Objective To investigate the effect of different sputum suction methods on the incidences of pulmonary infections in patients with mechanical ventilation.Methods Four hundred and sixty-six patients with mechanical ventilation were randomly divided into study group(n=219)and control group(n=247).The two groups were treated with continued balloon filling and airway humidification.Besides,the control group received conventional open sputum suction and the study group closed continuous negative pressure sputum suction.The two groups were compared in terms of incidence of pulmonary infections.Result The incidence of the study group(8.2%)was significantly lower than that of the control group(14.6%)(χ2=4.58,P<0.05).Conclusion Compared with the traditional open conventional sputum suction method,closed continuous negative pressure sputum suction may be more effective in reducing the incidence of pulmonary infection in patients with mechanical ventilation.

Objective To explore the application effects of evidence-based nursing in percutaneous endoscopic gastrostomy ( PEG ) postoperative enteral nutrition and the effects of prevention and treatment of complications. Methods A retrospective and prospective cohort study method was adopted. The control group was composed of 58 cases of PEG enteral nutrition patients, on whom evidence-based nursing was not conducted before January 2013, while the intervention group was composed of 60 cases of PEG enteral nutrition patients, on whom evidence-based nursing was conducted after January 2013. Intervention effects of nursing were compared and analyzed between two groups. Results The incidence of complications in the intervention group (11. 67%) was significantly lower than that of the control group (43. 10%) (P<0. 01), and the incidence of infectious complications in the intervention group (5. 00%) was significantly lower than that of the control group (20.69%) (P<0. 01). There was no significant association between feeding time and complications (P >0. 05);there was significant association between ways of nutrition infusion and replacement rate of skin dressing (P<0. 01). Conclusions Application of evidence-based nursing in postoperative enteral nutrition of PEG patients can effectively prevent complications from happening, promote recovery of patients′ gastrointestinal function and overall nutritional status, and eventually shorten the time of hospitalization.

Objective To compare the nursing effect of the percutaneous endoscopic gastrostomy ( PEG) and nasal feeding in the patients with severe traumatic brain injury .Methods Eighty patients with severe traumatic brain injury from May 2010 to May 2013 were chosen and randomly divided into the PEG group and the nasal feeding group .The PEG group received the nutritional therapy through the PEG , and the nasal feeding group received the nutritional therapy through the nasal feeding .The prognosis was evaluated by the Glasgow outcome score ( GOS ) before discharge , and the complication was compared between two groups . Results The cases of the good score of GOS in the PEG group were 29 cases, and were 17 cases in the nasal feeding group, and the difference was statistically significant (χ2 =7.3657,P<0.01).The average days of hospital stays were (32.41 ±3.27) d in the PEG group, and were (38.16 ±5.33) d in the nasal feeding group, and the difference was statistically significant (t =5.816,P <0.01).The cases of reflux, gastric mucosal erosion and aspiration pneumonia were respectively 12, 7, 13 cases in the PEG group, and were lower than those of the nasal feeding group , and the differences were statistically significant (χ2 =4.1779,4.9428, 12.8321, respectively;P<0.05).Conclusions The value of PEG is higher than that of the nasal feeding in the nursing of the patients with severe traumatic brain injury .

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.