Objective To explore the influence factors of poor myocardial perfusion in patients with ST-segment elevation myocardial infarction( STEMI) after primary percutaneous coronary intervention(PCI). Methods One hundred and forty-three patients with first STEMI who were on admission from April 2010 to May 2014 and underwent primary PCI within 12 hours were enrolled as our subjects. According to the sum-ST-segment resolution(sumSTR)and TIMI myocardial perfusion grade(TMP)after primary PCI,all patients were divided into well myocardial perfusion group( sumSTR ≥ 50% or TMP 2 - 3 grade)and poor myocardial perfusion group(sumSTR < 50% and TMP 0 - 1 grade). The influence factors between two groups were collected and analyzed,including sex,age,pain to balloon time,blood pressure on admission,left ventricular ejection fraction,leucocyte count,neutrophil ratio(NR),high-sensitivity C-reactive protein(hs-CRP),blood lipid,and the history of hypertension,diabetes mellitus. Results The leucocytes count,NR,hs-CRP in patients of poor myocardial perfusion group were(11. 60 ± 3. 57)× 109 / L,0. 84 ± 0. 06 and 9. 80 ± 11. 37 mg/ L,higher than those in well myocardial perfusion group((9. 51 ± 2. 59)× 109 / L,0. 77 ± 0. 11 and(3. 83 ± 5. 58)mg/ L),and the differences were significant(t = 3. 497,P = 0. 001;t = 3. 390,P = 0. 001;t = 3. 973,P < 0. 001). Multiple linear regression analysis showed that neutrophil ratio was independent risk factor of sumSTR in STEMI patient after primary PCI(P = 0. 000). Conclusion The increase of leucocyte count,NR and hs-CRP are related to the poor myocardial perfusion after primary PCI. The increase of neutrophil ratio is an independent risk factor of poor myocardial perfusion.

OBJECTIVETo observe the effect of sodium bicarbonate combined with ulinastatin on cholinesterase activity for patients with acute phoxim pesticide poisoning.

METHODSA total of 67 eligible patients with acute phoxim pesticide poisoning, Who were admitted to the emeryency department of hospital from March 2011 to February 2014, Acording to different treatments au patients were randomly divided into the conventional treatment group (n=34) and the sodium bicarbonate+ulinastatin group (n=35) . The conventional treatment group were given thorough gastric lavage with water, the sodium bicarbonate + ulinastatin group were given gastric lavage with 2% sodium bicarbonate solution. Both groups were given such treatments as catharsis, administration of oxygen, fluid infusion, diuresis, and antidotes such as atropine and pralidoxime methylchloride. On the basis of comprehensive treatment, people in the sodium bicarbonate+ulinastatin group were given 5% sodium bicarbonate injection and ulinastatin. The clinical effect of the two groups were compared.

RESULTSThe serum cholinesterase activity of the sodium bicarbonate+ulinastatin group was significantly higher than the conventional treatment group from the 5th day, and the difference was statistically significant (P<0.05) . The total atropine dosage, total pralidoxime methylchloride dosage and hospitalization days were better than the conventional treatment group, and the differences were statistically significant (P<0.05) . The difference in the time of atropinization between the two groups was not statistically significant (P>0.05) . The results of arterial blood pH, HCO3- of the sodium bicarbonate + ulinastatin group were higher than the conventional treatment group, and the difference of HCO3- at the 10th day was statistically significant (P<0.05) .

CONCLUSIONSSodium bicarbonate combined with ulinastatin can improve the therapeutic effect and reduce complications in the treatment of acute phoxim pesticide poisoning, and have beneficial effects on the recovery of cholinesterase activity.

Atropine ; therapeutic use ; Cholinesterases ; metabolism ; Glycoproteins ; therapeutic use ; Humans ; Organophosphate Poisoning ; drug therapy ; Organothiophosphorus Compounds ; poisoning ; Pesticides ; poisoning ; Pralidoxime Compounds ; therapeutic use ; Sodium Bicarbonate ; therapeutic use

Objective To evaluate the difference and correlation of 24-hour energy expenditure in patients with multiple trauma receiving mechanical ventilation predicted by indirect calorimetry (IC) and HB formula. Methods 140 patients with multiple trauma receiving mechanical ventilation admitted to intensive care unit (ICU) of the General Hospital of Ningxia Medical University from December 1st, 2016 to August 31st, 2017 were enrolled. The 24-hour energy expenditure of patients was repeatedly measured at 1, 3, 5, and 7 days after ICU admission by IC method, and the 24-hour energy expenditure measured by IC method was used as the "gold standard" to calculate the 24-hour kilogram body weight energy expenditure. The 24-hour energy expenditure value measured by IC method was compared with the 24-hour energy expenditure predicted value calculated by HB formula method, the consistency of the two measurement methods was detected by Bland-Altman method, and the correlation between the two measurement methods was analyzed by Pearson method and the linear equation was fitted. Results The 24-hour energy expenditure of patients at 1, 3, 5 and 7 days after ICU was repeatedly measured by IC method for 501 times, and there was no significant difference in 24-hour energy expenditure (kJ/d: 8 163.1±1 599.4, 8 221.1±1 694.7, 8 445.8±1 756.4, 8 707.0±1 820.7, respectively, F = 2.451, P = 0.063) and 24-hour kilogram body weight energy expenditure (kJ·kg-1·d-1: 120.5±18.9, 121.4±19.7, 122.7±19.3, 121.4±19.3, respectively, F = 0.252, P = 0.860) at each time point, indicating that the first week of multi-injury patients had no significant changes in energy metabolism. The consistency between the 24-hour energy expenditure measured by IC method on the first day [(8 163.1±1 599.4) kJ/d] and that predicted by HB formula method [(6 568.8±782.0) kJ/d] was analyzed. The results showed that there was significant bias between the two methods, with an average bias of -(1 591.8±121.4) kJ/d, but the correlation analysis showed that there was a linear correlation between them (r = 0.439, P = 0.000), using one-way regression, the fitted linear equation was Y = 2 270.5+0.897X (X was 24-hour energy expenditure predicted by the HB formula). Conclusions The energy metabolism of patients with multiple trauma receiving mechanical ventilation is not obvious within 1 week. The HB formula method underestimates the 24-hour energy expenditure of patients. The prediction formula can be used to correct the HB formula and further to improve the accuracy of predicting the 24-hour energy consumption of patients.

objective:To evaluate the difference 24h energy expenditure in patients with multiple trauma mechanical ventilation predicted by indirect calorimetry (IC) and HB formula. To explore the correlation between energy expenditure and Injury Severity Scoring (ISS) in patients with multiple trauma, and to predict the stress coefficient to improve the accuracy of HB prediction.Methods:A total of 152 patients with multiple trauma receiving mechanical ventilation were included in the ICU of the General Hospital of Ningxia Medical University during December 1st, 2016 to August 31st, 2018. As a research object, The IC method and the HB method were used to simultaneously measure the patient's 24h energy expenditure, and the difference between the two measurement methods was compared. The 24h energy consumption measured by the IC method was used as the "gold standard", and the 24h body weight energy expenditure per kilogram was calculated; Grouped according to the ISS score, compared 24h energy consumption with 24h body weight energy expenditure per kilogram. The Bland-Altman method was used to test the consistency of the two measurements. The two groups were compared using t test, the correlation was analyzed by pearson correlation, and the regression equation was linearly calculated by linear regression.Results:There was a significant bias between the IC method and the HB method in measuring the 24h energy expenditure of patients with multiple trauma, with an average bias of 394.0± 54.0Kcal/d. The 24h energy consumption and 24h body weight energy expenditure per kilogram in the severe injured group were significantly higher than those in the moderate injury group ( P<0.05). The stress coefficient was calculated, The stress coefficient of the HB method associated with the ISS using the one-way regression was Y=0.770+0.018×ISS. Conclusion:The HB method significantly underestimates the 24h energy expenditure of patients with multiple trauma . In order to improve the accuracy of the HB method to predict the 24h energy consumption of patients with multiple injuries, The HB method can be corrected using the stress coefficient associated with the ISS score, Y = (0.770 + 0.018 × ISS) × HB method.