90 datasets found
  1. f

    Data from: S1 Dataset -

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    xlsx
    Updated Feb 12, 2025
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    Lukundo Siame; Gift C. Chama; Sepiso K. Masenga (2025). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0312570.s002
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    Dataset updated
    Feb 12, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Lukundo Siame; Gift C. Chama; Sepiso K. Masenga
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundTuberculosis (TB) remains a significant public health challenge, particularly among vulnerable populations like children. This is especially true in Sub-Saharan Africa, where the burden of TB in children is substantial. Zambia ranks 21st among the top 30 high TB endemic countries globally. While studies have explored TB in adults in Zambia, the prevalence and associated factors in children are not well documented. This study aimed to determine the prevalence and sociodemographic, and clinical factors associated with active TB disease in hospitalized children under the age of 15 years at Livingstone University Teaching Hospital (LUTH), the largest referral center in Zambia’s Southern Province.MethodsThis retrospective cross-sectional study of 700 pediatric patients under 15 years old, utilized programmatic data from the Pediatrics Department at LUTH. A systematic sampling method was used to select participants from medical records. Data on demographics, medical conditions, anthropometric measurements, and blood tests were collected. Data analysis included descriptive statistics, chi-square tests, and multivariable logistic regression to identify factors associated with TB.ResultsThe median age was 24 months (interquartile range (IQR): 11, 60) and majority were male (56.7%, n = 397/700). Most participants were from urban areas (59.9%, n = 419/700), and 9.2% (n = 62/675) were living with HIV. Malnutrition and comorbidities were present in a significant portion of the participants (19.0% and 25.1%, respectively). The prevalence of active TB cases was 9.4% (n = 66/700) among hospitalized children. Persons living with HIV (Adjusted odds ratio (AOR) of 6.30; 95% confidence interval (CI) of 2.85, 13.89, p< 0.001), and those who were malnourished (AOR: 10.38, 95% CI: 4.78, 22.55, p< 0.001) had a significantly higher likelihood of developing active TB disease.ConclusionThis study revealed a prevalence 9.4% active TB among hospitalized children under 15 years at LUTH. HIV status and malnutrition emerged as significant factors associated with active TB disease. These findings emphasize the need for pediatric TB control strategies that prioritize addressing associated factors to effectively reduce the burden of tuberculosis in Zambian children.

  2. S1 Data -

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    Updated Jan 2, 2024
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    Levicatus Mugenyi; Proscovia Mukonzo Namuwenge; Simple Ouma; Baker Bakashaba; Mastula Nanfuka; Jennifer Zech; Collins Agaba; Andrew Mijumbi Ojok; Fedress Kaliba; John Bossa Kato; Ronald Opito; Yunus Miya; Cordelia Katureebe; Yael Hirsch-Moverman (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0296239.s002
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    zipAvailable download formats
    Dataset updated
    Jan 2, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Levicatus Mugenyi; Proscovia Mukonzo Namuwenge; Simple Ouma; Baker Bakashaba; Mastula Nanfuka; Jennifer Zech; Collins Agaba; Andrew Mijumbi Ojok; Fedress Kaliba; John Bossa Kato; Ronald Opito; Yunus Miya; Cordelia Katureebe; Yael Hirsch-Moverman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundTuberculosis (TB) remains the leading cause of death among people living with HIV (PLHIV). To prevent TB among PLHIV, the Ugandan national guidelines recommend Isoniazid Preventive Therapy (IPT) across differentiated service delivery (DSD) models, an effective way of delivering ART. DSD models include Community Drug Distribution Point (CDDP), Community Client-led ART Delivery (CCLAD), Facility-Based Individual Management (FBIM), Facility-Based Group (FBG), and Fast Track Drug Refill (FTDR). Little is known about the impact of delivering IPT through DSD.MethodsWe reviewed medical records of PLHIV who initiated IPT between June-September 2019 at TASO Soroti (TS), Katakwi Hospital (KH) and Soroti Regional Referral Hospital (SRRH). We defined IPT completion as completing a course of isoniazid within 6–9 months. We utilized a modified Poisson regression to compare IPT completion across DSD models and determine factors associated with IPT completion in each DSD model.ResultsData from 2968 PLHIV were reviewed (SRRH: 50.2%, TS: 25.8%, KH: 24.0%); females: 60.7%; first-line ART: 91.7%; and Integrase Strand Transfer Inhibitor (INSTI)-based regimen: 61.9%. At IPT initiation, the median age and duration on ART were 41.5 (interquartile range [IQR]; 32.3–50.2) and 6.0 (IQR: 3.7–8.6) years, respectively. IPT completion overall was 92.8% (95%CI: 91.8–93.7%); highest in CDDP (98.1%, 95%CI: 95.0–99.3%) and lowest in FBG (85.8%, 95%CI: 79.0–90.7%). Compared to FBIM, IPT completion was significantly higher in CDDP (adjusted rate ratio [aRR] = 1.15, 95%CI: 1.09–1.22) and CCLAD (aRR = 1.09, 95% CI 1.02–1.16). In facility-based models, IPT completion differed between sites (p

  3. f

    Minimal dataset.

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    xlsx
    Updated Sep 6, 2024
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    Emmanuel L. Luwaya; Lackson Mwape; Kaole Bwalya; Chileleko Siakabanze; Benson M. Hamooya; Sepiso K. Masenga (2024). Minimal dataset. [Dataset]. http://doi.org/10.1371/journal.pone.0308869.s002
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    xlsxAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Emmanuel L. Luwaya; Lackson Mwape; Kaole Bwalya; Chileleko Siakabanze; Benson M. Hamooya; Sepiso K. Masenga
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundAn increase in the prevalence of HIV drug resistance (HIVDR) has been reported in recent years, especially in persons on non-nucleoside reverse transcriptase inhibitors (NNRTIs) due to their low genetic barrier to mutations. However, there is a paucity of epidemiological data quantifying HIVDR in the era of new drugs like dolutegravir (DTG) in sub-Saharan Africa. We, therefore, sought to determine the prevalence and correlates of viral load (VL) suppression in adult people with HIV (PWH) on a fixed-dose combination of tenofovir disoproxil fumarate/lamivudine/dolutegravir (TLD) or tenofovir alafenamide/emtricitabine/dolutegravir (TAFED) and describe patterns of mutations in individuals failing treatment.MethodsWe conducted a cross-sectional study among 384 adults living with HIV aged ≥15 years between 5th June 2023 and 10th August 2023. Demographic, laboratory and clinical data were collected from electronic health records using a data collection form. Viral load suppression was defined as plasma HIV-1 RNA VL of

  4. f

    Comparison of the hematological profile of HC users and non-users at...

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    xls
    Updated Jun 1, 2023
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    Solomon Gedfie; Solomon Getawa; Woldeteklehaymanot Kassahun; Kiros Terefe Gashaye; Mulugeta Melku (2023). Comparison of the hematological profile of HC users and non-users at University of Gondar Comprehensive Specialized Referral Hospital, Northwest Ethiopia, 2021 (Median, IQR, and p-value) (n = 240). [Dataset]. http://doi.org/10.1371/journal.pone.0277254.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Solomon Gedfie; Solomon Getawa; Woldeteklehaymanot Kassahun; Kiros Terefe Gashaye; Mulugeta Melku
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Gondar, Ethiopia
    Description

    Comparison of the hematological profile of HC users and non-users at University of Gondar Comprehensive Specialized Referral Hospital, Northwest Ethiopia, 2021 (Median, IQR, and p-value) (n = 240).

  5. Univariable and multivariable logistic regression of factors associated with...

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    Updated Feb 12, 2025
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    Lukundo Siame; Gift C. Chama; Sepiso K. Masenga (2025). Univariable and multivariable logistic regression of factors associated with tuberculosis infection. [Dataset]. http://doi.org/10.1371/journal.pone.0312570.t002
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    xlsAvailable download formats
    Dataset updated
    Feb 12, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Lukundo Siame; Gift C. Chama; Sepiso K. Masenga
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Univariable and multivariable logistic regression of factors associated with tuberculosis infection.

  6. f

    Factors associated with viral suppression in logistic regression.

    • plos.figshare.com
    xls
    Updated Sep 6, 2024
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    Emmanuel L. Luwaya; Lackson Mwape; Kaole Bwalya; Chileleko Siakabanze; Benson M. Hamooya; Sepiso K. Masenga (2024). Factors associated with viral suppression in logistic regression. [Dataset]. http://doi.org/10.1371/journal.pone.0308869.t003
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    xlsAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Emmanuel L. Luwaya; Lackson Mwape; Kaole Bwalya; Chileleko Siakabanze; Benson M. Hamooya; Sepiso K. Masenga
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Factors associated with viral suppression in logistic regression.

  7. f

    Percent change (%Δ) and 95 percent confidence intervals (95% CI) in...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Kelly K. Ferguson; Thomas F. McElrath; Bhramar Mukherjee; Rita Loch-Caruso; John D. Meeker (2023). Percent change (%Δ) and 95 percent confidence intervals (95% CI) in inflammation biomarker in association with an interquartile range increase in urinary phthalate metabolite concentrations during pregnancy. [Dataset]. http://doi.org/10.1371/journal.pone.0135601.t003
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kelly K. Ferguson; Thomas F. McElrath; Bhramar Mukherjee; Rita Loch-Caruso; John D. Meeker
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Results from weighted linear mixed models with subject-specific random intercepts and slopes.aCrude model adjusted for urinary specific gravity and gestational age at sample collection (N = 480 subjects, 1518 observations);bFull model additionally adjusted for maternal race/ethnicity, health insurance provider, pre-pregnancy body mass index, and time of day of urine sample collection (N = 464 subjects, 1468 observations)Percent change (%Δ) and 95 percent confidence intervals (95% CI) in inflammation biomarker in association with an interquartile range increase in urinary phthalate metabolite concentrations during pregnancy.

  8. f

    Parameters and uncertainty ranges.

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    xls
    Updated Oct 30, 2023
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    Joshua Havumaki; Joshua L. Warren; Jon Zelner; Nicolas A. Menzies; Roger Calderon; Carmen Contreras; Leonid Lecca; Mercedes C. Becerra; Megan Murray; Ted Cohen (2023). Parameters and uncertainty ranges. [Dataset]. http://doi.org/10.1371/journal.pone.0293519.t001
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    xlsAvailable download formats
    Dataset updated
    Oct 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Joshua Havumaki; Joshua L. Warren; Jon Zelner; Nicolas A. Menzies; Roger Calderon; Carmen Contreras; Leonid Lecca; Mercedes C. Becerra; Megan Murray; Ted Cohen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Mathematical models have suggested that spatially-targeted screening interventions for tuberculosis may efficiently accelerate disease control, but empirical data supporting these findings are limited. Previous models demonstrating substantial impacts of these interventions have typically simulated large-scale screening efforts and have not attempted to capture the spatial distribution of tuberculosis in households and communities at a high resolution. Here, we calibrate an individual-based model to the locations of case notifications in one district of Lima, Peru. We estimate the incremental efficiency and impact of a spatially-targeted interventions used in combination with household contact tracing (HHCT). Our analysis reveals that HHCT is relatively efficient with a median of 40 (Interquartile Range: 31.7 to 49.9) household contacts required to be screened to detect a single case of active tuberculosis. However, HHCT has limited population impact, producing a median incidence reduction of only 3.7% (Interquartile Range: 5.8% to 1.9%) over 5 years. In comparison, spatially targeted screening (which we modeled as active case finding within high tuberculosis prevalence areas 100 m2 grid cell) is far less efficient, requiring evaluation of ≈12 times the number of individuals as HHCT to find a single individual with active tuberculosis. Furthermore, the addition of the spatially targeted screening effort produced only modest additional reductions in tuberculosis incidence over the 5 year period (≈1.3%) in tuberculosis incidence. In summary, we found that HHCT is an efficient approach for tuberculosis case finding, but has limited population impact. Other screening approaches which target areas of high tuberculosis prevalence are less efficient, and may have limited impact unless very large numbers of individuals can be screened.

  9. f

    Median (interquartile range) times (in minutes) from arrival to imaging and...

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    xls
    Updated Jun 2, 2023
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    Fiona E. Lecky; Olubukola Otesile; Carl Marincowitz; Marek Majdan; Daan Nieboer; Hester F. Lingsma; Marc Maegele; Giuseppe Citerio; Nino Stocchetti; Ewout W. Steyerberg; David K. Menon; Andrew I. R. Maas (2023). Median (interquartile range) times (in minutes) from arrival to imaging and key emergency interventions in study hospital (21,681 patients). [Dataset]. http://doi.org/10.1371/journal.pmed.1003761.t003
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    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS Medicine
    Authors
    Fiona E. Lecky; Olubukola Otesile; Carl Marincowitz; Marek Majdan; Daan Nieboer; Hester F. Lingsma; Marc Maegele; Giuseppe Citerio; Nino Stocchetti; Ewout W. Steyerberg; David K. Menon; Andrew I. R. Maas
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Median (interquartile range) times (in minutes) from arrival to imaging and key emergency interventions in study hospital (21,681 patients).

  10. Characteristics of included meta-analyses.

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    xls
    Updated Mar 19, 2024
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    Samer Mheissen; Haris Khan; David Normando; Nikhillesh Vaiid; Carlos Flores-Mir (2024). Characteristics of included meta-analyses. [Dataset]. http://doi.org/10.1371/journal.pone.0298526.t001
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    Dataset updated
    Mar 19, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Samer Mheissen; Haris Khan; David Normando; Nikhillesh Vaiid; Carlos Flores-Mir
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundOrthodontic systematic reviews (SRs) use different methods to pool the individual studies in a meta-analysis when indicated. However, the number of studies included in orthodontic meta-analyses is relatively small. This study aimed to evaluate the direction of estimate changes of orthodontic meta-analyses (MAs) using different between-study variance methods considering the level of heterogeneity when few trials were pooled.MethodsSearch and study selection: Systematic reviews (SRs) published over the last three years, from the 1st of January 2020 to the 31st of December 2022, in six main orthodontic journals with at least one MA pooling five or lesser primary studies were identified. Data collection and analysis: Data were extracted from each eligible MA, which was replicated in a random effect model using DerSimonian and Laird (DL), Paule–Mandel (PM), Restricted maximum-likelihood (REML), Hartung Knapp and Sidik Jonkman (HKSJ) methods. The results were reported using median and interquartile range (IQR) for continuous data and frequencies for categorical data and analyzed using non-parametric tests. The Boruta algorithm was used to assess the significant predictors for the significant change in the confidence interval between the different methods compared to the DL method, which was only feasible using the HKSJ method.Results146 MAs were included, most applying the random effect model (n = 111; 76%) and pooling continuous data using mean difference (n = 121; 83%). The median number of studies was three (range 2, 4), and the overall statistical heterogeneity (I2 ranged from 0 to 99% with a median of 68%). Close to 60% of the significant findings became non-significant when HKSJ was applied compared to the DL method and when the heterogeneity was present I2>0%. On the other hand, 30.43% of the non-significant meta-analyses using the DL method became significant when HKSJ was used when the heterogeneity was absent I2 = 0%.ConclusionOrthodontic MAs with few studies can produce different results based on the between-study variance method and the statistical heterogeneity level. Compared to DL, HKSJ method is overconservative when I2 is greater than 0% and may result in false positive findings when the heterogeneity is absent.

  11. f

    Features of carotid plaques.

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    • plos.figshare.com
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    Updated Sep 13, 2023
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    Salahaden R. Sultan; Mohammed Khayat; Bander Almutairi; Abdulhamid Marzouq; Ahmad Albngali; Rawan Abdeen; Adnan A.S. Alahmadi; Fadi Toonsi (2023). Features of carotid plaques. [Dataset]. http://doi.org/10.1371/journal.pone.0291450.s002
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    Dataset updated
    Sep 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Salahaden R. Sultan; Mohammed Khayat; Bander Almutairi; Abdulhamid Marzouq; Ahmad Albngali; Rawan Abdeen; Adnan A.S. Alahmadi; Fadi Toonsi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Carotid plaque features assessed using B-mode ultrasound can be useful for the prediction of cerebrovascular symptoms. Therefore, the aim of this retrospective study was to determine the ability of ultrasound B-mode imaging to differentiate between carotid plaques causing less than 50% stenosis in symptomatic and asymptomatic patients. A dataset of 1,593 patients with carotid disease who underwent carotid ultrasound between 2016 and 2021 was evaluated retrospectively between January and April of 2022. A total of 107 carotid plaques from 35 symptomatic and 52 asymptomatic patients causing low-grade stenosis on B-mode images were included in the analysis. Chi-square, independent t-test and Mann-Whitney U test were used to compare the variables. There was a significant association between hypertension and the presence of cerebrovascular symptoms (p = 0.01). Predominantly hypoechoic and hyperechoic carotid plaque were significantly associated with the presence and absence of cerebrovascular symptoms, respectively (predominantly hypoechoic: p = 0.01; predominantly hyperechoic: p = 0.02). Surface irregularity was significantly associated with the presence of cerebrovascular symptoms (p = 0.02). There is was a significant difference in the carotid plaque length and area between the symptomatic and asymptomatic patients (plaque length: symptomatic median 9 mm, interquartile range [IQR] 6 mm; asymptomatic median 6 mm, IQR 4.5 mm, p = 0.01; plaque area: symptomatic median 24 mm, IQR 30 mm; asymptomatic median 14 mm, IQR 17 mm, p = 0.01); however, this difference was not significant for plaque thickness (p = 0.55), or common carotid artery intima-media thickness (p = 0.7). Our findings indicate that hypertension patients with predominantly hypoechoic carotid plaques and plaques with an irregular surface are associated with the presence of cerebrovascular symptoms. In addition, the carotid plaques in symptomatic patients were longer and larger compared to asymptomatic patients.

  12. f

    Patient information.

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    xls
    Updated Sep 13, 2023
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    Salahaden R. Sultan; Mohammed Khayat; Bander Almutairi; Abdulhamid Marzouq; Ahmad Albngali; Rawan Abdeen; Adnan A.S. Alahmadi; Fadi Toonsi (2023). Patient information. [Dataset]. http://doi.org/10.1371/journal.pone.0291450.t001
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    xlsAvailable download formats
    Dataset updated
    Sep 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Salahaden R. Sultan; Mohammed Khayat; Bander Almutairi; Abdulhamid Marzouq; Ahmad Albngali; Rawan Abdeen; Adnan A.S. Alahmadi; Fadi Toonsi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Carotid plaque features assessed using B-mode ultrasound can be useful for the prediction of cerebrovascular symptoms. Therefore, the aim of this retrospective study was to determine the ability of ultrasound B-mode imaging to differentiate between carotid plaques causing less than 50% stenosis in symptomatic and asymptomatic patients. A dataset of 1,593 patients with carotid disease who underwent carotid ultrasound between 2016 and 2021 was evaluated retrospectively between January and April of 2022. A total of 107 carotid plaques from 35 symptomatic and 52 asymptomatic patients causing low-grade stenosis on B-mode images were included in the analysis. Chi-square, independent t-test and Mann-Whitney U test were used to compare the variables. There was a significant association between hypertension and the presence of cerebrovascular symptoms (p = 0.01). Predominantly hypoechoic and hyperechoic carotid plaque were significantly associated with the presence and absence of cerebrovascular symptoms, respectively (predominantly hypoechoic: p = 0.01; predominantly hyperechoic: p = 0.02). Surface irregularity was significantly associated with the presence of cerebrovascular symptoms (p = 0.02). There is was a significant difference in the carotid plaque length and area between the symptomatic and asymptomatic patients (plaque length: symptomatic median 9 mm, interquartile range [IQR] 6 mm; asymptomatic median 6 mm, IQR 4.5 mm, p = 0.01; plaque area: symptomatic median 24 mm, IQR 30 mm; asymptomatic median 14 mm, IQR 17 mm, p = 0.01); however, this difference was not significant for plaque thickness (p = 0.55), or common carotid artery intima-media thickness (p = 0.7). Our findings indicate that hypertension patients with predominantly hypoechoic carotid plaques and plaques with an irregular surface are associated with the presence of cerebrovascular symptoms. In addition, the carotid plaques in symptomatic patients were longer and larger compared to asymptomatic patients.

  13. f

    Socio-demographic and clinical factors sorted according to suppressed...

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    xls
    Updated Sep 6, 2024
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    Emmanuel L. Luwaya; Lackson Mwape; Kaole Bwalya; Chileleko Siakabanze; Benson M. Hamooya; Sepiso K. Masenga (2024). Socio-demographic and clinical factors sorted according to suppressed status. [Dataset]. http://doi.org/10.1371/journal.pone.0308869.t002
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    xlsAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Emmanuel L. Luwaya; Lackson Mwape; Kaole Bwalya; Chileleko Siakabanze; Benson M. Hamooya; Sepiso K. Masenga
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Socio-demographic and clinical factors sorted according to suppressed status.

  14. f

    Median (25th, 75th percentiles) concentrations of plasma inflammation...

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    xls
    Updated Jun 2, 2023
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    Kelly K. Ferguson; Thomas F. McElrath; Bhramar Mukherjee; Rita Loch-Caruso; John D. Meeker (2023). Median (25th, 75th percentiles) concentrations of plasma inflammation biomarkers and urinary phthalate metabolites by study visit in weighted study population. [Dataset]. http://doi.org/10.1371/journal.pone.0135601.t002
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    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kelly K. Ferguson; Thomas F. McElrath; Bhramar Mukherjee; Rita Loch-Caruso; John D. Meeker
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    *P < 0.05 for difference in biomarker concentration at visit 2,3, or 4 compared to visit 1.aCalculated from linear mixed effect (LME) models with subject specific random intercepts and slopes with biomarker predicted by study visit (continuous)Median (25th, 75th percentiles) concentrations of plasma inflammation biomarkers and urinary phthalate metabolites by study visit in weighted study population.

  15. Comparison of laboratory findings between the single and multiple DHR...

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    xls
    Updated Jun 1, 2023
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    Hong-Joon Shin; Jin-Sun Chang; Min-Suk Kim; Bo-Gun Koh; Ha-Young Park; Tae-Ok Kim; Chul-Kyu Park; In-Jae Oh; Yu-Il Kim; Sung-Chul Lim; Young-Chul Kim; Young-Il Koh; Yong-Soo Kwon (2023). Comparison of laboratory findings between the single and multiple DHR groups. [Dataset]. http://doi.org/10.1371/journal.pone.0246291.t004
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    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Hong-Joon Shin; Jin-Sun Chang; Min-Suk Kim; Bo-Gun Koh; Ha-Young Park; Tae-Ok Kim; Chul-Kyu Park; In-Jae Oh; Yu-Il Kim; Sung-Chul Lim; Young-Chul Kim; Young-Il Koh; Yong-Soo Kwon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Comparison of laboratory findings between the single and multiple DHR groups.

  16. f

    Patient characteristics by race. Shown are the number and percentage of...

    • plos.figshare.com
    xls
    Updated Jun 23, 2025
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    Alana Schreibman; Kimberly Lactaoen; Jaehyun Joo; Patrick K. Gleeson; Gary E. Weissman; Andrea J. Apter; Rebecca A. Hubbard; Blanca E. Himes (2025). Patient characteristics by race. Shown are the number and percentage of patients in each level for categorical variables, and the Median and Interquartile Range (IQR) for continuous variables in patients of White race versus Black race. [Dataset]. http://doi.org/10.1371/journal.pdig.0000677.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 23, 2025
    Dataset provided by
    PLOS Digital Health
    Authors
    Alana Schreibman; Kimberly Lactaoen; Jaehyun Joo; Patrick K. Gleeson; Gary E. Weissman; Andrea J. Apter; Rebecca A. Hubbard; Blanca E. Himes
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Patient characteristics by race. Shown are the number and percentage of patients in each level for categorical variables, and the Median and Interquartile Range (IQR) for continuous variables in patients of White race versus Black race.

  17. Unadjusted outcomes of colostomy takedown patients from 2012–2022,...

    • plos.figshare.com
    xls
    Updated Jun 25, 2025
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    Kevin Tabibian; Nam Yong Cho; Oh Jin Kwon; Esteban Aguayo; Ayesha P. Ng; Courtney Obasohan; Dariush Yalzadeh; Arjun Chaturvedi; Peyman Benharash; Hanjoo Lee (2025). Unadjusted outcomes of colostomy takedown patients from 2012–2022, stratified by surgical approach. IQR, interquartile range; LOS, Length of Stay (days). Outcomes were reported as proportions (%) for categorical data and as median [interquartile range] for continuous data. [Dataset]. http://doi.org/10.1371/journal.pone.0326963.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Kevin Tabibian; Nam Yong Cho; Oh Jin Kwon; Esteban Aguayo; Ayesha P. Ng; Courtney Obasohan; Dariush Yalzadeh; Arjun Chaturvedi; Peyman Benharash; Hanjoo Lee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Unadjusted outcomes of colostomy takedown patients from 2012–2022, stratified by surgical approach. IQR, interquartile range; LOS, Length of Stay (days). Outcomes were reported as proportions (%) for categorical data and as median [interquartile range] for continuous data.

  18. Adjusted outcomes of patients undergoing robotic-assisted colostomy takedown...

    • plos.figshare.com
    xls
    Updated Jun 25, 2025
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    Kevin Tabibian; Nam Yong Cho; Oh Jin Kwon; Esteban Aguayo; Ayesha P. Ng; Courtney Obasohan; Dariush Yalzadeh; Arjun Chaturvedi; Peyman Benharash; Hanjoo Lee (2025). Adjusted outcomes of patients undergoing robotic-assisted colostomy takedown in reference to both open and laparoscopic approaches (2022). IQR, interquartile range; LOS, Length of Stay (days). Adjusted outcomes are reported as Odds Ratio (AOR) with 95% confidence intervals (95%Cl) or β coefficient (β), as appropriate. [Dataset]. http://doi.org/10.1371/journal.pone.0326963.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Kevin Tabibian; Nam Yong Cho; Oh Jin Kwon; Esteban Aguayo; Ayesha P. Ng; Courtney Obasohan; Dariush Yalzadeh; Arjun Chaturvedi; Peyman Benharash; Hanjoo Lee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Adjusted outcomes of patients undergoing robotic-assisted colostomy takedown in reference to both open and laparoscopic approaches (2022). IQR, interquartile range; LOS, Length of Stay (days). Adjusted outcomes are reported as Odds Ratio (AOR) with 95% confidence intervals (95%Cl) or β coefficient (β), as appropriate.

  19. f

    Patient characteristics by exacerbation count levels. Shown are the...

    • plos.figshare.com
    xls
    Updated Jun 23, 2025
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    Alana Schreibman; Kimberly Lactaoen; Jaehyun Joo; Patrick K. Gleeson; Gary E. Weissman; Andrea J. Apter; Rebecca A. Hubbard; Blanca E. Himes (2025). Patient characteristics by exacerbation count levels. Shown are the characteristics of patients according to their number of exacerbations during the study period. For each exacerbation level, the number and percentage of patients are shown for categorical variables, and the Median and Interquartile Range (IQR) are shown for continuous variables. [Dataset]. http://doi.org/10.1371/journal.pdig.0000677.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 23, 2025
    Dataset provided by
    PLOS Digital Health
    Authors
    Alana Schreibman; Kimberly Lactaoen; Jaehyun Joo; Patrick K. Gleeson; Gary E. Weissman; Andrea J. Apter; Rebecca A. Hubbard; Blanca E. Himes
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Patient characteristics by exacerbation count levels. Shown are the characteristics of patients according to their number of exacerbations during the study period. For each exacerbation level, the number and percentage of patients are shown for categorical variables, and the Median and Interquartile Range (IQR) are shown for continuous variables.

  20. Summary statistics and Pearson correlation coefficients between air...

    • plos.figshare.com
    xls
    Updated May 10, 2024
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    Yi Sun; Rashmi Bhuyan; Anqi Jiao; Chantal C. Avila; Vicki Y. Chiu; Jeff M. Slezak; David A. Sacks; John Molitor; Tarik Benmarhnia; Jiu-Chiuan Chen; Darios Getahun; Jun Wu (2024). Summary statistics and Pearson correlation coefficients between air pollution exposure metrics during the entire pregnancy. [Dataset]. http://doi.org/10.1371/journal.pmed.1004395.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 10, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Yi Sun; Rashmi Bhuyan; Anqi Jiao; Chantal C. Avila; Vicki Y. Chiu; Jeff M. Slezak; David A. Sacks; John Molitor; Tarik Benmarhnia; Jiu-Chiuan Chen; Darios Getahun; Jun Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Summary statistics and Pearson correlation coefficients between air pollution exposure metrics during the entire pregnancy.

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Lukundo Siame; Gift C. Chama; Sepiso K. Masenga (2025). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0312570.s002

Data from: S1 Dataset -

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
Feb 12, 2025
Dataset provided by
PLOS ONE
Authors
Lukundo Siame; Gift C. Chama; Sepiso K. Masenga
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

BackgroundTuberculosis (TB) remains a significant public health challenge, particularly among vulnerable populations like children. This is especially true in Sub-Saharan Africa, where the burden of TB in children is substantial. Zambia ranks 21st among the top 30 high TB endemic countries globally. While studies have explored TB in adults in Zambia, the prevalence and associated factors in children are not well documented. This study aimed to determine the prevalence and sociodemographic, and clinical factors associated with active TB disease in hospitalized children under the age of 15 years at Livingstone University Teaching Hospital (LUTH), the largest referral center in Zambia’s Southern Province.MethodsThis retrospective cross-sectional study of 700 pediatric patients under 15 years old, utilized programmatic data from the Pediatrics Department at LUTH. A systematic sampling method was used to select participants from medical records. Data on demographics, medical conditions, anthropometric measurements, and blood tests were collected. Data analysis included descriptive statistics, chi-square tests, and multivariable logistic regression to identify factors associated with TB.ResultsThe median age was 24 months (interquartile range (IQR): 11, 60) and majority were male (56.7%, n = 397/700). Most participants were from urban areas (59.9%, n = 419/700), and 9.2% (n = 62/675) were living with HIV. Malnutrition and comorbidities were present in a significant portion of the participants (19.0% and 25.1%, respectively). The prevalence of active TB cases was 9.4% (n = 66/700) among hospitalized children. Persons living with HIV (Adjusted odds ratio (AOR) of 6.30; 95% confidence interval (CI) of 2.85, 13.89, p< 0.001), and those who were malnourished (AOR: 10.38, 95% CI: 4.78, 22.55, p< 0.001) had a significantly higher likelihood of developing active TB disease.ConclusionThis study revealed a prevalence 9.4% active TB among hospitalized children under 15 years at LUTH. HIV status and malnutrition emerged as significant factors associated with active TB disease. These findings emphasize the need for pediatric TB control strategies that prioritize addressing associated factors to effectively reduce the burden of tuberculosis in Zambian children.

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