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Scientific Reports Jun 2024Accurate screening of COVID-19 infection status for symptomatic patients is a critical public health task. Although molecular and antigen tests now exist for COVID-19,... (Comparative Study)
Comparative Study
Accurate screening of COVID-19 infection status for symptomatic patients is a critical public health task. Although molecular and antigen tests now exist for COVID-19, in resource-limited settings, screening tests are often not available. Furthermore, during the early stages of the pandemic tests were not available in any capacity. We utilized an automated machine learning (ML) approach to train and evaluate thousands of models on a clinical dataset consisting of commonly available clinical and laboratory data, along with cytokine profiles for patients (n = 150). These models were then further tested for generalizability on an out-of-sample secondary dataset (n = 120). We were able to develop a ML model for rapid and reliable screening of patients as COVID-19 positive or negative using three approaches: commonly available clinical and laboratory data, a cytokine profile, and a combination of the common data and cytokine profile. Of the tens of thousands of models automatically tested for the three approaches, all three approaches demonstrated > 92% sensitivity and > 88 specificity while our highest performing model achieved 95.6% sensitivity and 98.1% specificity. These models represent a potential effective deployable solution for COVID-19 status classification for symptomatic patients in resource-limited settings and provide proof-of-concept for rapid development of screening tools for novel emerging infectious diseases.
Topics: Humans; COVID-19; Machine Learning; Cytokines; SARS-CoV-2; Mass Screening; Male; Female; Sensitivity and Specificity; Middle Aged; Adult; Aged
PubMed: 38937503
DOI: 10.1038/s41598-024-63707-3 -
Gastric Cancer : Official Journal of... Jun 2024The effectiveness of esophagogastroduodenoscopy (EGD) screening in cohorts with low Helicobacter pylori prevalence is unknown. This study aimed to develop an optimally...
BACKGROUND
The effectiveness of esophagogastroduodenoscopy (EGD) screening in cohorts with low Helicobacter pylori prevalence is unknown. This study aimed to develop an optimally efficient EGD screening strategy for detecting H. pylori-naïve gastric neoplasms (HpNGNs).
METHODS
EGD data of 12 institutions from 2016 to 2022 were retrospectively analyzed. Age-related HpNGN prevalence, tumor growth rate, missing rate, and detection threshold size were calculated from the databases. Subsequently, using clinical data, a novel mathematical model that simultaneously simulated demographic changes and HpNGN detection was developed. Screening strategies using different starting ages (40/45/50 years) and intervals (2/5/10 years) were also compared. The detection rates of all tumors occurring within the virtual cohort and number-needed-to-test (NNT) were measured as outcomes.
RESULTS
Data of 519,368 EGDs and 97 HpNGNs (34 pure signet ring cell carcinomas, 26 gastric adenocarcinomas of the fundic gland type, 30 foveolar gastric adenoma-Raspberry type, and seven undifferentiated-type cancer cases) were analyzed. A virtual cohort with a 70-year time horizon was used to simulate the occurrence, growth, and detection of 346,5836 people. Among the strategies with detection rate > 50%, the screening strategy with a 5-year interval starting at 45 years of age had the lowest NNT. Adopting this strategy, most HpNGNs were detected at < 20 mm in size, and the deep submucosal invasion rate was less than 30%.
CONCLUSIONS
A mathematical simulation model revealed that screening every 5 years starting at 45 years of age could efficiently assist in identifying HpNGNs at an early stage.
PubMed: 38937306
DOI: 10.1007/s10120-024-01525-2 -
Global Health, Science and Practice Jun 2024Countries that are high burden for TB must reverse the COVID-19 pandemic's devastating effects to accelerate progress toward ending TB. Vietnam's Double X (2X) strategy...
Countries that are high burden for TB must reverse the COVID-19 pandemic's devastating effects to accelerate progress toward ending TB. Vietnam's Double X (2X) strategy uses chest radiography (CXR) and GeneXpert (Xpert) rapid diagnostic testing to improve early detection of TB disease. Household contacts and vulnerable populations (e.g., individuals aged 60 years and older, smokers, diabetics, those with alcohol use disorders, and those previously treated for TB) with and without TB symptoms were screened in community campaigns using CXRs, followed by Xpert for those with a positive screen. In public non-TB district facilities, diabetics, respiratory outpatients, inpatients with lung disease, and other vulnerable populations underwent 2X evaluation. During COVID-19 restrictions in Vietnam, the 2X strategy improved access to TB services by decentralization to commune health stations, the lowest level of the health system, and enabling self-screening using a quick response mobile application. The number needed to screen (NNS) with CXRs to diagnose 1 person with TB disease was calculated for all 2X models and showed the highest yield among self-screeners (11 NNS with CXR), high yield for vulnerable populations in communities (60 NNS) and facilities (19 NNS), and moderately high yield for household contacts in community campaigns (154 NNS). Computer-aided diagnosis for CXRs was incorporated into community and facility implementation and improved physicians' CXR interpretations and Xpert referral decisions. Integration of TB infection and TB disease evaluation increased eligibility for TB preventive treatment among household contacts, a major challenge during implementation. The 2X strategy increased the rational use of Xpert, employing a health system-wide approach that reached vulnerable populations with and without TB symptoms in communities and facilities for early detection of TB disease. This strategy was effectively adapted to different levels of the health system during COVID-19 restrictions and contributed to post-pandemic TB recovery in Vietnam.
Topics: Humans; Vietnam; COVID-19; Tuberculosis, Pulmonary; Mass Screening; SARS-CoV-2; Middle Aged; Radiography, Thoracic; Tuberculosis; Female; Pandemics; Male; Vulnerable Populations
PubMed: 38936961
DOI: 10.9745/GHSP-D-24-00024 -
In Vivo (Athens, Greece) 2024Hearing impairment affects a small but significant percentage of newborns (0.1-0.4%). Newborn hearing screening (NHS) is recommended for early detection and treatment....
BACKGROUND/AIM
Hearing impairment affects a small but significant percentage of newborns (0.1-0.4%). Newborn hearing screening (NHS) is recommended for early detection and treatment. The implementation of NHS can vary among countries. In this study, we present the methodology, organization, and technical requirements of NHS. This study analyzed results from a tertiary hospital, identified issues, and proposed solutions.
PATIENTS AND METHODS
In the studied region, there are five maternity hospitals and a perinatal intensive care center and in 2020, there were 5,864 live births. Screening is performed at three levels. The first screening is conducted on the 2-3 day of a newborn's life in a maternity hospital, the first rescreening on the 3-6 week at a relevant ENT department, and the second rescreening on the 3-6 month of life at the regional screening center where the central database is also held.
RESULTS
In the studied region, 5,793 out of 5,864 (98.79%) newborns received NHS in 2020. Of these, 120 (2.07%) were tested positive on their first screening. Ninety-four patients (78.3%) of those attended the ENT department for a first rescreening. Thirty-four patients (0.59% of total) were tested positive again and referred to the regional screening center. Out of the 27 patients who attended the second rescreening, four (0.07% of the total) were ultimately diagnosed with hearing impairment.
CONCLUSION
Our study found that newborn hearing screening (NHS) in our region achieved a high compliance rate of 98.8% for initial screenings in 2020. However, challenges remain in the rescreening process due to data management issues, inter-regional cooperation, and public awareness. The recent implementation of mandatory screenings, updated guidelines, and a centralized database is expected to enhance the effectiveness of NHS. Further research is needed to evaluate these improvements.
Topics: Humans; Infant, Newborn; Neonatal Screening; Hearing Tests; Hearing Loss; Female; Male
PubMed: 38936904
DOI: 10.21873/invivo.13650 -
The British Journal of General Practice... Jul 2024
Topics: Humans; Psoriasis; Mass Screening
PubMed: 38936859
DOI: 10.3399/bjgp24X738753 -
Journal of Sport Rehabilitation Jun 2024The Hip Stability Isometric Test (HipSIT) is commonly employed in clinical settings for evaluating the hip posterolateral muscle strength. In this study, we introduced...
CONTEXT
The Hip Stability Isometric Test (HipSIT) is commonly employed in clinical settings for evaluating the hip posterolateral muscle strength. In this study, we introduced the "Field Hip Stability Isometric Test" (F-HipSIT) and assessed the intrarater and interrater reliability of this strength assessment specifically designed for sports settings.
DESIGN
Reliability study.
METHODS
Two independent raters (A and B) went to athletes' training facilities to conduct 2 sessions of F-HipSIT spaced at least 1 week apart. The average peak force value from 3 valid attempts of each leg was recorded and normalized by the participant's body mass for statistical analysis.
RESULTS
Thirty male and 30 female amateur athletes took part in this study. Rater A obtained similar values in the first (0.39 [0.05] and 0.44 [0.07] kg·f/kg) and second (0.39 [0.06] and 0.45 [0.07] kg·f/kg) testing days for men and women, respectively. Rater B also found similar values in the first (0.35 [0.06] and 0.42 [0.08] kg·f/kg) and second (0.36 [0.06] and 0.45 [0.08] kg·f/kg) testing days for men and women, respectively. Excellent intrarater intraclass correlation coefficient (ICC) values were found for men (ICC = .922) and women (ICC = .930), with coefficient of variation of 6% to 8% and minimal detectable change of 0.06 to 0.10 kg·f/kg. The F-HipSIT presented good interrater reliability for men (ICC = .857) and women (ICC = .868), with coefficient of variation of 5% and minimal detectable change of 0.05 to 0.06 kg·f/kg.
CONCLUSION
The F-HipSIT intrarater and interrater reliability among male and female recreational athletes supports this field test as a quick and convenient screening tool to monitor hip posterolateral muscle strength in sports settings.
PubMed: 38936805
DOI: 10.1123/jsr.2023-0146 -
PloS One 2024The elderly is commonly susceptible to depression, the symptoms for which may overlap with natural aging or other illnesses, and therefore miss being captured by routine...
BACKGROUND
The elderly is commonly susceptible to depression, the symptoms for which may overlap with natural aging or other illnesses, and therefore miss being captured by routine screening questionnaires. Passive sensing data have been promoted as a tool for depressive symptoms detection though there is still limited evidence on its usage in the elderly. Therefore, this study aims to review current knowledge on the use of passive sensing data via smartphones and smartwatches in depressive symptom screening for the elderly.
METHOD
The search of literature was performed in PubMed, IEEE Xplore digital library, and PsycINFO. Literature investigating the use of passive sensing data to screen, monitor, and/or predict depressive symptoms in the elderly (aged 60 and above) via smartphones and/or wrist-worn wearables was included for initial screening. Studies in English from international journals published between January 2012 to September 2022 were included. The reviewed studies were further analyzed by a narrative analysis.
RESULTS
The majority of 21 included studies were conducted in Western countries with a few in Asia and Australia. Most studies adopted a cohort study design (n = 12), followed by cross-sectional design (n = 7) and a case-control design (n = 2). The most popular passive sensing data was related to sleep and physical activity using an actigraphy. Sleep characteristics, such as prolonged wakefulness after sleep onset, along with lower levels of physical activity, exhibited a significant association with depression. However, cohort studies expressed concerns regarding data quality stemming from incomplete follow-up and potential confounding effects.
CONCLUSION
Passive sensing data, such as sleep, and physical activity parameters should be promoted for depressive symptoms detection. However, the validity, reliability, feasibility, and privacy concerns still need further exploration.
Topics: Humans; Smartphone; Depression; Aged; Mass Screening; Wearable Electronic Devices; Sleep; Middle Aged; Exercise; Female
PubMed: 38935797
DOI: 10.1371/journal.pone.0304845 -
PloS One 2024Tools screening depression and anxiety developed using the Western biomedical paradigm are still used with First Nations Peoples globally, despite calls for...
A Delphi study and development of a social and emotional wellbeing screening tool for Australian First Nations Peoples living in the Torres Strait and Northern Peninsula Area of Australia.
Tools screening depression and anxiety developed using the Western biomedical paradigm are still used with First Nations Peoples globally, despite calls for cross-cultural adaption. Recent work by this research team found that tools used to screen for depression and anxiety were inappropriate for use with Australian First Nations Peoples living in the Torres Strait and Northern Peninsula Area of Australia. The objective of this Delphi study, the second phase of a broader four-phase project, was to gain consensus from an expert mental health and/or social and emotional wellbeing (SEWB) panel to inform the development of an appropriate screening tool. This Delphi study took place between March and May 2023. Three sequential rounds of anonymous online surveys delivered using QualtricsTM were planned, although only two were needed to reach 75% consensus. The first round sought consensus on whether a new screening tool needed to be developed or whether existing tools could be used. The second round achieved consensus. Twenty-eight experts (47% response rate) participated across the two Delphi rounds. In the second round, 83% of these experts agreed or strongly agreed that a new screening tool, using the holistic First Nations concept of social and emotional wellbeing, be developed. Ninety-four percent of them agreed that it should take a Yarning approach. These findings enabled the development of a new SEWB screening tool that adopted a Yarning (narrative) approach designed for use in primary care and geriatric settings in the region. The new tool has four different Yarning areas: Community engagement and behaviour; Stress worries; Risk; and Feeling strong. Guidelines for tool use are integrated as well as Summary and Recommendation sections. At a macro-level this project responds to the need for new screening tools that are underpinned by First Nations worldviews.
Topics: Adult; Female; Humans; Male; Middle Aged; Anxiety; Australia; Delphi Technique; Depression; Emotions; Mass Screening; Mental Health; Surveys and Questionnaires; Australian Aboriginal and Torres Strait Islander Peoples
PubMed: 38935759
DOI: 10.1371/journal.pone.0306316 -
Indian Journal of Public Health Oct 2023A study was conducted to determine the prevalence of metabolic syndrome (MetS) in urban and rural areas of Ludhiana district, Punjab. A total of 1000 subjects aged 25-65... (Comparative Study)
Comparative Study
A study was conducted to determine the prevalence of metabolic syndrome (MetS) in urban and rural areas of Ludhiana district, Punjab. A total of 1000 subjects aged 25-65 years were selected for screening. The study found that both urban and rural areas had an average body mass index above 23.0 kg/m2, with rural populations having higher waist circumference, hip circumference, and waist-hip ratios. Abdominal obesity was more prevalent in women in both areas. Rural men and women had higher fasting blood glucose and systolic blood pressure/diastolic blood pressure levels. MetS prevalence in urban areas is lower among men (7%) and women (10%) compared to rural areas (34% and 26%). The timely detection of metabolic disorder risk factors and intervention can effectively address MetS in the Indian population, thereby improving the country's health statistics.
Topics: Humans; India; Middle Aged; Adult; Male; Female; Prevalence; Metabolic Syndrome; Rural Population; Aged; Urban Population; Body Mass Index; Risk Factors; Blood Glucose
PubMed: 38934809
DOI: 10.4103/ijph.ijph_1747_22 -
Hepatology Communications Jul 2024Identifying patients with undiagnosed advanced chronic liver disease (ACLD) is a public health challenge. Patients with advanced fibrosis or compensated cirrhosis have...
BACKGROUND
Identifying patients with undiagnosed advanced chronic liver disease (ACLD) is a public health challenge. Patients with advanced fibrosis or compensated cirrhosis have much better outcomes than those with decompensated disease and may be eligible for interventions to prevent disease progression.
METHODS
A cloud-based software solution ("the Liver Toolkit") was developed to access primary care practice software to identify patients at risk of ACLD. Clinical history and laboratory results were extracted to calculate aspartate aminotransferase-to-platelet ratio index and fibrosis 4 scores. Patients identified were recalled for assessment, including Liver Stiffness Measurement (LSM) via transient elastography. Those with an existing diagnosis of cirrhosis were excluded.
RESULTS
Existing laboratory results of more than 32,000 adults across nine general practices were assessed to identify 703 patients at increased risk of ACLD (2.2% of the cohort). One hundred seventy-nine patients (26%) were successfully recalled, and 23/179 (13%) were identified to have ACLD (LSM ≥10.0 kPa) (10% found at indeterminate risk [LSM 8.0-9.9 kPa] and 77% low risk of fibrosis [LSM <8.0 kPa]). In most cases, the diagnosis of liver disease was new, with the most common etiology being metabolic dysfunction-associated steatotic liver disease (n=20, 83%). Aspartate aminotransferase-to-platelet ratio index ≥1.0 and fibrosis 4 ≥3.25 had a positive predictive value for detecting ACLD of 19% and 24%, respectively. Patients who did not attend recall had markers of more severe disease with a higher median aspartate aminotransferase-to-platelet ratio index score (0.57 vs. 0.46, p=0.041).
CONCLUSIONS
This novel information technology system successfully screened a large primary care cohort using existing laboratory results to identify patients at increased risk ACLD. More than 1 in 5 patients recalled were found to have liver disease requiring specialist follow-up.
Topics: Humans; Female; Male; Middle Aged; Elasticity Imaging Techniques; General Practice; Adult; Liver Cirrhosis; Liver Diseases; Software; Mass Screening; Aged; Aspartate Aminotransferases; Chronic Disease; Platelet Count
PubMed: 38934697
DOI: 10.1097/HC9.0000000000000482