R. Kh. Gizatullin

R. Kh. Gizatullin

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R. Kh. Gizatullin

Bashkir State Medical University, Ufa, Russian Federation

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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2 May 2020 in Experimental and Clinical Gastroenterology
Verified
Journal Article
Open access
PDF file
RGR. Kh. Gizatullin
R. Kh. Gizatullin
ILI. N. Leiderman
I. N. Leiderman
VSV. U. Sataev
V. U. Sataev
VAV. G. Alyangin
V. G. Alyangin
The aim of our study was to develop a new scale for predicting clinical outcome in newborns with sepsis, taking into account the information about depth of metabolic disorders.Methods. Design of study — retrospective observational single-center study. Medical cards data of 163 newborns with sepsis were included in analysis. To measure the predictive value of the analyzed clinical and laboratory signs we used the Kullback measure. The clinical outcome of the disease was determined as the response function: survived or died.Results. An analysis of the predictive value of the clinical and laboratory parameters of in newborns with sepsis was made, the threshold values of the most informative indicators were developed, which were: the number of blood platelets, the level of total blood protein, body weight and the number of blood neutrophils. The Clinical and Laboratory Condition Index for Newborns scale has been developed, which takes into account the depth of metabolic disorders. ROC analysis (Area Under Curve — 0,723) and the information method (information coefficient 0.992) showed that the Clinical and Laboratory Condition Index score can be used in the intensive care unit to predict the risk negative clinical outcome and evaluate the effectiveness of treatment in infants with organ dysfunction caused by systemic infection.Conclusion. New Clinical and Laboratory Condition Index score scale allows to predict the development of negative outcome of sepsis in newborns taking into account the depth of metabolic disorders in newborns with sepsis.

2 May 2020 in Experimental and Clinical Gastroenterology
Verified
Journal Article
Open access
PDF file
RGR. Kh. Gizatullin
R. Kh. Gizatullin
ILI. N. Leiderman
I. N. Leiderman
AMA. M. Mukhametzyanov
A. M. Mukhametzyanov
VSV. U. Sataev
V. U. Sataev
The aim of our study was to develop a new scale for predicting clinical outcome in newborns with sepsis, taking into account the information about depth of metabolic disorders.Methods. Design of study — retrospective observational single-center study. Medical cards data of 163 newborns with sepsis were included in analysis. To measure the predictive value of the analyzed clinical and laboratory signs we used the Kullback measure. The clinical outcome of the disease was determined as the response function: survived or died.Results. An analysis of the predictive value of the clinical and laboratory parameters of in newborns with sepsis was made, the threshold values of the most informative indicators were developed, which were: the number of blood platelets, the level of total blood protein, body weight and the number of blood neutrophils. The Clinical and Laboratory Condition Index for Newborns scale has been developed, which takes into account the depth of metabolic disorders. ROC analysis (Area Under Curve — 0,723) and the information method (information coefficient 0.992) showed that the Clinical and Laboratory Condition Index score can be used in the intensive care unit to predict the risk negative clinical outcome and evaluate the effectiveness of treatment in infants with organ dysfunction caused by systemic infection.Conclusion. New Clinical and Laboratory Condition Index score scale allows to predict the development of negative outcome of sepsis in newborns taking into account the depth of metabolic disorders in newborns with sepsis.

25 December 2018 in Annals of Critical Care
Verified
Journal Article
Open access
RGR. Kh. Gizatullin
R. Kh. Gizatullin
PMPetr Ivanovich Mironov
Petr Ivanovich Mironov
One of the key issues in the fight against sepsis is the early detection of its predictors. The aim of the work is to identify predictors the development of neonatal sepsis. Methods. Design-retrospective, observational, single-center. The development included 163 newborns with sepsis, 34 died. The Kulbak measure was used to assess the informativeness of the studied clinical and laboratory variables. The function of response was taken as the outcome of the disease: survived or died. Results. The analysis of the informative value of clinical and laboratory parameters in newborns on the risk of development of lethal outcome. Conclusion. The predictors of early neonatal sepsis include indicators of the number of blood platelets, total blood protein, body weight and the number of blood neutrophils. Their critical threshold values are also calculated.

1 January 2025 in Neonatology: News, Opinions, Training
Verified
Journal Article
Open access
RGR.KH. Gizatullin
R.KH. Gizatullin
RIR.G. Idrisova
R.G. Idrisova
RBR.Z. Bogdanova
R.Z. Bogdanova
TPT.A. Potekhina
T.A. Potekhina
RMR.I. Mingazov
R.I. Mingazov
MSM.P. Shokurova
M.P. Shokurova
Нутритивная пауза перед неонатальным скринингом у детей в отделении интенсивной терапии: систематический обзор