Threebhorn Kamlungkuea

Dr. Threebhorn Kamlungkuea

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Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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1 February 2022 in International Journal of Women's Health
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TKThreebhorn Kamlungkuea
Threebhorn Kamlungkuea
JMJittima Manonai
Jittima Manonai
PSPaibul Suriyawongpaisal
Paibul Suriyawongpaisal
WHWirada Hansahiranwadee
Wirada Hansahiranwadee
Purpose: This study was proposed to evaluate factors predicting a successful vaginal delivery following labor induction and develop induction prediction model in term pregnancy among Thai pregnant women. Patients and Methods: We conducted a retrospective cohort study using electronic medical records of 23,833 deliveries from April 2010 to July 2021 at tertiary care university hospital in Bangkok, Thailand. Univariate regression was performed to identify the association of individual parameters to successful vaginal delivery. Multiple logistic regression analysis of all possible variables from univariate analysis was performed to develop a prediction model with statistically significant of p value < 0.05. Results: Of the total 809 labor-induced pregnancies, the vaginal delivery rate was 56.6%. Among predicting variables, history of previous vaginal delivery (aOR 5.75, 95% CI 3.701– 8.961), maternal delivery BMI < 25 kg/m2 (aOR 2.010, 95% CI 1.303– 3.286), estimated fetal weight < 3500 g (aOR 2.193, 95% CI 1.246– 3.860), and gestational age ≤ 39 weeks (aOR 1.501, 95% CI 1.038– 2.173) significantly increased the probability of a successful vaginal delivery following labor induction. The final prediction model has been internally validated. Model calibration and discrimination were satisfactory with Hosmer–Lemeshow test P = 0.21 and with AUC of 0.756 (95% CI 0.695– 0.816). Conclusion: This study determined the pragmatic predictors for successful vaginal delivery following labor induction comprised history of previous vaginal delivery, maternal delivery BMI < 25 kg/m2, estimated fetal weight < 3500 g, and gestational age ≤ 39 weeks. The final induction prediction model was well-performing internally validated prediction model to estimate individual probability when undergoing induction of labor. Despite restricted population, the predicting factors and model could be useful for further prospective study and clinical practice to improve induction outcomes.

20 June 2022 in BMC Infectious Diseases
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PCPiya Chaemsaithong
Piya Chaemsaithong
WLWaranyu Lertrut
Waranyu Lertrut
TKThreebhorn Kamlungkuea
Threebhorn Kamlungkuea
PSPitak Santanirand
Pitak Santanirand
ASArunee Singsaneh
Arunee Singsaneh
PPPisut Pongchaikul
Pisut Pongchaikul
Background: Intra-amniotic infection has a strong causal association with spontaneous preterm birth and preterm prelabor rupture of membranes (PPROM). The most common route of intra-amniotic infection is the ascending pathway in which microorganisms from the vagina gain access to the amniotic cavity. Distant microorganisms such as those from the oral cavity have been reported in intra-amniotic infection through hematogenous spreading.Case presentation: A 31-year-old gravida 1, para 0 Thai woman at 33+6 weeks’ gestation presented with leakage of vaginal fluid and irregular uterine contraction. She developed fever at 4 h after admission and was later diagnosed with acute chorioamnionitis. A Cesarean section was performed to terminate pregnancy. In addition to a blood culture, the cultures of amniotic fluid, vaginal and chorioamniotic membrane swabs were positive forStreptococcus mitiswith identical susceptibility profiles. After the delivery and antibiotic prescription, oral examination showed dental caries and chronic periodontitis.Conclusions: This is the first case report demonstrating maternal septicemia and intra-amniotic infection caused byS. mitiswhich might be attributed to periodontitis in women presenting with preterm PROM. We highlighted the association of periodontal disease and preterm labor/PROM syndrome. Oral cavity examination should be included in the prenatal care to ensure good dental hygiene.

19 March 2026 in Antioxidants
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NNNatnipa Natnipa
Natnipa Natnipa
SLSuchaya Luewan
Suchaya Luewan
TKThreebhorn Kamlungkuea
Threebhorn Kamlungkuea
TTTheera Tongsong
Theera Tongsong
Preeclampsia, affecting 3–8% of pregnancies worldwide, remains a leading cause of maternal and perinatal morbidity and mortality. This review synthesizes current molecular, immunological, and hemodynamic evidence to clarify the central role of oxidative stress in the pathogenesis of preeclampsia. Placental oxidative stress, resulting from an imbalance between reactive oxygen species (ROS) generation and antioxidant defenses, secondary to placental hypoxia due to various etiologies especially impaired spiral artery remodeling, drives mitochondrial dysfunction in trophoblasts, ischemia–reperfusion injury, inflammatory pathway activation, and disruption of angiogenic homeostasis, thereby promoting systemic inflammation. Key regulatory pathways, including Nrf2/HO-1, NF-κB, PI3K/Akt, and HIF-1α, together with biomarkers such as malondialdehyde, 8-isoprostane, and the sFlt-1/PlGF ratio, characterize this redox imbalance. Although experimental studies demonstrate promising effects of targeted antioxidants, mitochondria-directed agents, and pathway-specific modulators, clinical translation remains limited, as non-specific antioxidants such as vitamins C and E have failed to prevent preeclampsia. Future advances will likely depend on mechanism-based therapies initiated early in pregnancy and tailored to the disease subtype and biomarker profiles. Collectively, this review provides an integrated mechanistic framework and highlights critical knowledge gaps that must be addressed to enable the development of effective preventive and therapeutic interventions for preeclampsia.

8 October 2025 in Nutrients
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TKThreebhorn Kamlungkuea
Threebhorn Kamlungkuea
CKChutima Kaewchung
Chutima Kaewchung
NSNetjantra Sublon
Netjantra Sublon
NTNuchpawee Tanyongmasakul
Nuchpawee Tanyongmasakul
SBSurangfahom Butsart
Surangfahom Butsart
TTTheera Tongsong
Theera Tongsong
Background and Objectives: Iron deficiency anemia (IDA) is the most common cause of anemia in pregnant women and can adversely affect both maternal and fetal health. This study aimed to compare pregnancy outcomes between women with and without IDA in Northern Thailand, a region with a high prevalence of anemia. Methods: A retrospective cohort study was conducted on all singleton pregnancies attending antenatal care (ANC) and/or delivering at Maharaj Nakorn Chiang Mai Hospital between 2003 and 2024. The study group consisted of women diagnosed with IDA in the first half of pregnancy, while the control group comprised women with low-risk pregnancies during the same study period. Results: Of the 38,979 pregnancies, after applying exclusion criteria, 634 pregnancies (2.2%) with laboratory-confirmed IDA and 28,132 controls remained available for analysis. Women with IDA had significantly higher parity, lower socioeconomic status, and lower hemoglobin levels throughout pregnancy. Multivariate regression analysis revealed that IDA was significantly associated with increased risks of preterm birth (adjusted odds ratio; aOR 1.04; 95% CI: 1.01–1.07), fetal growth restriction (FGR) (aOR 1.02; 95% CI: 1.00–1.04), and low birth weight (aOR 1.05; 95% CI: 1.03–1.08). Conclusions: IDA, even with treatment, may still slightly increase the risk of adverse pregnancy outcomes, particularly preterm birth, fetal growth restriction, and low birth weight. The residual risk likely reflects incomplete correction of anemia. Optimizing management requires strict compliance, judicious use of parenteral iron, and attention to coexisting nutritional deficiencies, underscoring the need for closer monitoring and improved care strategies.

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BPBenchaya Phanthong
Benchaya Phanthong
PCPIMLAK CHAROENKWAN
PIMLAK CHAROENKWAN
TKThreebhorn Kamlungkuea
Threebhorn Kamlungkuea
SLSuchaya Luewan
Suchaya Luewan
TTTheera Tongsong
Theera Tongsong
Background/Objectives: Red blood cell (RBC) parameters are routinely used to screen for α- and β-thalassemia traits as part of prenatal diagnosis for severe fetal thalassemia in countries with a high prevalence of the disease. In clinical practice, the same cut-off values for these parameters are applied to both females and males. However, given that the normal reference ranges for some RBC parameters differ significantly between sexes, sex-specific cut-off values may be more appropriate, especially in combination. To date, the effectiveness of RBC indices in males for predicting α- and β-thalassemia traits has not been evaluated. The objectives of this study are to assess the diagnostic performance of individual and combined RBC parameters in detecting α0-thalassemia traits among non-anemic males. Methods: This diagnostic study is a secondary analysis of prospectively collected data from our project on prenatal control of severe thalassemia. The study population comprised male partners of pregnant women who underwent thalassemia screening during their first antenatal visit. RBC parameters, including hemoglobin (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), red cell distribution width (RDW), and RBC count, were measured for each participant. Carrier status for the α0-thalassemia Southeast Asian (SEA) genotype was confirmed by using a polymerase chain reaction (PCR)-based method. The diagnostic performance of each RBC parameter and their combinations, based on predictive models generated using logistic regression, was evaluated and compared using receiver operating characteristic (ROC) curves. Results: A total of 486 Thai males were recruited for the study, including 137 individuals with the α0-thalassemia trait and 349 with a normal α-thalassemia genotype (control group). All RBC parameters, except for Hct, differed significantly between the two groups. Among the individual indices, MCH exhibited the highest diagnostic accuracy, followed by MCV, with areas under the curve (AUCs) of 0.981 and 0.973, respectively. An MCH cut-off value of 26 pg and an MCV cut-off value of 80 fL provided a sensitivity of 100% for both indices, with specificities of 88.5% and 86.8%, respectively. The combination predictive model provided the best diagnostic performance, achieving an AUC of 0.987, which was slightly but significantly higher than that of any individual parameter. This model yielded a sensitivity of 100% and a significantly higher specificity of 90.8% at a cut-off probability of 7.0%. Conclusions: MCH and MCV demonstrated excellent screening performance for identifying α0-thalassemia carriers in males. However, the combination model exhibited even greater accuracy while reducing the false-positive rate. Implementing this model could minimize the need for unnecessary PCR testing, leading to substantial cost savings.

Verified
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TKThreebhorn Kamlungkuea
Threebhorn Kamlungkuea
KTKuntharee Traisrisilp
Kuntharee Traisrisilp
SLSuchaya Luewan
Suchaya Luewan
JKJeerawan Klangjorhor
Jeerawan Klangjorhor
DWDuangrurdee Wattanasirichaigoon
Duangrurdee Wattanasirichaigoon
FTFuanglada Tongprasert
Fuanglada Tongprasert
Prenatal whole-genome sequencing (WGS) is a comprehensive genetic test for fetal anomalies, enabling simultaneous detection of aneuploidies, copy number variants (CNVs), single-nucleotide variants (SNVs), small insertions/deletions, structural variants, and regions of absence of heterozygosity. However, its clinical performance, optimal sequencing strategies, and implementation challenges remain incompletely defined. We conducted a narrative review of PubMed-indexed studies (1966–December 2025) evaluating prenatal WGS in fetuses with structural anomalies. Across 29 studies, diagnostic yield ranged from approximately 20% to 40%, influenced by phenotype complexity, sequencing depth, and study design. Low-coverage WGS (≤5×) reliably detected large chromosomal abnormalities with a performance comparable to chromosomal microarray analysis. Moderate-coverage WGS (20–40×) additionally enabled detection of SNVs and structural variants, providing up to 30% incremental diagnostic yield after uninformative standard testing. Turnaround times were typically 14–21 days. Higher sequencing depth increases detection of variants of uncertain significance (0.6% to 35.7%) and secondary/incidental findings (1.6–30.8%). Prenatal WGS offers meaningful diagnostic value but requires careful patient selection, multidisciplinary expertise, and structured pre- and post-test genetic counseling to ensure responsible integration into routine clinical practice, with careful consideration of clinical benefit and economic feasibility.