Objective:To investigate the clinical application of noninvasive high frequency oscillatory ventilation(nHFOV)and heated humidified high flow nasal cannula(HHHFNC)in sequential ventilator evacuation of preterm infants with very low birth weight with respiratory distress syndrome(RDS).Methods:A total of 88 preterm infants of very low birth weight with RDS were enrolled in the study, who had received endotracheal intubation invasive ventilation and were ready to be replaced by non-invasive ventilation at neonatal intensive care unit(NICU)of Xuzhou Central Hospital from May 2017 to January 2020.All premature infants were routinely treated with caffeine citrate.They were divided into two groups through random number table: nHFOV/HHHFNC group(45 cases)and continuous positive airway pressure(nCPAP)/oxygen hood group(43 cases). nHFOV was given after invasive ventilator removal and HHHFNC transition was followed after nHFOV withdrawal in the nHFOV/HHHFNC group, while nCPAP was given after invasive ventilator removal and oxygen hood was followed after nCPAP withdrawal in the nCPAP/oxygen hood group.The main observation consequences were compared with arterial blood gas indexes after invasive ventilator evacuation, weaning effect and the incidence of related complications.Results:(1)There were no statistically differences between the two groups in terms of gender, gestational age, birth weight, Apgar score at 1 min and 5 min after birth, the number of glucocorticoid usage in 24 h before delivery, the number of pulmonary surfactant usage, invasive ventilation time and RDS grading( P>0.05). (2)The PaO 2, PaCO 2and oxygenation index(OI=100×MAP×FiO 2/PaO 2)of the nHFOV/HHHFNC group at 1 h and 24 h after invasive ventilator removal showed significant difference compared with the nCPAP/oxygen hood group( P<0.05). The differences as the following listed were statistically significant( P<0.05)between the two groups, including the failure rate of invasive ventilation weaning during 72 h [9%(4/45)vs.26%(11/43)], the incidence of frequent apnea [7%(3/45)vs.23%(10/43)], the failure rate of nHFOV and nCPAP noninvasive ventilation weaning [4%(2/45)vs.21%(9/43)], the oxygen-used time [12.02(9.08~12.31)d vs.14.44(11.32~13.26)d] and the incidence of nasal injury [4%(2/45)vs.26%(11/43)]. (3)The time of the first noninvasive ventilation of nHFOV and nCPAP, the incidences of lung air leakage, neonatal necrotizing enterocolitis, grade Ⅲ to Ⅳ intraventricular hemorrhage, above stageⅡretinopathy, bronchopulmonary dysplasia and the mortality rate between the two groups showed no statistical significance( P>0.05). Conclusion:nHFOV and HHHFNC used in the sequential ventilator evacuation of RDS in preterm infants with very low birth weight could improve oxygenation, reduce CO 2retention, improve the success rate of machine weaning and reduce the occurrence of apnea and nasal injury.

Objective:To judge the type of acid-base balance disorder automatically according to the results of arterial blood gas analysis by using the IF function editing formula in an Excel spreadsheet.Methods:The four-step analysis was used to carry out programmatically through establishing acid-base balance disorder analysis process: ① the acid and base types were determined according to pH value and the primary or main type of acid-base balance disorder was determined according to the pH value combined with blood carbon dioxide pressure (PaCO 2), HCO 3- and their change rate; ② the expected compensation formula was selected to determine whether there was mixed acid-base imbalance, according to the primary or main acid-base imbalance type; ③ the potential HCO 3- should be calculated to replace the measured HCO 3- when the primary acid-base imbalance was divided into two parts according to the prior two steps: respiratory acidosis or respiratory alkalosis accompanied with anion gap (AG) increased-metabolic acidosis and compared with the compensatory interval calculated by the predicted compensatory formula for acid or alkali to determine whether there were triple acid-base imbalance (TABD); ④while the following two parts were judged: metabolic acidosis accompanied with AG increased-metabolic acidosis according to the prior two steps, ΔAG↑/ΔHCO 3-↓should be calculated to determine whether there was metabolic alkalosis or metabolic acidosis with normal AG. The results of arterial blood gas analysis were judged by using the editing formula of IF function in Excel 2003 spreadsheet. A total of 96 patients admitted to the department of intensive care unit (ICU) of Xuzhou Central Hospital were enrolled. According to the results of arterial blood gas analysis, the type of acid-base imbalance of patients was judged by both artificial judgment (artificial group) and Excel spreadsheet automatic judgment (Excel spreadsheet group). The artificial group was composed by 2 associate chief physicians from neonatal intensive care unit (NICU) and 1 attending respiratory physician. If the results were inconsistent, the decision should be made after discussion. In the Excel spreadsheet group, data were input by one NICU attending physician and checked by another. The differences in the results and the time spent in judging the type of acid-base imbalance between the two groups were compared. Results:Forty-two types of acid-base imbalance were obtained by using the four-step analysis method and inputting relevant parameters such as pH, PaCO 2, actual HCO 3-, Na +, Cl - and compensation time limited into the Excel spreadsheet for blood gas analysis. Data analyses of 96 patients showed that the accuracy of using Excel spreadsheets to automatically determine the type of acid-base imbalance was higher than artificial group, but there was no statistically significant difference between the two groups [normal and simple acid-base imbalance: 100% (26/26) vs. 100% (26/26), mixed acid-base imbalance: 100% (51/51) vs. 96.08% (49/51), TABD: 100% (19/19) vs. 89.47% (17/19), all P > 0.05], and it took less time to judge the results of blood gas analysis by the Excel spreadsheet group compared with the artificial group (s: normal and simple acid-base imbalance: 31.13±4.70 vs. 74.20±16.53, mixed acid-base imbalance: 31.59±5.49 vs. 138.10±22.26, TABD: 30.98±5.40 vs. 308.40±78.12, all P < 0.01). Conclusion:The automatic judging Excel spreadsheet with blood gas analysis can quickly and accurately determine the type of acid-base imbalance in arterial blood gas analysis.

Objective:To make Excel spreadsheet of arterial blood gas analysis to judge the types of acid-base imbalance quickly and accurately, and guide the clinical treatment of acid-base disorders.Methods:According to the Henderson-Hasselbalch equation, the compensation formula of acid-base imbalance prediction, the theory of acid-base balance and the related research progress, the analysis process of acid-base balance disorder was settled, and the IF function in Microsoft Office Excel 2003 was used to edit the formula to make Excel spreadsheet for arterial blood gas analysis.Once the pH value, artery blood carbon dioxide pressure (PaCO 2), actual bicarbonate (HCO 3-), sodiumion (Na + ), chlorineion (Cl -) and compensatory time-limited parameters were input, the types of acid-base imbalance can be shown.Arterial blood gas analysis of 185 cases from intensive care unit at Xuzhou Central Hospital was determined by Excel spreadsheet group and manual group respectively, the results and time of judging the type of acid-base imbalance were compared between two groups for statistical analysis. Results:The results of acid-base imbalance between two groups were compared, and 42 cases were normal and simple acid-base and the consistent rate was 100%, double acid-base imbalances of 107 cases with the consistent rate of 97.20%, triple acid-base imbalances of 36 cases with the consistent rate of 91.67%.After Kappa consistency test (Kappa value=0.944) and Pair chi-square Test (McNemar-Bowker Test)( P=0.223), the results of two groups were consistent.It took less time to judge the results of normal or simple acid-base imbalance[(32.32±4.26)s vs.(75.88±19.22)s], double acid-base imbalance[(31.28±5.31)s vs.(137.56±37.64)s] and triple acid-base imbalance[(32.98±4.23)s vs.(315.09±89.37)s] by the Excel spreadsheet group compared with the manual group, and the differences were statistically significant ( P<0.01). Conclusion:The automatic judging of Excel spreadsheet for arterial blood gas analysis can quickly and accurately determine the types of acid-base imbalance in arterial blood gas analysis and has more advantages for triple acid and base imbalance especially with simple interface and simple operation.And it can avoid the missing judgment of acid and base imbalance when pH is 7.35 to 7.45.