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Objective:To develop a diagnostic analysis software for determining the type of acid-base balance disorder.Methods:Mathematical models were built based on Henderson-Hasselbalch equations and compensation formulas, to determine the important parameters of acid-base balance disorder, and to develope acid-base balance disorder analysis process. The software was compiled using the Visual Basic.NET programming language, and the installation package was generated after debugging. Acid-base balance disorder cases were searched by PubMed, Wanfang and CNKI databases from 1980 to 2015, and the blood gas parameters [pH, arterial partial pressure of carbon dioxide (PaCO 2), HCO 3- and anion gap (AG)] and the types of acid-base imbalance (literature results) were recorded. All cases were reanalyzed by software and the type of acid-base balance disorder was determined (software diagnostic type). Kappa-test and McNemar-test were performed for the two diagnostic results. Results:The "four parameters-four steps" analysis method was used as the analysis process to judge the types of acid-base balance disorder. "Four parameters" included pH, PaCO 2, HCO 3- and AG. "Four steps" were outlined by following aspects:①according to the pH, combined with PaCO 2 and HCO 3-, the primary types of acid-base balance disorder was determined; ② according to the compensation situation, double mixed acid-base balance disorder (DABD) was determined; ③according to AG value, three mixed acid-base disorders (TABD) were determined; ④ the ratio of ΔAG↑/ΔHCO 3-↓ was also calculated to determine whether there was normal AG metabolic acidosis or metabolic alkalosis. The software had the characteristics of simple interface, convenient operation, rapid judgment, and comprehensive analysis. It could judge all acid-base balance disorder types excepted "AG normal metabolic acidosis combined metabolic alkalosis". The software was used to reanalyze 112 cases of acid-base balance disorder reported in the literature, with a consistent rate of 87.50% and better consistency of the diagnostic results (Kappa test: κ = 0.84, P < 0.01; McNemar test: χ2 = 0.87, P = 0.65). Conclusion:The software can be used as an important tool to judge the type of acid-base balance disorder, and provide clinicians with diagnostic reference, which have practical value and application prospect.
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Objective To investigate the predictive value of plasma gelsolin in the prognosis of patients with ST-sgement elevation myocardial infarction ( STEMI ) and undergone primary percutaneous coronary intervention ( PCI ) .Methods The study included 206 patients with STEMI and undergone primary PCI, 148 patients with stable angina pectoris and received elective PCI and 80 healthy volunteer as the health population (NP) control.Blood samples were taken at admission on day 1, 3, 5, 7 and 9 to determine the plasma gelsolin level .Patients′baseline clinical characteristics , blood biochemistry tests results , details of operation and their cardiovascular risk factors were recorded .Major adverse cardiovascular events (MACE) within one year were recorded.Results (1) Compared to the stable angina group and the NP group, the level of plasma gelsolin of STEMI patients were obviously decreased at various time points ( all P<0.05 ) .There were no statistical differences between the stable angina group and the NP group .( 2 ) Patients with STEMI were catagorized into MACE group (n=78) and non-MACE group (n=128) according their follow up record in 1 year.The level of plasma gelsolin in patients with MACE were lower than the non-MACE group ( P <0.05 ) with the minimum value detected on day 7.Among patients complicated with MACE (n=78), they were further devided into the deceased group (n=18) and the survival group (n=60).Plasma gelsolin levels were lower in the deceased group with satistical differences found on day 5, 7 and 9.(3) Single factor Logistic regression analysis showed that the level of plasma gelsolin on day 7 was independent risk factor of MACE within one year ( P =0.014 ) .( 4 ) Setting the cutoff value of plasma gelsolin on day 7 as 21.7 mg/L,the sensitivity and speciticity for the MACE in STEMI patients treated with primary PCI within one year were 82.1%and 81.4%respectively , with the area under the receiver operator characteristic curve ( ROC ) was 0.854 ( 95% confidence interval 0.732 -0.961 , P <0.01 ) . Conclusions Plasma gelsolin levels are correlated with the severity of STEMI lesions and plasma gelsolin can be used as predicting factor of prognosis .
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Comparing the cardiovascular disease in onion-growing region with those in non-onion-growing region, we found that, the people in these two regions are similar in their living standard, economic income and dietary habits and customs. The death rates caused by cardiovascular disease in these two regions were 0.57‰ and 1.67‰ respectively. There were markedly different incidences (p