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return kwic search for risk out of >500 occurrences
421954 occurrences (No.40 in the rank) during 5 years in the PubMed. [cache]

342) Accurate detection and risk stratification of latent tuberculosis infection (LTBI) remains a major clinical and public health problem.

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PMID:34654869 DOI:10.1038/s41598-021-99754-3

2021 Scientific reports

* Risk assessment of latent tuberculosis infection through a multiplexed cytokine biosensor assay and machine learning feature selection.

- Accurate detection and risk stratification of latent tuberculosis infection (LTBI) remains a major clinical and public health problem. We hypothesize that multiparameter strategies that probe immune responses to Mycobacterium tuberculosis can provide new diagnostic insights into not only the status of LTBI infection, but also the risk of reactivation. After the initial proof-of-concept study, we developed a 13-plex immunoassay panel to profile cytokine release from peripheral blood mononuclear cells stimulated separately with Mtb-relevant and non-specific antigens to identify putative biomarker signatures. We sequentially enrolled 65 subjects with various risk of TB exposure, including 32 subjects with diagnosis of LTBI. Random Forest feature selection and statistical data reduction methods were applied to determine cytokine levels across different normalized stimulation conditions. Receiver Operator Characteristic (ROC) analysis for full and reduced feature sets revealed differences in biomarkers signatures for LTBI status and reactivation risk designations. The reduced set for increased risk included IP-10, IL-2, IFN-γ, TNF-α, IL-15, IL-17, CCL3, and CCL8 under varying normalized stimulation conditions. ROC curves determined predictive accuracies of > 80% for both LTBI diagnosis and increased risk designations. Our study findings suggest that a multiparameter diagnostic approach to detect normalized cytokine biomarker signatures might improve risk stratification in LTBI.

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[frequency of next (right) word to risk]

(1)139 of	(11)7 prediction	(21)3 decision	(31)2 markers
(2)49 factors	(12)6 stratification	(22)3 or	(32)2 mitigation
(3)46 for	(13)5 individuals	(23)3 patients	(33)2 population
(4)21 null	(14)4 genes	(24)2 (OR	(34)2 ratio
(5)19 factor	(15)4 populations	(25)2 among	(35)2 reduction
(6)16 and	(16)4 score	(26)2 communication	(36)2 screening
(7)13 assessment	(17)4 to	(27)2 communication,	(37)2 strategies
(8)12 in	(18)4 variants	(28)2 designations
(9)8 perception	(19)3 alleles	(29)2 group
(10)7 factors,	(20)3 assessment,	(30)2 is

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--- WordNet output for risk --- =>1.損害の恐れ, 危険, 冒険, リスク, 2.危険にさらす, 3.敢えてする, 被保険者, 被保険物, 危険にさらす, 賭けてみる Overview of noun risk The noun risk has 4 senses (first 2 from tagged texts) 1. (4) hazard, jeopardy, peril, risk, endangerment -- (a source of danger; a possibility of incurring loss or misfortune; "drinking alcohol is a health hazard") 2. (2) risk, peril, danger -- (a venture undertaken without regard to possible loss or injury; "he saw the rewards but not the risks of crime"; "there was a danger he would do the wrong thing") 3. risk, risk of infection -- (the probability of becoming infected given that exposure to an infectious agent has occurred) 4. risk, risk of exposure -- (the probability of being exposed to an infectious agent) Overview of verb risk The verb risk has 2 senses (first 2 from tagged texts) 1. (8) risk, put on the line, lay on the line -- (expose to a chance of loss or damage; "We risked losing a lot of money in this venture"; "Why risk your life?"; "She laid her job on the line when she told the boss that he was wrong") 2. (2) gamble, chance, risk, hazard, take chances, adventure, run a risk, take a chance -- (take a risk in the hope of a favorable outcome; "When you buy these stocks you are gambling") --- WordNet end ---