A Presentation of Meige Syndrome With Associated Upper Motor Neuron Symptoms.

Meige syndrome (MS) is a cranial dystonia that involves blepharospasm and oromandibular dystonia. It can also evolve to include other adjacent muscle groups in the cervical region. It typically presents in middle-aged females, and while the disorder is relatively uncommon, its exact prevalence varies. Diagnosis is typically made with a thorough history and physical and workup to rule out other causes. Treatment options include medical management with gamma-aminobutyric acid (GABA) antagonists, dopamine antagonists, and anticholinergics for short-term management. Long-term treatment options are Botox and deep brain stimulation. This case report presents a 56-year-old female with a complex presentation of MS; the patient's symptoms progressed from isolated blepharospasms to involve orofacial and cervical musculature. A distinctive aspect of this case was the simultaneous presence of upper motor neuron (UMN) signs in the patient alongside acute to subacute compression fractures of the superior endplate of C7 and T3, as revealed by cervical spine imaging. Treatment with clonazepam led to significant symptomatic improvement, highlighting the importance of a multimodal approach in managing MS. This case underscores the need for careful clinical evaluation, collaboration with movement disorder specialists, and ongoing research efforts to enhance understanding and treatment of MS.

Developmental outcomes of children born through ICSI versus conventional IVF (cIVF) in couples with non-male factor infertility.

STUDY QUESTION: In non-male factor infertile couples, are there any differences in the developmental outcomes between children born through ICSI and conventional IVF (cIVF)? SUMMARY ANSWER: In this preliminary study, ICSI and cIVF seem to have a comparable effect on developmental outcomes after 12 months in children born to non-male factor infertile couples. WHAT IS KNOWN ALREADY: ICSI, an invasive technique, has raised concerns about potential developmental abnormalities in children. Limited data are available regarding the developmental outcomes of ICSI-conceived infants born to non-male factor infertile couples. STUDY DESIGN, SIZE, DURATION: This prospective cohort study involved a follow-up of all children aged 12 months or older who were born from pregnancies resulting from either ICSI or cIVF as part of a previous randomized controlled trial (RCT) (NCT03428919). PARTICIPANTS/MATERIALS, SETTING, METHODS: In the original RCT, 1064 women were randomly assigned to the ICSI or cIVF groups (532 women for each group). Follow-up was conducted with 155 couples (195 children) in the ICSI group and 141 couples (185 children) in the cIVF group. The Vietnamese version of the Ages & Stages Third Edition Questionnaires (ASQ-3) and the Development Red Flags questionnaires were completed by the participants. A total of 141 (90.1%) women (177 children) in the ICSI group and 113 (80.1%) women (145 children) in the cIVF group returned fully completed questionnaires. The primary outcomes were the developmental outcomes based on responses to the ASQ-3 and the Red Flags questionnaire. MAIN RESULTS AND THE ROLE OF CHANCE: The mean age of children at follow-up was 19.5 ± 5.0 months in the ICSI group and 19.3 ± 5.5 months in the cIVF group. The mean height and weight of children in both groups were similar. The overall proportion of children with any abnormal ASQ-3 score did not differ significantly between the ICSI and cIVF groups (16.9% vs 13.1%, P = 0.34). The proportion of children with Red Flag signs was also comparable between the two groups (6.2% vs 9.2%, P = 0.36, ICSI vs cIVF, respectively). LIMITATIONS, REASONS FOR CAUTION: Despite a reasonably high follow-up response rate, there is a potential risk of sampling bias, and overall, the number of children with developmental abnormalities was very small. The study relied solely on questionnaires as screening tools, rather than incorporating additional behavioral observations or physical developmental tests; this may have affected the statistical power and the significance of between-group comparisons. WIDER IMPLICATIONS OF THE FINDINGS: The current findings contribute to the existing evidence and support the comparative safety of ICSI and cIVF regarding early childhood development. However, more extensive and prolonged follow-up data for these children are needed to draw definitive conclusions. STUDY FUNDING/COMPETING INTEREST(S): No external funding was received for this study, and no authors reported conflicting interests. TRIAL REGISTRATION NUMBER: NCT04866524 (clinicaltrials.gov).

Audiovisual presentation of variable message signs improves message processing in distracted drivers during partially automated driving.

INTRODUCTION: Highly automated driving is expected to reduce the accident risk occurrence by human errors, but it can also increase driver distraction. Previous evidence shows that auditory signals can help drivers take over in critical situations. However, it is still uncertain whether the potential benefit of verbal auditory signals could be generalized to driving situations where drivers are visually and auditorily distracted. METHOD: Our first objective was to compare the effectiveness of complementary audio messages (audio + visual condition) and visual only (visual condition) variable message signs (VMS) messages. The second objective was to explore the potential use of oral messages with traffic information to help highly-automated vehicle drivers identify critical situations. Eye-tracking data were also registered. Twenty-four volunteers participated in a driving simulator study, completing two tasks: (a) a TV series task, where they had to pay attention to an episode of a TV series while traveling along the route; and (b) a VMS task, where they had to recover the manual control of the car if the VMS message was a 'critical message.' RESULTS: General results showed that, when the audio was available, the participants: (a) had a higher ability to discriminate the VMS messages, (b) were less conservative, (c) responded earlier, and (d) their pattern of fixations was more efficient. A complementary analysis showed that the counterbalance order was a moderating factor for the discrimination ability and the response distance measures. This evidence suggests a potential learning effect, not cancelled by counterbalancing the order of the conditions. CONCLUSION: The processing of traffic messages may improve when provided as oral and visual messages. PRACTICAL APPLICATIONS: These results would be of special interest for engineers designing highly automated cars, considering that the design of automated systems must ensure that the driver's attention is sufficient to take over control.

A case of hemorrhage at the junctions of the posterior intercostal arteries-a vital sign?

The authors present the case of a 58-year-old man found hanging from a radiator by his shoelaces. The time of death was approximately 6 h before the body was discovered. An autopsy was performed approximately 24 h after the body was found, which revealed hemorrhages in the thoracic aorta at the junctions of the posterior intercostal arteries. Before autopsy, a routine whole-body CT scan was performed. Histologic examination of the aorta and the posterior intercostal arteries revealed a fresh hemorrhage into the tunica adventitia of the aorta. To our knowledge, there is no case description of such findings in hanged persons in the literature. Conclusion: Hemorrhages into the tunica adventitia of the junction of the posterior costal arteries may occur in association with suicidal hanging. The significance of these hemorrhages as a sign of vitality may be debated.

A study on the visual recognition patterns of multi-information guide signs based on eye movement data analysis.

A two-factor experiment was devised to assess the appropriateness of the quantity and arrangement of information on multi-information guide signs at unique, spacious exits on elevated expressway sections. This experiment investigated 77 signs containing varying amounts of road name information and different placements of destination road names. The research entailed an indoor experiment that incorporated eye-tracking technology and involved the analysis of a total of twenty-eight indicators. A comprehensive index system was developed, identifying three key aspects: visual recognition efficiency, visual recognition difficulty, and visual fatigue. Utilizing repeated measure analysis of variances, the impact of these two factors was examined to identify significant indicators and establish a comprehensive assessment indicator system. The Technique for Order of Preference by Similarity to Ideal Solution method, in conjunction with the coefficient of entropy weight, was employed to assess the effectiveness of these two factors. The findings demonstrated that the 28 eye-movement indicators utilized in this study effectively constitute a valuable indicator system for evaluating drivers' visual recognition characteristics. These indicators capture the subtle psychophysical traits inherent in the process of recognizing signs, including visual recognition efficiency, difficulty, and fatigue. Regarding the first experimental factor, the number of sign road names significantly influences drivers' visual recognition characteristics (Sig < 0.05). Specifically, an increase in the number of sign road names leads to diminished visual recognition efficiency and heightened visual recognition difficulty and fatigue. Consequently, it is advisable to restrict the number of sign road names to a maximum of six per sign under typical circumstances, with nine being the limit under special conditions. As for the second experimental factor, the placement of the destination road name within the sign layout exerts a significant impact on visual recognition characteristics (Sig < 0.05). Each type of multi-information sign exhibits a distinct visual recognition pattern. Generally, the upper portion of the sign is more easily recognized, while the lower part poses greater recognition challenges. Therefore, to mitigate visual recognition risks, it is recommended that road information placement be prioritized based on actual usage conditions.

Pain, symptoms and therapy satisfaction in adult oncologic patients at admission to palliative care: An Italian prospective, multicenter, observational study.

BACKGROUND: Pain in cancer patients is a complex clinical problem. Pain is systematically assessed and treated during palliative care, but little is known about how it is addressed before starting palliative care. AIM: This study primarily analyzed pain, symptoms, ongoing therapy at patients' admittance to the palliative care unit, and the relationships between pain and tumor, comorbidities, performance status and quality of life (QoL). Notably, patient satisfaction with the received antalgic therapy was assessed. METHODS: A multicentric, prospective, observational study was conducted in seven Italian palliative centers. The population consisted of adult cancer patients admitted to specialist palliative care units in hospice and home care. RESULTS: The sample consisted of 476 patients. Ninety-three patients reported moderate pain of 4.0 and worst pain of 5.9 at the initial medical examination. The pain was high, and QoL was lower in breakthrough pain. The pain was lower in older subjects when it was discontinuous and when it was also treated with corticosteroids. A total of 61% of the patients were unsatisfied with the prescribed pain therapy. CONCLUSIONS: Before the beginning of palliative care, physicians do not manage pain adequately. We support the idea that palliative care is not only intended for the last days of life but must be started early and simultaneously with oncological treatments. All that, in our opinion, is often ignored, and we hope that our study could have a positive influence and that the study results stimulate further research in this area with in-depth studies.

Contactless vital signs monitoring in macaques using a mm-wave FMCW radar.

Heart rate (HR) and respiration rate (RR) play an important role in the study of complex behaviors and their physiological correlations in non-human primates (NHPs). However, collecting HR and RR information is often challenging, involving either invasive implants or tedious behavioral training, and there are currently few established simple and non-invasive techniques for HR and RR measurement in NHPs owing to their stress response or indocility. In this study, we employed a frequency-modulated continuous wave (FMCW) radar to design a novel contactless HR and RR monitoring system. The designed system can estimate HR and RR in real time by placing the FMCW radar on the cage and facing the chest of both awake and anesthetized macaques, the NHP investigated in this study. Experimental results show that the proposed method outperforms existing methods, with averaged absolute errors between the reference monitor and radar estimates of 0.77 beats per minute (bpm) and 1.29 respirations per minute (rpm) for HR and RR, respectively. In summary, we believe that the proposed non-invasive and contactless estimation method could be generalized as a HR and RR monitoring tool for NHPs. Furthermore, after modifying the radar signal-processing algorithms, it also shows promise for applications in other experimental animals for animal welfare, behavioral, neurological, and ethological research.

Ocular Signs and Testing Most Compatible with Sarcoidosis-Associated Uveitis: A Latent Class Analysis.

Purpose: This study aims to explore the potential subgroups of sarcoidosis-associated uveitis (SAU) within a multicenter cohort of uveitis participants. Design: Cross-sectional study. Participants: A cohort of 826 uveitis patients from a uveitis registry from 19 clinical centers in 12 countries between January 2011 and April 2015. Methods: We employed a latent class analysis (LCA) incorporating recommended tests and clinical signs from the revised International Workshop on Ocular Sarcoidosis (IWOS) to identify potential SAU subgroups within the multicenter uveitis cohort. Additionally, we assessed the performance of the individual tests and clinical signs in classifying the potential subclasses. Main Outcome Measures: Latent subtypes of SAU. Results: Among 826 participants included in this analysis, the 2-class LCA model provided a best fit, with the lowest Bayesian information criteria of 7218.7 and an entropy of 0.715. One class, consisting of 548 participants, represented the non-SAU, whereas the second class, comprised of 278 participants, was most representative of SAU. Snowballs/string of pearls vitreous opacities had the best test performance for classification, followed by bilaterality and bilateral hilar lymphadenopathy (BHL). The combination of 4 tests with the highest classification importance, including snowballs/string of pearls vitreous opacities, periphlebitis and/or macroaneurysm, bilaterality, and BHL, demonstrated a sensitivity of 84.8% and a specificity of 95.4% in classifying the SAU subtypes. In the exploratory analysis of the 3-class LCA model, which had comparable fit indices as the 2-class model, we identified a candidate non-SAU subtype, candidate SAU subtype with pulmonary involvement, and a candidate SAU with less pulmonary involvement. Conclusions: Latent class modeling, incorporating tests and clinical signs from the revised IWOS criteria, effectively identified a subset of participants with clinical features indicative of SAU. Though the sensitivity of individual ocular signs or tests was not perfect, using a combination of tests provided a satisfactory performance in classifying the SAU subclasses identified by the 2-class LCA model. Notably, the classes identified by the 3-class LCA model, including a non-SAU subtype, an SAU subtype with pulmonary involvement, and an SAU subtype with less pulmonary involvement, may have potential implication for clinical practice, and hence should be validated in further research. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Pre-thrombolysis serum sodium concentration is associated with post-thrombolysis symptomatic intracranial hemorrhage in ischemic stroke patients.

Background and aim: Symptomatic intracranial hemorrhage (sICH) was the most serious complication associated with alteplase intravenous thrombolysis (IVT) in acute ischemic stroke (AIS) patients. However, the relationship between serum sodium levels and post-thrombolysis symptomatic intracranial hemorrhage has not been investigated. Therefore, the aim of this study was to investigate the relationship between pre-thrombolysis serum sodium levels and sICH after IVT, as well as to explore the optimal pre-thrombolysis serum sodium levels for lowering the risk of sICH following IVT. Methods: From July 1, 2017 to April 30, 2023, out-of-hospital AIS patients who received IVT in the emergency department were enrolled in this study. Serum sodium levels were measured at admission prior to IVT, and National Institutes of Health Stroke Scale scores were continuously assessed during and after thrombolysis. Routine follow-up neuroimaging was performed between 22 to 36 h after IVT. Initially, three logistic regression models and restricted cubic splines (RCS) were established to investigate the relationship between serum sodium levels and post-thrombolysis sICH. Furthermore, to evaluate the predictive value of serum sodium for post-thrombolysis sICH, we compared area under the receiver operating characteristic curve (AUROC) and net reclassification improvement (NRI) before and after incorporating serum sodium into traditional models. Finally, subgroup analysis was conducted to explore interactions between serum sodium levels and other variables. Results: A total of 784 AIS patients who underwent IVT were enrolled, among whom 47 (6.0%) experienced sICH. The median serum sodium concentration for all patients was 139.10 [interquartile ranges (IQR): 137.40-141.00] mmol/L. Patients who developed sICH had lower serum sodium levels than those without sICH [138.20(IQR:136.00-140.20) vs. 139.20(IQR:137.40-141.00), p = 0.031]. Logistic regression analysis (model 3) revealed a 14% reduction in the risk of post-thrombolysis sICH for every 1 mmol/L increase in serum sodium levels after adjusting for confounding variables (p < 0.001). The risk of post-thrombolysis sICH was minimized within the serum sodium range of 139.1-140.9 mmol/L compared to serum sodium concentration below 137.0 mmol/L [odds ratio (OR) = 0.33, 95% confidence interval (CI): 0.13-0.81] in model3. Furthermore, there was a significant trend of decreasing risk for sICH as serum sodium concentrations increased across the four quartiles (P for trend = 0.036). The RCS analysis indicated a statistically significant reduction in the risk of sICH as serum sodium levels increased when the concentration was below 139.1 mmol/L. Incorporating serum sodium into traditional models improved their predictive performance, resulting in higher AUROC and NRI values. Subgroup analysis suggested that early infarct signs (EIS) appeared to moderate the relationship between serum sodium and sICH (p < 0.05). Conclusion: Lower serum sodium levels were identified as independent risk factors for post-thrombolysis sICH. Maintaining pre-thrombolysis serum sodium concentrations above 139.1 mmol/L may help reduce the risk of post-thrombolysis sICH.

Knowledge levels of stroke among hypertensive and diabetic patients in a tertiary hospital.

BACKGROUND: Strokes represent a major global health challenge, as they now affect up to 15 million people annually, with increasing mortality rates accompanying growing prevalence. In Saudi Arabia, hypertension (HTN) and diabetes mellitus (DM) have been identified as major contributors to stroke risk, with a combination of HTN and DM significantly magnifying the risk of strokes. While there have been global improvements in stroke prevention, recently knowledge levels vary significantly worldwide, and multiple studies in Saudi Arabia show inconsistent awareness levels. OBJECTIVES: This study seeks to develop insights for the development of tailored prevention programs that align with Saudi Vision 2030 in terms of enhancing quality of life. Thus, the aim of the study is to assess knowledge levels of stroke risk factors, warning signs, symptoms, and prevention methods among high-risk groups (HTN and DM patients) at King Saud University Medical City (KSUMC). METHODS: This was an analytical cross-sectional study conducted among 422 participants from June 2022 to January 2023, using a validated Arabic questionnaire taken, with permission, from previous studies. All HTN and T2DM patients in the waiting areas of the outpatient clinics at KSUMC, Riyadh were included as part of the random sampling, though patients below 20-years-old and those with other endocrine disorders were then excluded. RESULTS: The majority of participants were male (64.5 %). The analysis showed that 66.1 % of participants had "poor total knowledge" of stroke factors. Half of the participants (50.5 %) had "poor knowledge" about stroke risk factors, though the most commonly identified risk factor was "hypertension". Additionally, the findings showed that 46.4 % of participants had "poor knowledge" of stroke warning signs and symptoms, with the most commonly identified warning sign being "difficulty in speaking." Nearly half of participants (46.4 %) had "good knowledge" of stroke prevention methods; however, "regular exercise" was the most commonly identified prevention method. CONCLUSION: Although the participants displayed decent knowledge of stroke prevention methods, several notable deficits in overall knowledge of stroke factors emerged. In particular, knowledge of stroke risk factors and warning signs and symptoms among participants was inadequate. This implies that healthcare providers should seek to launch campaigns addressing stroke knowledge mainly among high-risk groups, potentially distributing brochures about stroke knowledge in the relevant clinics and seeking to provide a range of educational content by means of social media.

Sex Disparities: Couple's Knowledge and Attitude Towards Obstetric Danger Signs and Maternal Health Care: in Rural Jimma Zone of Ethiopia.

Purpose: This study aimed to compare knowledge and attitudes towards obstetric danger signs and care between females receiving maternal care and their male partners. Methods and Materials: A community-based comparative cross-sectional study was conducted in the rural setting of Jimma, Ethiopia. Female and their male partners were selected randomly. The number of participants included from each sex was 3235 totaling 6470. Face-to-face data collection was employed using open data kit (ODK) software. A pre-test was performed before the data collection. Descriptive and analytical statistical analysis was used to compare knowledge and attitudes regarding obstetric danger signs and care. Predictor variables were declared considering a 95% confidence interval, adjusted odds ratio (AOR) and P-value less than 0.05. Results: On average, male and female participants identified at least two obstetric danger signs. More females could mention more antenatal, childbirth, and postnatal danger signs than their male partners. Both females and their male partners who listened to the radio at least once per week had a statistically significant positive attitude towards obstetric care. Nonetheless, both had an almost similar magnitude of attitude towards obstetric care irrespective of belonging to different occupational, educational, and other social strata. Males' knowledge of danger signs during pregnancy (95% CI = (1.07-1.62), AOR = 1.32, P < 0.008) and postnatal care (95% CI = (1.16-1.89), AOR = 1.48, P < 0.002) had a statistically significant association with the females utilization antenatal care (ANC) service, though not delivery care (DC) or postnatal (PNC). Conclusion: There were inequalities in obstetric danger signs knowledge between females and their male partners. Male partners' knowledge of obstetric danger signs is not only significant during pregnancy and delivery but also has a lasting impact on post-natal service utilization, which underscores the importance of their involvement in maternal healthcare.

Transformations at the Dawn of Verbal Language.

In this essay the author describes some of the transformations that occur as one moves from preverbal functioning to verbally symbolic language. In preverbal experience, there is a direct connection between the sign and what is signified. An infant or child signifies displeasure by throwing his food or other objects to the floor. Much of the emotional tie between mother and infant and patient and analyst is communicated in this way. When a transformation occurs from preverbal to verbally symbolic language, as occurs in early development and as one interprets a dream, meaning is not merely translated, meaning is created. On acquiring verbally symbolic language, a "space" mediated by an interpreting subject opens between the symbol (for instance, the word guilt) and the symbolized (the experience of guilt) and a new subjectivity is created. On entry into verbally symbolic language, one becomes able to experience oneself in a qualitatively different way; one becomes both subject and object, I and me; one becomes able to experience a far broader range of feelings and types of thinking. Helen Keller's account of her experience of acquiring verbally symbolic language is drawn upon.

Improving diagnosis of early complications (<1 week) through continuous vital sign monitoring following oncological gastrointestinal surgical procedures.

BACKGROUND: Patients undergoing major oncological abdominal surgery are prone to postoperative complications, making early recognition crucial. Clinical deterioration is often preceded by changes in vital signs, which are typically measured thrice a day by a nurse. However, intermittent measurements may delay recognizing clinical deterioration. Continuous vital parameter monitoring may lead to earlier recognition and management of complications and reduce nursing workload. OBJECTIVE: To compare vital parameter measurements between ward nurses and a wireless continuous monitoring system (Sensium® wireless patch) and assess whether this patch can detect clinical deterioration earlier in patients with complications in the first postoperative week. METHODS: Vital parameters (heart rate, respiratory rate, and temperature) were collected in patients undergoing an oncological resection of the liver, colorectal, or pancreas. Sensium® patch measurements were compared to nurses' measurements to assess the percentages of discordant measurements. In patients with complications in the first postoperative week, time discrepancies between nurses and Sensium® patch measurements were identified in cases of clinical deterioration (respiratory rate ≥15/min, heart rate ≥100/min, and temperature ≥38°C). RESULTS: Among 227 patients, 22% of the patients experienced complications. Nurse and Sensium® measurements were discrepant in 586/2272 measurements (26%). In 506/586 discrepancies (86%), this was due to the respiratory rate (difference ≥4/min). Compared to nurses, the Sensium® patch detected an elevated respiratory rate 14 h earlier and heart rate 2 h earlier within complications in the first postoperative week. For temperature, no difference was observed. CONCLUSION: Continuous monitoring with the Sensium® wireless patch holds promise for earlier recognition of complications in patients who underwent major oncological abdominal surgery.

Traffic Sign Recognition Using Multi-Task Deep Learning for Self-Driving Vehicles.

Over the coming years, the advancement of driverless transport systems for people and goods that are designed to be used on fixed routes will revolutionize the transportation system. Therefore, for a safe transportation system, detecting and recognizing traffic signals based on computer vision has become increasingly important. Deep learning approaches, particularly convolutional neural networks, have shown exceptional performance in various computer vision applications. The goal of this research is to precisely detect and recognize traffic signs that are present on the streets using computer vision and deep learning techniques. Previous work has focused on symbol-based traffic signals, where popular single-task learning models have been trained and tested. Therefore, several comparisons have been conducted to select accurate single-task learning models. For further improvement, these models are employed in a multi-task learning approach. Indeed, multi-task learning algorithms are built by sharing the convolutional layer parameters between the different tasks. Hence, for the multi-task learning approach, different experiments have been carried out using pre-trained architectures like, for instance, InceptionResNetV2 and DenseNet201. A range of traffic signs and traffic lights are employed to validate the designed model. An accuracy of 99.07% is achieved when the entire network has been trained. To further enhance the accuracy of the model for traffic signs obtained from the street, a region of interest module is added to the multi-task learning module to accurately extract the traffic signs available in the image. To check the effectiveness of the adopted methodology, the designed model has been successfully tested in real-time on a few Riyadh highways.

Evaluation of Lateral Radar Positioning for Vital Sign Monitoring: An Empirical Study.

Vital sign monitoring is dominated by precise but costly contact-based sensors. Contactless devices such as radars provide a promising alternative. In this article, the effects of lateral radar positions on breathing and heartbeat extraction are evaluated based on a sleep study. A lateral radar position is a radar placement from which multiple human body zones are mapped onto different radar range sections. These body zones can be used to extract breathing and heartbeat motions independently from one another via these different range sections. Radars were positioned above the bed as a conventional approach and on a bedside table as well as at the foot end of the bed as lateral positions. These positions were evaluated based on six nights of sleep collected from healthy volunteers with polysomnography (PSG) as a reference system. For breathing extraction, comparable results were observed for all three radar positions. For heartbeat extraction, a higher level of agreement between the radar foot end position and the PSG was found. An example of the distinction between thoracic and abdominal breathing using a lateral radar position is shown. Lateral radar positions could lead to a more detailed analysis of movements along the body, with the potential for diagnostic applications.

Awareness of stroke, its signs, and risk factors: A cross-sectional population-based survey in Ghana.

Background and Aims: The prevalence of stroke in sub-Saharan Africa is steadily rising, leading to a growing strain on the healthcare system in the region. In the context of Ghana, stroke ranks as the third most prevalent cause of mortality. The current body of scholarly research on stroke awareness in Ghana is quite limited. The aim of this study is to assess the level of awareness of stroke, as well as its signs and symptoms among the Ghanaian population. Methods: The study employed a cross-sectional quantitative methodology, wherein 1000 participants completed self-administered structured questionnaires. Descriptive statistics were utilized to summarize the participants' socio-demographic characteristics and their responses. To assess the relationship between participants' sociodemographic traits and their awareness of stroke signs, symptoms, risk factors, and perception, the Chi-square test of independence was conducted using IBM SPSS version 26. A significance level of p < 0.05 was established. Results: The study identified limited awareness regarding stroke symptoms, warning signs, and risk factors. The participants exhibited an overall knowledge range of 25.9% to 47.2% concerning stroke signs and symptoms, and a range of 24%-39% regarding its causes and risk factors. Notably, paralysis (70.8%) and diet (59.9%) were the most easily recognized warning signs and risk factors for stroke, respectively. Sociodemographic characteristics such as age, religion, educational status, exposure to stroke, employment status, and marital status were shown to be associated with participants knowledge of stroke (p < 0.05). Conclusion: The study's results indicated a widespread lack of knowledge concerning the causes and risk factors of stroke among the Ghanaian population, highlighting the necessity for increased public education efforts to raise awareness about this condition.

Approach to fever in children.

BACKGROUND: Fever in children is one of the most common reasons for outpatient visits as well as in-patient evaluation, often causing anxiety among parents and caregivers. Fever can be a standalone feature or be associated with other localising symptoms and signs like rash, lymphadenopathy, or any other organ system involvement with or without a focus of infection. The etiologies of fever vary depending on the clinical setting and epidemiology. India being a tropical country, sees a distinct spectrum of tropical infections. Physicians need to stay updated on the prevalent diseases in their region and the unique factors that may influence the clinical presentations and course of fever in the cohort of children they manage. The challenge lies in balancing the benefit of early treatment for severe diseases versus the harms of unnecessary investigations and treatment for self-resolving illnesses. OBJECTIVES: This review aims to provide a comprehensive overview of fever in children, covering its etiology, clinical features, and management strategies. This review offers an algorithmic approach to fever tailored to the Indian setting to guide physicians in identifying the disease based on clinical symptoms and signs, ordering essential laboratory investigations, and initiating appropriate management promptly. CONTENT: The review categorises fever into various segments like fever with localising signs like rash, lymphadenopathy, fever due to infection localised to a particular organ system, and fever without a focus including fever of unknown origin. It delves into the diverse etiological factors contributing to fever in each of these categories, encompassing infectious and non-infectious origins. It gives pointers to identify the etiology from history, examination, and confirm them with judicious use of diagnostic investigations with emphasis on identifying the red flag signs that require immediate attention, especially in vulnerable groups like neonates and young infants.

Capacities and needs of health care facilities for schistosomiasis diagnosis and management in elimination settings.

BACKGROUND: Schistosomiasis is a debilitating neglected tropical disease endemic in sub-Saharan Africa. The role of health facilities in the prevention, diagnosis, control, and elimination of schistosomiasis is poorly documented. In a setting targeted for schistosomiasis elimination in Zanzibar, we assessed the prevalence of Schistosoma haematobium among patients seeking care in a health facility and investigated schistosomiasis-related knowledge of staff, and health facilities' capacities and needs for schistosomiasis diagnosis and management. METHODS: We conducted a health facility-based mixed-method study on Pemba Island from June to August 2023. Patients aged ≥ 4 years seeking care in four health facilities were screened for S. haematobium infection using urine filtration and reagent strips. Those patients aged ≥ 10 years were additionally interviewed about signs and symptoms. Staff from 23 health facilities responded to a questionnaire assessing knowledge and practices. Ten staff participated in a focus group discussion (FGD) about capacities and needs for schistosomiasis diagnosis and management. RESULTS: The prevalence of S. haematobium infection in patients attending the health facilities, as determined by the presence of eggs in urine, was 1.1% (8/712). Microhaematuria was detected in 13.3% (95/712) of the patients using reagent strips. Among patients responding to the questionnaire, pelvic pain, pain during sex, and painful urination were reported by 38.0% (237/623), 6.3% (39/623), and 3.2% (20/623), respectively. Among the health facility staff, 90.0% (44/49) and 87.8% (43/49) identified blood in urine and pelvic pain, respectively, as symptoms of urogenital schistosomiasis, 81.6% (40/49) and 93.9% (46/49) reported collecting a urine sample and pursuing a reagent strip test, respectively, for diagnosis, and 87.8% (43/49) administered praziquantel for treatment. The most reoccurring themes in the FGD were the need for more staff training about schistosomiasis, requests for diagnostic equipment, and the need to improve community response to schistosomiasis services in health facilities. CONCLUSIONS: The prevalence of S. haematobium infection in patients seeking care in health facilities in Pemba is very low and similar to what has been reported from recent community-based cross-sectional surveys. The health facility staff had good schistosomiasis-related knowledge and practices. However, to integrate schistosomiasis patient management more durably into routine health facility activities, scalable screening pathways need to be identified and capacities need to be improved by regular staff training, and an unbroken supply of accurate point-of-care diagnostics and praziquantel for the treatment of cases.

Qualitative Analysis of Women's Experiences of Education About POST-BIRTH Warning Signs.

OBJECTIVE: To explore the experiences of women in the postpartum period who received the Association of Women's Health, Obstetric and Neonatal Nurses' "POST-BIRTH Warning Signs Save Your Life" (PBWS-SYL) educational handout at discharge. DESIGN: Qualitative content analysis. SETTING: Virtual or in-person interviews in Connecticut, New York, and Florida. PARTICIPANTS: Women (N = 41) who gave birth in the previous 12 months. METHODS: In individual audio-recorded interviews, we asked participants to describe their experiences of receiving the PBWS-SYL educational handout. We used Krippendorff's method for qualitative content analysis to cluster units within the data to identify emergent themes. RESULTS: Participants who received the handout emphasized that they recognized potential warning signs during the postpartum period. Conversely, participants who reported that the PBWS-SYL educational handout was not adequately reviewed with them during discharge expressed heightened levels of distress and doubt when they encountered concerns. Analysis of transcripts revealed six overarching themes: TheInvisible Pain of the Postpartum Period, Stronger Together, The Art of Active Listening, Lost in the Pile, Postbirth Revelations, and Optimal Discharge Education. CONCLUSION: Our findings suggest that the consistent and thorough application of the PBWS-SYL handout education process is a pivotal factor in safeguarding women's health after childbirth. This education is essential to equip women with the knowledge and confidence needed to detect and address any warning signs that may emerge after birth. Nurses and health care providers can empower women to recognize and address warning signs during the postpartum period, which can lead to improved health outcomes for women.

Autonomous Triboelectric Smart Textile Sensor for Vital Sign Monitoring.

Wearable smart textile sensors for monitoring vital signs are fast, noninvasive, and highly desirable for personalized health management to diagnose health anomalies such as cardiovascular diseases and respiratory dysfunction. Traditional biosignal sensors, with power consumption issues, constrain the use of wearable medical devices. This study introduces an autonomous triboelectric smart textile sensor (AUTS) made of reduced graphene oxide/manganese dioxide/polydimethylsiloxane (RGO-M-PDMS) and polytetrafluoroethylene (TEFLON)-knitted silver electrode, offering promise for vital sign monitoring with self-powering, flexibility, and wearability. The sensor exhibits impressive output performance, with a sensitivity of 7.8 nA/kPa, response time of ≈40 ms, good stability of >15,000 cycles, stretchability of up to 40%, and machine washability of >20 washes. The AUTS has been integrated to the TriBreath respiratory belt for monitoring respiratory signals and pulse strap for pulse signals concurrently at different body pulse points. These sensors wirelessly transmitted the acquired biosignals to a smartphone, demonstrating the potential of a self-powered and real-time vital sign monitoring system.