1
|
Ewald N, Hardt PD and Kloer HU: Severe
hypertriglyceridemia and pancreatitis: presentation and management.
Curr Opin Lipidol. 20:497–504. 2009.PubMed/NCBI View Article : Google Scholar
|
2
|
Han Y, Jiang X, Qin Y, Zhao Y, Zhang G and
Liu C: Correction: A cross-sectional study exploring the
relationship between the dietary inflammatory index and
hyperlipidemia based on the national health and nutrition
examination survey (2005-2018). Lipids Health Dis.
22(161)2023.PubMed/NCBI View Article : Google Scholar
|
3
|
Malpica D: Metabolic syndrome,
hyperlipidemias, and associated clinical markers among military
airmen. Aerosp Med Hum Perform. 94:604–609. 2023.PubMed/NCBI View Article : Google Scholar
|
4
|
Nelson RH: Hyperlipidemia as a risk factor
for cardiovascular disease. Prim Care. 40:195–211. 2013.PubMed/NCBI View Article : Google Scholar
|
5
|
Alaminos-Torres A, Martínez-Álvarez JR,
López-Ejeda N and Marrodán-Serrano MD: Atherogenic risk,
anthropometry, diet and physical activity in a sample of Spanish
commercial airline pilots. Int J Environ Res Public Health.
19(4128)2022.PubMed/NCBI View Article : Google Scholar
|
6
|
Wang D, Chen J, Cai W, Chen Y, Jiang C and
Yu X: Hyperlipidemia and intestinal microflora distributions among
flying personnel. Prev Med. 34:665–671. 2022.
|
7
|
Liu P, Bai S, Chen X, Mu H, Wang R, Li F
and Du P: Risk factors analysis and health management
countermeasures of dyslipidemia of flight personnel in 2020 annual
physical examination. In: Man-Machine-Environment System
Engineering: Proceedings of the 21st International Conference on
MMESE. Long S and Dhillon BS (eds). Springer, Singapore, pp88-93,
2022.
|
8
|
Maculewicz E, Pabin A, Kowalczuk K, Dziuda
Ł and Białek A: Endogenous risk factors of cardiovascular diseases
(CVDs) in military professionals with a special emphasis on
military pilots. J Clin Med. 11(4314)2022.PubMed/NCBI View Article : Google Scholar
|
9
|
Yu L, Zhang Y and Wang L: Analysis of
hyperlipidemia in fighter pilots. Chin J Convalescent Med.
21:166–167. 2012.
|
10
|
Bin-Bin S, Xiao-Wei WU, Chun-Lei Z, et al:
Disease spectrum of hospitalized helicopter pilots. Mil Med J S
China, 2012.
|
11
|
Dong Y, Chen H, Ma J, et al: Investigation
and analysis of diseases of high-performance fighter pilots in
different regions. J Third Mil Med Univ. 22:2313–2314.
2015.PubMed/NCBI View Article : Google Scholar
|
12
|
Smith RC, Segman RH, Golcer-Dubner T,
Pavlov V and Lerer B: Allelic variation in ApoC3, ApoA5 and LPL
genes and first and second generation antipsychotic effects on
serum lipids in patients with schizophrenia. Pharmacogenomics J.
8:228–236. 2008.PubMed/NCBI View Article : Google Scholar
|
13
|
Bays HE, Kirkpatrick C, Maki KC, Toth PP,
Morgan RT, Tondt J, Christensen SM, Dixon D and Jacobson TA:
Obesity, dyslipidemia, and cardiovascular disease: A joint expert
review from the obesity medicine association and the national lipid
association 2024. Obes Pillars. 10(100108)2024.PubMed/NCBI View Article : Google Scholar
|
14
|
Huang H, Liu J, Feng Y and Chen W: The
distribution of apolipoprotein E gene polymorphism in Chinese civil
aircrews, and a possible risk factor to their overweight and
dyslipidemia is cumulative flight time. Clin Chim Acta. 416:36–40.
2013.PubMed/NCBI View Article : Google Scholar
|
15
|
Qing C, Hong-Jin L and Tao C: Effect of
low density lipoprotein receptor gene nco site polymorphism on
blood lipid in pilots. J Prev Med Chin People's Liberation Army.
26:242–245. 2008.
|
16
|
Cai Q, Liu HJ, Chen T, et al: Relationship
between Hind III site polymorphism of lipoprotein lipase gene and
serum lipid level in pilots. Med J National Defending Forces S
China. 20:723–726. 2010.
|
17
|
Qing C, Hong-Jin L and Tao C: Relationship
between lipoprotein gene Ser447Ter site polymorphism and serum
lipid in pilots. Clin J Med Off. 39:209–211. 2011.
|
18
|
Jiang JY, Sun YC, Zhan X and Yan CQ: Study
on evaluating pilot workload based on muluti-source physiological
data fusion. Chin J Ergon. 29:2023.
|
19
|
Liu T, Qiu B, Zheng J, Zhang C, Qi Y, Fan
J, Li L and Gao J: Prevalence of and trends for dyslipidemia among
pilots from one airline in China. Int J Travel Med Glob Healt.
7:18–22. 2019.
|
20
|
Kong L, Zhao H, Wang F, Zhang R, Yao X,
Zuo R, Li J, Xu J, Qian Y, Kang Q and Fan C: Endocrine modulation
of brain-skeleton axis driven by neural stem cell-derived perilipin
5 in the lipid metabolism homeostasis for bone regeneration. Mol
Ther. 31:1293–1312. 2023.PubMed/NCBI View Article : Google Scholar
|
21
|
Choi YY and Kim KY: Effects of physical
examination and diet consultation on serum cholesterol and
health-behavior in the Korean pilots employed in commercial
airline. Ind Health. 51:603–611. 2013.PubMed/NCBI View Article : Google Scholar
|
22
|
Xiao D, Li H, Wang X, Wang B, Yan Y and
Men K: Prevalence of disease spectrum and sick leave time
associated with illness in helicopter pilots. Aviat Space Environ
Med. 84:234–236. 2013.PubMed/NCBI View Article : Google Scholar
|
23
|
World Health Organization (WHO):
International statistical classification of diseases and related
health problems (ICD-10) in occupational health. WHO, Geneva, 1999.
https://iris.who.int/bitstream/handle/10665/66100/WHO_SDE_OEH_99.11.pdf?sequence=1.
Accessed May 26, 2024.
|
24
|
Atkins DC: Using multilevel models to
analyze couple and family treatment data: basic and advanced
issues. J Fam Psychol. 19:98–110. 2005.PubMed/NCBI View Article : Google Scholar
|
25
|
Stawski RS: Multilevel analysis: An
introduction to basic and advanced multilevel modeling (2nd
edition). Struct Equ Model. 20:541–550. 2013.
|
26
|
Eilat-Tsanani S, Ernst P and Suissa S:
Real-world effectiveness of single-inhaler triple therapy for COPD:
Impact of diabetes comorbidity. COPD. 21(2327345)2024.PubMed/NCBI View Article : Google Scholar
|
27
|
Rosenbaum PR and Rubin DB: The central
role of the propoensity score in observational studies for causal
effects. Biometrika. 70:41–55. 1983.
|
28
|
Meir R and Rätsch G: An introduction to
boosting and leveraging. In: Advanced Lectures on Machine Learning.
Mendelson S and Smola A (eds). Springer, Berlin, Heidelberg,
pp119-184, 2003.
|
29
|
McCaffrey DF, Ridgeway G and Morral AR:
Propensity score estimation with boosted regression for evaluating
causal effects in observational studies. Psychol Methods.
9:403–425. 2004.PubMed/NCBI View Article : Google Scholar
|
30
|
Lee BK, Lessler J and Stuart EA: Improving
propensity score weighting using machine learning. Stat Med.
29:337–346. 2010.PubMed/NCBI View
Article : Google Scholar
|
31
|
George EL and Panos A: Does a high WBC
count signal infection? Nursing. 35:20–2. 2005.PubMed/NCBI View Article : Google Scholar
|
32
|
Chen JS, Xie PF and Feng H: The role of
exercise in improving hyperlipidemia-renal injuries induced by a
high-fat diet: A literature review. PeerJ.
11(e15435)2023.PubMed/NCBI View Article : Google Scholar
|
33
|
Pendry SD, Singhal N, Neo EL, Foreman D
and Winter JM: Elevation of the tumor marker CA19-9 in a pancreatic
cancer survivor with benign prostatic hyperplasia: A clinical case
report. Clin Case Rep. 12(e8929)2024.PubMed/NCBI View Article : Google Scholar
|
34
|
Liu S and Yuan H: The further evaluation
of the clinical significance of serum CA199 and its diagnostic
value of hepatobiliary and pancreatic diseases. J Med Theor Prac
(Chin). 22:1417–1419. 2009.
|
35
|
Bao SQ, Li FB and Jiang X: Correlation
between carbohydrate antigen 199 and glycemic control in patients
with type 2 diabetes mellitus. Chin Med J (Engl). 132:984–986.
2019.PubMed/NCBI View Article : Google Scholar
|
36
|
Gul K, Nas S, Ozdemir D, Gumus M, Ersoy R
and Cakir B: CA 19-9 level in patients with type 2 diabetes
mellitus and its relation to the metabolic control and
microvascular complications. Am J Med Sci. 341:28–32.
2011.PubMed/NCBI View Article : Google Scholar
|
37
|
Adachi M, Sekine T, Umemoto A, Tsukikawa
S, Imai K and Yachi A: Mechanism of clearance of circulating CA19-9
in rats. Tumour Biol. 11:51–58. 1990.PubMed/NCBI View Article : Google Scholar
|
38
|
Al-Tonsi AA, Abdel-Gayoum AA and Saad M:
The secondary dyslipidemia and deranged serum phosphate
concentration in thyroid disorders. Exp Mol Pathol. 76:182–187.
2004.PubMed/NCBI View Article : Google Scholar
|
39
|
Xu M, Li Y, Zhao W, Song X, Gan G, Li B
and Zhou X: Association between admission prothrombin time activity
and hospital readmission in heart failure: A retrospective study.
Clin Chim Acta. 548(117463)2023.PubMed/NCBI View Article : Google Scholar
|
40
|
Lai M, Peng H, Wu X, Chen X, Wang B and Su
X: IL-38 in modulating hyperlipidemia and its related
cardiovascular diseases. Int Immunopharmacol.
108(108876)2022.PubMed/NCBI View Article : Google Scholar
|
41
|
Xu DM, Li Q, Yi JX, Cai XJ, Xie L, Fang W,
Qiu JF, Xu CW, He CL, Xu XR, et al: Investigation of lymphocyte
subsets in peripheral blood of patients with dyslipidemia. Int J
Gen Med. 14:5573–5579. 2021.PubMed/NCBI View Article : Google Scholar
|
42
|
Robinson GA, Peng J, Pineda-Torra I,
Ciurtin C and Jury EC: Metabolomics defines complex patterns of
dyslipidaemia in juvenile-SLE patients associated with inflammation
and potential cardiovascular disease risk. Metabolites.
12(3)2021.PubMed/NCBI View Article : Google Scholar
|
43
|
Georgiadis AN, Papavasiliou EC, Lourida
ES, Alamanos Y, Kostara C, Tselepis AD and Drosos AA: Atherogenic
lipid profile is a feature characteristic of patients with early
rheumatoid arthritis: Effect of early treatment-a prospective,
controlled study. Arthritis Res Ther. 8(R82)2006.PubMed/NCBI View
Article : Google Scholar
|
44
|
Yan J, Yang S, Han L, Ba X, Shen P, Lin W,
Li T, Zhang R, Huang Y, Huang Y, et al: Dyslipidemia in rheumatoid
arthritis: The possible mechanisms. Front Immunol.
14(1254753)2023.PubMed/NCBI View Article : Google Scholar
|
45
|
Myasoedova E, Crowson CS, Kremers HM,
Fitz-Gibbon PD, Therneau TM and Gabriel SE: Total cholesterol and
LDL levels decrease before rheumatoid arthritis. Ann Rheum Dis.
69:1310–1314. 2010.PubMed/NCBI View Article : Google Scholar
|
46
|
Dursunoğlu D, Evrengül H, Polat B,
Tanrıverdi H, Çobankara V, Kaftan A and Kılıç M: Lp(a) lipoprotein
and lipids in patients with rheumatoid arthritis: Serum levels and
relationship to inflammation. Rheumatol Int. 25:241–245.
2005.PubMed/NCBI View Article : Google Scholar
|
47
|
Warrington KJ, Kent PD, Frye RL, Lymp JF,
Kopecky SL, Goronzy JJ and Weyand CM: Rheumatoid arthritis is an
independent risk factor for multi-vessel coronary artery disease: A
case control study. Arthritis Res Ther. 7:R984–R991.
2005.PubMed/NCBI View
Article : Google Scholar
|
48
|
Mainieri F, La Bella S and Chiarelli F:
Hyperlipidemia and cardiovascular risk in children and adolescents.
Biomedicines. 11(809)2023.PubMed/NCBI View Article : Google Scholar
|
49
|
Wisse BE: The inflammatory syndrome: The
role of adipose tissue cytokines in metabolic disorders linked to
obesity. J Am Soc Nephrol. 15:2792–2800. 2004.PubMed/NCBI View Article : Google Scholar
|
50
|
Peyronnel C, Totoson P, Martin H and
Demougeot C: Relevance of circulating markers of endothelial
activation for cardiovascular risk assessment in rheumatoid
arthritis: A narrative review. Life Sci. 314(121264)2023.PubMed/NCBI View Article : Google Scholar
|
51
|
Ferreira HB, Melo T, Paiva A and Domingues
MDR: Insights in the role of lipids, oxidative stress and
inflammation in rheumatoid arthritis unveiled by new trends in
lipidomic investigations. Antioxidants (Basel).
10(45)2021.PubMed/NCBI View Article : Google Scholar
|
52
|
Bonacina F, Pirillo A, Catapano AL and
Norata GD: HDL in immune-inflammatory responses: Implications
beyond cardiovascular diseases. Cells. 10(1061)2021.PubMed/NCBI View Article : Google Scholar
|
53
|
Kreiner FF, Kraaijenhof JM, von Herrath M,
Hovingh GKK and von Scholten BJ: Interleukin 6 in diabetes, chronic
kidney disease, and cardiovascular disease: Mechanisms and
therapeutic perspectives. Expert Rev Clin Immunol. 18:377–389.
2022.PubMed/NCBI View Article : Google Scholar
|
54
|
Leclercq G, Servera LA, Danilin S,
Challier J, Steinhoff N, Bossen C, Odermatt A, Nicolini V, Umaña P,
Klein C, et al: Dissecting the mechanism of cytokine release
induced by T-cell engagers highlights the contribution of
neutrophils. Oncoimmunology. 11(2039432)2022.PubMed/NCBI View Article : Google Scholar
|
55
|
Ou Q, Power R and Griffin MD: Revisiting
regulatory T cells as modulators of innate immune response and
inflammatory diseases. Front Immunol. 14(1287465)2023.PubMed/NCBI View Article : Google Scholar
|
56
|
Bonfigli AR, Protic O, Olivieri F,
Montesanto A, Malatesta G, Di Pillo R and Antonicelli R: Effects of
a novel nutraceutical combination (BruMeChol™) in subjects with
mild hypercholesterolemia: Study protocol of a randomized,
double-blind, controlled trial. Trials. 21(616)2020.PubMed/NCBI View Article : Google Scholar
|
57
|
Alanazi A: Clinicians' views on using
artificial intelligence in healthcare: Opportunities, challenges,
and beyond. Cureus. 15(e45255)2023.PubMed/NCBI View Article : Google Scholar
|
58
|
Lalo R, Zekja I and Kamberi F: Association
of cardiovascular disease risk and health-related behaviors in
stroke patients. Int J Environ Res Public Health.
20(3693)2023.PubMed/NCBI View Article : Google Scholar
|
59
|
Michos ED, McEvoy JW and Blumenthal RS:
Lipid management for the prevention of atherosclerotic
cardiovascular disease. N Engl J Med. 381:1557–1567.
2019.PubMed/NCBI View Article : Google Scholar
|
60
|
Damen JA, Hooft L, Schuit E, Debray TP,
Collins GS, Tzoulaki I, Lassale CM, Siontis GC, Chiocchia V,
Roberts C, et al: Prediction models for cardiovascular disease risk
in the general population: Systematic review. BMJ.
353(i2416)2016.PubMed/NCBI View Article : Google Scholar
|
61
|
Ornish D, Scherwitz LW, Billings JH, Brown
SE, Gould KL, Merritt TA, Sparler S, Armstrong WT, Ports TA,
Kirkeeide RL, et al: Intensive lifestyle changes for reversal of
coronary heart disease. JAMA. 280:2001–2007. 1998.PubMed/NCBI View Article : Google Scholar
|
62
|
Kreisberg RA and Oberman A: Medical
management of hyperlipidemia/dyslipidemia. J Clin Endocrinol Metab.
88:2445–2461. 2003.PubMed/NCBI View Article : Google Scholar
|
63
|
Liu T, Qiu B, Zhang C, Deng M, Liang Z and
Qi Y: Health-related quality of life in pilots of a Chinese
commercial airline. Arch Environ Occup Health. 76:511–517.
2021.PubMed/NCBI View Article : Google Scholar
|
64
|
Garg A and Radhakrishnan S: Pediatric
hyperlipidemia. Indian Heart J. 76 (Suppl 1):S104–S107.
2024.PubMed/NCBI View Article : Google Scholar
|
65
|
Joint Committee on the Chinese Guidelines
for Lipid Management. Chinese guidelines for lipid management
(2023). Zhonghua Xin Xue Guan Bing Za Zhi. 51:221–255.
2023.PubMed/NCBI View Article : Google Scholar : (In Chinese).
|
66
|
Bernier AV, Sentner CP, Correia CE,
Theriaque DW, Shuster JJ, Smit GPA and Weinstein DA: Hyperlipidemia
in glycogen storage disease type III: Effect of age and metabolic
control. J Inherit Metab Dis. 31:729–732. 2008.PubMed/NCBI View Article : Google Scholar
|