Factors associated with performing tuberculosis screening of HIV-positive patients in Ghana: LASSO-based predictor selection in a large public health data set

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Factors associated with performing tuberculosis screening of HIV-positive patients in Ghana: LASSO-based predictor selection in a large public health data set. / Mueller-Using, Susanne; Feldt, Torsten; Sarfo, Fred Stephen; Eberhardt, Kirsten Alexandra.

In: BMC PUBLIC HEALTH, Vol. 16, 13.07.2016, p. 563.

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@article{2c6687e904f44252848a3ccabefb96e5,
title = "Factors associated with performing tuberculosis screening of HIV-positive patients in Ghana: LASSO-based predictor selection in a large public health data set",
abstract = "BACKGROUND: The purpose of this study is to propose the Least Absolute Shrinkage and Selection Operators procedure (LASSO) as an alternative to conventional variable selection models, as it allows for easy interpretation and handles multicollinearities. We developed a model on the basis of LASSO-selected parameters in order to link associated demographical, socio-economical, clinical and immunological factors to performing tuberculosis screening in HIV-positive patients in Ghana.METHODS: Applying the LASSO method and multivariate logistic regression analysis on a large public health data set, we selected relevant predictors related to tuberculosis screening.RESULTS: One Thousand Ninety Five patients infected with HIV were enrolled into this study with 691 (63.2 %) of them having tuberculosis screening documented in their patient folders. Predictors found to be significantly associated with performance of tuberculosis screening can be classified into factors related to the clinician's perception of the clinical state, as well as those related to PLHIV's awareness. These factors include newly diagnosed HIV infections (n = 354 (32.42 %), aOR 1.84), current CD4+ T cell count (aOR 0.92), non-availability of HIV type (n = 787 (72.07 %), aOR 0.56), chronic cough (n = 32 (2.93 %), aOR 5.07), intake of co-trimoxazole (n = 271 (24.82 %), aOR 2.31), vitamin supplementation (n = 220 (20.15 %), aOR 2.64) as well as the use of mosquito bed nets (n = 613 (56.14 %), aOR 1.53).CONCLUSIONS: Accelerated TB screening among newly diagnosed HIV-patients indicates that application of the WHO screening form for intensifying tuberculosis case finding among HIV-positive individuals in resource-limited settings is increasingly adopted. However, screening for TB in PLHIV is still impacted by clinician's perception of patient's health state and PLHIV's health awareness. Education of staff, counselling of PLHIV and sufficient financing are needed for further improvement in implementation of TB screening for all PLHIV. The LASSO approach proved a convenient method for automatic variable selection in a large public health data set that requires efficient and fast algorithms.TRIALS REGISTRATION: ClinicalTrials.gov NCT01897909 (July 5, 2013).",
keywords = "Adult, Algorithms, CD4-Positive T-Lymphocytes, Female, Ghana, HIV Infections/blood, Humans, Logistic Models, Male, Mass Screening/methods, Middle Aged, Multivariate Analysis, Population Surveillance, Public Health/statistics & numerical data, Trimethoprim, Sulfamethoxazole Drug Combination/therapeutic use, Tuberculosis/diagnosis",
author = "Susanne Mueller-Using and Torsten Feldt and Sarfo, {Fred Stephen} and Eberhardt, {Kirsten Alexandra}",
year = "2016",
month = jul,
day = "13",
doi = "10.1186/s12889-016-3239-y",
language = "English",
volume = "16",
pages = "563",
journal = "BMC PUBLIC HEALTH",
issn = "1471-2458",
publisher = "BioMed Central Ltd.",

}

RIS

TY - JOUR

T1 - Factors associated with performing tuberculosis screening of HIV-positive patients in Ghana: LASSO-based predictor selection in a large public health data set

AU - Mueller-Using, Susanne

AU - Feldt, Torsten

AU - Sarfo, Fred Stephen

AU - Eberhardt, Kirsten Alexandra

PY - 2016/7/13

Y1 - 2016/7/13

N2 - BACKGROUND: The purpose of this study is to propose the Least Absolute Shrinkage and Selection Operators procedure (LASSO) as an alternative to conventional variable selection models, as it allows for easy interpretation and handles multicollinearities. We developed a model on the basis of LASSO-selected parameters in order to link associated demographical, socio-economical, clinical and immunological factors to performing tuberculosis screening in HIV-positive patients in Ghana.METHODS: Applying the LASSO method and multivariate logistic regression analysis on a large public health data set, we selected relevant predictors related to tuberculosis screening.RESULTS: One Thousand Ninety Five patients infected with HIV were enrolled into this study with 691 (63.2 %) of them having tuberculosis screening documented in their patient folders. Predictors found to be significantly associated with performance of tuberculosis screening can be classified into factors related to the clinician's perception of the clinical state, as well as those related to PLHIV's awareness. These factors include newly diagnosed HIV infections (n = 354 (32.42 %), aOR 1.84), current CD4+ T cell count (aOR 0.92), non-availability of HIV type (n = 787 (72.07 %), aOR 0.56), chronic cough (n = 32 (2.93 %), aOR 5.07), intake of co-trimoxazole (n = 271 (24.82 %), aOR 2.31), vitamin supplementation (n = 220 (20.15 %), aOR 2.64) as well as the use of mosquito bed nets (n = 613 (56.14 %), aOR 1.53).CONCLUSIONS: Accelerated TB screening among newly diagnosed HIV-patients indicates that application of the WHO screening form for intensifying tuberculosis case finding among HIV-positive individuals in resource-limited settings is increasingly adopted. However, screening for TB in PLHIV is still impacted by clinician's perception of patient's health state and PLHIV's health awareness. Education of staff, counselling of PLHIV and sufficient financing are needed for further improvement in implementation of TB screening for all PLHIV. The LASSO approach proved a convenient method for automatic variable selection in a large public health data set that requires efficient and fast algorithms.TRIALS REGISTRATION: ClinicalTrials.gov NCT01897909 (July 5, 2013).

AB - BACKGROUND: The purpose of this study is to propose the Least Absolute Shrinkage and Selection Operators procedure (LASSO) as an alternative to conventional variable selection models, as it allows for easy interpretation and handles multicollinearities. We developed a model on the basis of LASSO-selected parameters in order to link associated demographical, socio-economical, clinical and immunological factors to performing tuberculosis screening in HIV-positive patients in Ghana.METHODS: Applying the LASSO method and multivariate logistic regression analysis on a large public health data set, we selected relevant predictors related to tuberculosis screening.RESULTS: One Thousand Ninety Five patients infected with HIV were enrolled into this study with 691 (63.2 %) of them having tuberculosis screening documented in their patient folders. Predictors found to be significantly associated with performance of tuberculosis screening can be classified into factors related to the clinician's perception of the clinical state, as well as those related to PLHIV's awareness. These factors include newly diagnosed HIV infections (n = 354 (32.42 %), aOR 1.84), current CD4+ T cell count (aOR 0.92), non-availability of HIV type (n = 787 (72.07 %), aOR 0.56), chronic cough (n = 32 (2.93 %), aOR 5.07), intake of co-trimoxazole (n = 271 (24.82 %), aOR 2.31), vitamin supplementation (n = 220 (20.15 %), aOR 2.64) as well as the use of mosquito bed nets (n = 613 (56.14 %), aOR 1.53).CONCLUSIONS: Accelerated TB screening among newly diagnosed HIV-patients indicates that application of the WHO screening form for intensifying tuberculosis case finding among HIV-positive individuals in resource-limited settings is increasingly adopted. However, screening for TB in PLHIV is still impacted by clinician's perception of patient's health state and PLHIV's health awareness. Education of staff, counselling of PLHIV and sufficient financing are needed for further improvement in implementation of TB screening for all PLHIV. The LASSO approach proved a convenient method for automatic variable selection in a large public health data set that requires efficient and fast algorithms.TRIALS REGISTRATION: ClinicalTrials.gov NCT01897909 (July 5, 2013).

KW - Adult

KW - Algorithms

KW - CD4-Positive T-Lymphocytes

KW - Female

KW - Ghana

KW - HIV Infections/blood

KW - Humans

KW - Logistic Models

KW - Male

KW - Mass Screening/methods

KW - Middle Aged

KW - Multivariate Analysis

KW - Population Surveillance

KW - Public Health/statistics & numerical data

KW - Trimethoprim, Sulfamethoxazole Drug Combination/therapeutic use

KW - Tuberculosis/diagnosis

U2 - 10.1186/s12889-016-3239-y

DO - 10.1186/s12889-016-3239-y

M3 - SCORING: Journal article

C2 - 27412114

VL - 16

SP - 563

JO - BMC PUBLIC HEALTH

JF - BMC PUBLIC HEALTH

SN - 1471-2458

ER -