records and interviews using structured questionnaires. Univariate and multivariable analysis was used, and the chi-square test with adjusted odds ratio was estimated to account for vaccine exposure and the temporal nature of each outcome, respectively. Results: Women not vaccinated against influenza during pregnancy had a higher risk of delivering very LBW infants, and possible protective effects were suggested (AOR 2.29, 95% CI 1.03 to 5.58, p = 0.03). No association was observed between maternal influenza vaccination for Caesarean section (LSCS) (AOR 0.97, 95% CI, 0.78, 1.85), stillbirth (AOR 1.8, 95% CI 0.18, 24.64) and NICU admission (AOR, 0.87, 0.29 to 2.85), and congenital anomaly (AOR, 0.81, 0.10 to 3.87). Interpretation: These results show that the influenza vaccine administered during pregnancy is safe and might lower the risk of negative birth outcomes. Full article

Background: This study aims to evaluate medication dispensing by pharmacy technicians at a geriatric inpatient ward at a Danish hospital. Methods: Four pharmacy technicians were trained in delivering a dispensing service at a geriatric ward. At baseline, the ward nurses recorded the time spent dispensing the medication and the number of interruptions. Similar recordings were completed twice during the period in which the pharmacy technicians delivered the dispensing service. Satisfaction among the ward staff with the dispensing service was assessed by a questionnaire. Reported medication errors were collected during the dispensing service period and compared to a similar time period during the previous two years. Results: The time spent on dispensing medications was on average reduced with 1.4 h per day ranging from 4.7 to 3.3 h per day when the pharmacy technicians performed the service. Interruptions during the dispensing process decreased from a daily average of more than 19 times to an average of 2–3 per day. The nursing staff reported positive feedback on the medication dispensing service provided, especially about easing their workload. There was a tendency toward decreased reporting of medication errors. Conclusion: The medication dispensing service performed by the pharmacy technicians reduced time spent on dispensing medication and increased patient safety by reducing interruptions during the process and decreasing the number of medication errors reported. Full article