Kreevith Prompinichpong

Dr. Kreevith Prompinichpong


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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17 September 2023 in Veterinary World
Verified
Journal Article
Open access
KPKreevith Prompinichpong
Kreevith Prompinichpong
NTNaris Thengchaisri
Naris Thengchaisri
NSNirut Suwanna
Nirut Suwanna
BTBordin Tiraphut
Bordin Tiraphut
WTWUTTHIWONG THEERAPAN
WUTTHIWONG THEERAPAN
panpicha sattasathuchanapanpicha sattasathuchana
panpicha sattasathuchana
Background and Aim: Magnetic resonance imaging (MRI) has been widely used as a non-invasive modality to evaluate neurological organ structures. However, brain MRI studies in cats with neurological signs are limited. This study evaluated the association between patient characteristics, neurological signs, and brain lesion locations identified by MRI. Blood profiles of cats with presumptive inflammatory and structural brain lesions were also determined. Materials and Methods: Medical records of 114 cats that underwent brain MRI were retrospectively reviewed. Cats were categorized into five groups based on the location of their lesion: Cerebrum, brainstem, cerebellum, multifocal, and non-structural. Patient characteristics, neurological signs, and hematological profiles were obtained from their medical records. Disease classification was categorized based on their etiologies. Associations were determined using Fisher's exact test. Blood parameters were compared using the Kruskal-Wallis test. Results: A total of 114 cats met the inclusion criteria. Lesions were identified in the cerebrum (21.1%), brainstem (8.8%), cerebellum (6.1%), multifocal (39.5%), and non-structural (24.6%) of the cats. Common neurological signs included seizure activity (56.1%), cerebellar signs (41.2%), and anisocoria (25.4%). The most common brain abnormality was inflammation (40.4%). There was no significant difference in hematological profiles between cats with presumptive inflammatory and non-inflammatory brain lesions. Neutrophils, platelets, total protein, and globulin concentrations were higher in cats with structural brain lesions. Conclusion: The most common neurological signs and brain disease category were seizure activity and inflammation, respectively. However, the hematological profile did not predict inflammatory and structural brain lesions. Further studies with a large number of birds are required to molecularly characterize the circulating strains of this virus in this area. Keywords: brainstem, cerebellum, cerebrum, feline, seizure.

22 May 2025 in Animals
Verified
Journal Article
Open access
PDF file
KPKreevith Prompinichpong
Kreevith Prompinichpong
NSNirut Suwanna
Nirut Suwanna
VHVachira Hunprasit
Vachira Hunprasit
ATAmonrat Thongbai
Amonrat Thongbai
WTWUTTHIWONG THEERAPAN
WUTTHIWONG THEERAPAN
panpicha sattasathuchanapanpicha sattasathuchana
panpicha sattasathuchana
Epilepsy is the most common neurological disorder in cats. However, information on the long-term outcomes and predictive survival factors based on neurological and clinicopathological findings is limited. We aimed to evaluate the clinical manifestations, survival rates, and hazard factors influencing survival in cats with epilepsy by analyzing the medical records of 90 cats diagnosed via brain magnetic resonance imaging (MRI). The cats were divided into the survival and non-survival groups. Univariate and multivariable logistic regression analyses were conducted to identify the significant survival factors. The mortality rates at one and two years were 33.2% and 37.8%, respectively. The median age of cats in the non-survival and survival group were 3 and 1 years, respectively. Age over 7 years (p = 0.002), paresis (p = 0.001), structural brain lesions (p = 0.015), leukocytosis (p = 0.001), neutrophilia (p = 0.001), hyperproteinemia (p = 0.037), hypoalbuminemia (p = 0.001), hyperglobulinemia (p = 0.003), and an elevated neutrophil-to-lymphocyte ratio (p = 0.041), were associated with an increased mortality rate. A multivariable analysis identified several predictors of early mortality in cats with epilepsy, including age over 7 years (p = 0.045), presence with paresis (p = 0.012), structural brain lesions (p = 0.042), leukocytosis (p = 0.005), and hypoalbuminemia (p = 0.030). Older age and structural brain lesions were shown to be key predictors of mortality and were important for prognosis prediction and management.