Yingyos Avihingsanon

Dr. Yingyos Avihingsanon

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Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 September 2022 in Nutrients
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Journal Article
Open access
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WWWannasit Wathanavasin
Wannasit Wathanavasin
ABAthiphat Banjongjit
Athiphat Banjongjit
YAYingyos Avihingsanon
Yingyos Avihingsanon
KPKearkiat Praditpornsilpa
Kearkiat Praditpornsilpa
KTKriang Tungsanga
Kriang Tungsanga
PSPaweena Susantitaphong
Paweena Susantitaphong
Sarcopenia in end-stage kidney disease patients requiring dialysis is a frequent complication but remains an under-recognized problem. This meta-analysis was conducted to determine the prevalence of sarcopenia and explored its impacts on clinical outcomes, especially cardiovascular events, and mortality in dialysis patients. The eligible studies were searched from PubMed, Scopus, and Cochrane Central Register of Controlled trials up to 31 March 2022. We included studies that reported the interested outcomes, and the random-effects model was used for analysis. Forty-one studies with 7576 patients were included. The pooled prevalence of sarcopenia in dialysis patients was 25.6% (95% CI 22.1 to 29.4%). Sarcopenia was significantly associated with higher mortality risk (adjusted OR 1.83 (95% CI 1.40 to 2.39)) and cardiovascular events (adjusted OR 3.80 (95% CI 1.79 to 8.09)). Additionally, both low muscle mass and low muscle strength were independently related to increased mortality risk in dialysis patients (OR 1.71; 95% CI (1.20 to 2.44), OR 2.15 (95% CI 1.51 to 3.07)), respectively. This meta-analysis revealed that sarcopenia was highly prevalent among dialysis patients and shown to be an important predictor of cardiovascular events and mortality. Future intervention research to alleviate this disease burden in dialysis patients is needed.

31 December 2018 in Kidney Research and Clinical Practice
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Journal Article
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JVJakapat Vanichanan
Jakapat Vanichanan
SUSuwasin Udomkarnjananun
Suwasin Udomkarnjananun
YAYingyos Avihingsanon
Yingyos Avihingsanon
KJKamonwan Jutivorakool
Kamonwan Jutivorakool
Jakapat Vanichanan, Suwasin Udomkarnjananun, Yingyos Avihingsanon, Kamonwan Jutivorakool. Kidney Research and Clinical Practice 2018;37:323-37. https://doi.org/10.23876/j.krcp.18.0063

21 November 2012 in Arthritis Research & Therapy
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WTWorapot Treamtrakanpon
Worapot Treamtrakanpon
PTPornpen Tantivitayakul
Pornpen Tantivitayakul
TBThitima Benjachat
Thitima Benjachat
PSPoorichaya Somparn
Poorichaya Somparn
WKWipawee Kittikowit
Wipawee Kittikowit
YAYingyos Avihingsanon
Yingyos Avihingsanon
Introduction: BLyS and APRIL are cytokines from the tumor necrosis factor family which play an important role in systemic lupus erythematosus (SLE). Previous works suggested an association between both molecules and SLE disease activity although their correlation with lupus nephritis is not known. We therefore assessed serum BLyS and APRIL in active lupus nephritis patients. Methods: Serum samples from active lupus nephritis and at 6 months post-treatment were obtained. Serum levels of BLyS and APRIL (n = 47) as well as renal mRNA expression were measured. Serum levels of both molecules and clinical data (n = 27) were available at 6 months follow-up. All biopsy-proven lupus nephritis patients were treated with similar immunosuppressive drugs. Results: Serum levels of APRIL were associated with proteinuria (Rs = 0.44, P value < 0.01) and degree of histological activity (Rs = 0.34; P value < 0.05) whereas BLyS levels were associated with complement levels (Rs = 0.46; P value < 0.01) and dosage of immunosuppressant. Interestingly, serum APRIL as well as its intrarenal mRNA levels were associated with resistance to treatment. From the receiver operating characteristic (ROC) analysis, high levels (> 4 ng/mL) of serum APRIL predicted treatment failure with a positive predictive value of 93 percent. Conclusion: APRIL could be a potential biomarker for predicting difficult-to-treat cases of lupus nephritis.

1 June 2009 in Kidney International
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Closed access
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YAYingyos Avihingsanon
Yingyos Avihingsanon
TBThitima Benjachat
Thitima Benjachat
ATAdis Tassanarong
Adis Tassanarong
PSPimpayao Sodsai
Pimpayao Sodsai
VKVipawee Kittikovit
Vipawee Kittikovit
NHNattiya Hirankarn
Nattiya Hirankarn

16 November 2022 in Journal Of Nephrology
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PGPrimploy Greeviroj
Primploy Greeviroj
TLTanat Lertussavavivat
Tanat Lertussavavivat
TTThana Thongsricome
Thana Thongsricome
KTKullaya Takkavatakarn
Kullaya Takkavatakarn
JPJeerath Phannajit
Jeerath Phannajit
PSPaweena Susantitaphong
Paweena Susantitaphong
Background: The worldwide burden of HCV infection among hemodialysis patients has not been systematically examined. Methods: A systematic literature search was conducted in MEDLINE and Scopus to determine the worldwide prevalence of HCV infection, risk factors, and clinical outcomes among hemodialysis patients. Random-effect models and meta-regressions were used to generate pooled estimates and assess heterogeneity. Results: Four hundred and seven studies with 1,302,167 participants were analyzed. The pooled prevalence of HCV infection was 21%. The highest prevalence was observed in Africa (28%) and low-income countries (48.5%). A significant prevalence decline was observed following the publication year and was also inversely related to GDP and total population of each country. Factors associated with HCV positivity included younger age, longer dialysis duration, more blood transfusions, and dialyzer reuse. The pooled unadjusted hazard ratio for all-cause mortality was 1.12 (95% CI 1.03–1.22), and the adjusted hazard ratio was 1.21 (95% CI 1.12–1.30) in HCV-infected compared to non-HCV infected patients. Conclusions: HCV infection among hemodialysis patients is a worldwide shared burden and is associated with a higher risk of death. Avoiding unnecessary blood transfusion and dialyzer reuse should be encouraged to prevent HCV transmission in hemodialysis units.

Verified
Journal Article
Open access
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PPPongpratch Puapatanakul
Pongpratch Puapatanakul
SCSonchai Chansritrakul
Sonchai Chansritrakul
PSPaweena Susantitaphong
Paweena Susantitaphong
TUThornthun Ueaphongsukkit
Thornthun Ueaphongsukkit
SESomchai Eiam-Ong
Somchai Eiam-Ong
YAYingyos Avihingsanon
Yingyos Avihingsanon
There is increasing evidence of a correlation between interferon-inducible protein 10 (IP-10) and disease activity of systemic lupus erythematosus (SLE) and lupus nephritis (LN). We conducted a comprehensive search on IP-10 using MEDLINE, Scopus, and Cochrane electronic databases from the beginning to the end of December 2017. All studies that compared serum and/or urine IP-10 between active SLE/LN patients and any control groups were identified and included in this systematic review and meta-analysis. The mean difference (MD) of IP-10 level among active SLE and LN patients, as well as the correlation of IP-10 with disease activity, were meta-analyzed using a random-effects model. From 23 eligible studies, 15 provided adequate data for meta-analysis. Serum IP-10 was significantly elevated in patients with active SLE compared to non-active SLE patients (MD 356.5 pg/mL, 95% CI 59.6 to 653.4, p = 0.019). On the other hand, the levels of serum IP-10 was not different between active LN and non-active LN. However, serum IP-10 was positively correlated with disease activity like SLE disease activity index (SLEDAI) (pooled r = 0.29, 95% CI 0.22 to 0.35, p < 0.001). Furthermore, urine IP-10 tended to be higher in patients with active LN compared to non-active LN patients but this did not reach statistical significance (MD 3.47 pg/mgCr × 100, 95% CI −0.18 to 7.12, p = 0.06). Nevertheless, urine IP-10 was positively correlated with renal SLEDAI (pooled r = 0.29, 95% CI 0.05 to 0.50, p = 0.019). In conclusion, serum and urine IP-10 levels may be useful in monitoring the disease activity of SLE and LN. Serum IP-10 was correlated with systemic disease whereas urine IP-10 was a useful biomarker for detecting active LN.