AIM: To investigate the efficacy and safety of ZKY001 eye drops with different concentrations in the treatment of corneal epithelial defects(CED)after primary pterygium excision.METHODS: This was a multicenter, randomized, double-blinded, placebo-controlled phase II clinical trial. From March 15, 2022 to November 14, 2022, patients with primary pterygium who had undergone surgery were recruited from 12 tertiary hospitals across China. Using block randomization, 178 patients(178 eyes)were randomly assigned to 3 groups in a 1:1:1 ratio: 0.002% ZKY001 group(n=59), 0.004% ZKY001 group(n=59), and placebo group(n=60, receiving ZKY001 sham eye drops). Subjects in each group received 1 drop of the study drug 4 times per day for 4 d. The percentage of CED area recovery from baseline, the first complete healing time of CED area, the number of first complete healing cases of CED, and changes in visual analogue scale(VAS)scores for eye discomfort including eye pain, foreign body sensation, tearing and photophobia were observed.RESULTS: In terms of improvement in CED, there were no statistically significant differences among the three groups including the first healing time of CED, the percentage improvement in CED area compared to baseline, and the percentage of first healing cases at different follow-up visits(all P>0.05). Numerically, the first healing time of CED was shorter in the test groups compared to the placebo group(67.87±21.688 h for the 0.002% ZKY001 group, 61.48±22.091 h for the 0.004% ZKY001 group, and 68.85±20.851 h for the placebo group). On D1 morning, the percentage improvement in CED area compared to baseline was maximally different from the placebo group, and the numerical difference advantage was maintained at subsequent follow-up visits. The number of first healing cases in the CED area at different follow-up visits was higher in the test groups than the placebo group. In terms of improvement in ocular discomfort, the total VAS scores were lower in the test groups compared to the placebo group, mainly due to reductions in foreign body sensation and pain scores. At D3, the 0.004% ZKY001 group showed statistically significant improvement in foreign body sensation(P<0.017). In terms of safety, the overall incidence of adverse events was low(9.0%)and similar among groups.CONCLUSION: The use of ZKY001 eyedrops after primary pterygium surgery can safely improve the CED repair, and alleviate postoperative symptoms caused by CED.

Objective:To investigate the clinical effectiveness of Piezocision combined with a microporous technique in accelerating periodontal tissue reconstruction during the anterior migration of mandibular molars in adults.Methods:A prospective, randomized, controlled study was conducted on 30 adult orthodontic patients recruited from Shaoxing Hospital of Traditional Chinese Medicine between January 2020 and September 2022. The inclusion criteria were patients who were unable to retain their first molars due to severe caries or long-term absence and were not suitable for implantation. Using the random number table method, the patients were randomly assigned to two groups: a simple orthodontic control group (Group A, n = 15) and a group that received Piezocision combined with a microporous technique (Group B, n = 15). After treatment, a comparison was made between the two groups in terms of mesial movement distance of the mandibular second molar, plaque index, gingival index, periodontal pocket depth, width of keratinized gingiva, gingival recession, clinical attachment loss, mesial root resorption of the mandibular second molar, alveolar bone height (measured as the distance from the center of the lower incisor to the anterior margin of the chin, referred to as the LM-AC distance), mandibular bone height (measured by the distance from the distal or mesial surface of the root to the alveolar bone margin, denoted as the CEJ-AC distance), and orthodontic satisfaction. Results:The mesial movement distances of the mandibular second molar in Group A patients were (0.86 ± 0.13) mm, (2.75 ± 0.24) mm, (3.54 ± 0.24) mm, and (4.67 ± 0.13) mm at 4, 6, 8, and 12 weeks, respectively. These values were significantly greater than those observed in Group B, which were (0.43 ± 0.06) mm, (1.27 ± 0.14) mm, (1.85 ± 0.53) mm, and (2.65 ± 0.06) mm ( t = 6.83, 14.13, 18.24, 23.78, all P < 0.001). Prior to treatment, there were no statistically significant differences in plaque index, gingival index, periodontal pocket depth, width of keratinized gingiva, gingival recession, or clinical attachment loss between the two groups (all P > 0.05). After treatment, Group A did not exhibit statistically significant differences in plaque index, gingival index, width of keratinized gingiva, and gingival recession compared with baseline values (all P > 0.05). However, in Group A, periodontal pocket depth and clinical attachment loss significantly increased compared with pretreatment levels ( t = -2.57, -7.50, both P < 0.05). After treatment, Group B exhibited significantly increased values for periodontal pocket depth, width of keratinized gingiva, gingival recession, and clinical attachment loss compared with baseline levels ( t = -8.66, -5.57, -45.33, -9.72, all P < 0.001). Furthermore, these values were significantly higher in Group B compared with those in Group A ( t = -4.28, -3.18, 10.00, 10.69, all P < 0.001). A statistically significant difference was also observed between the two groups in terms of mesial root resorption of the mandibular second molar ( t = 4.14, P < 0.001). However, there was no statistically significant difference in LM-AC distance between the two groups after treatment ( P > 0.05). Conclusion:The combination of Piezocision and a microporous technique can effectively accelerate the anterior migration of mandibular molars in adults while maintaining the health of periodontal tissues. This approach holds great potential for clinical promotion.

Objective:To investigate the epidemiological characteristics and prognosis of critically ill patients with sepsis combined with acute kidney injury (AKI) in intensive care unit (ICU) in Beijing, and to analyze the risk factors associated with in-hospital mortality among these critically ill patients.Methods:Data were collected from the Beijing AKI Trial (BAKIT) database, including 9 049 patients consecutively admitted to 30 ICUs in 28 tertiary hospitals in Beijing from March 1 to August 31, 2012. Patients were divided into non-AKI and non-sepsis group, AKI and non-sepsis group, non-AKI and sepsis group, AKI and sepsis group. Clinical data recorded included demographic characteristics, primary reasons for ICU admission, comorbidities, sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation Ⅱ(APACHEⅡ) within 24 hours of ICU admission, physiological and laboratory indexes, treatment in the ICU, AKI staging based on the Kidney Disease: Improving Global Outcomes (KDIGO), as well as the prognostic indicators including length of stay in ICU, length of stay in hospital, ICU and in-hospital mortality. The primary endpoint was discharge or in-hospital death. Multivariate Logistic regression analysis was used to investigate the risk factors for hospital death in ICU patients. Kaplan-Meier survival curve was drawn to analyze the cumulative survival of ICU patients during hospitalization.Results:A total of 3 107 critically ill patients were ultimately enrolled, including 1 259 cases in the non-AKI and non-sepsis group, 931 cases in the AKI and non-sepsis group, 264 cases in the non-AKI and sepsis groups, and 653 cases in the AKI and sepsis group. Compared with the other three group, patients in the AKI and sepsis group were the oldest, had the lowest mean arterial pressure (MAP), and the highest APACHEⅡscore, SOFA score, blood urea nitrogen (BUN), and serum creatinine (SCr) levels, and they also had the highest proportion of receiving mechanical ventilation, requiring vasopressor support, and undergoing renal replacement therapy (RRT), all P < 0.01. Of these 3 107 patients, 1 584 (51.0%) were diagnosed with AKI, and the incidence of AKI in patients with sepsis was significantly higher than in those without sepsis [71.2% (653/917) vs. 42.5% (931/2 190), P < 0.01]. The highest proportion of KDIGO 0 stage was observed in the non-sepsis group (57.5%), while the highest proportion of KDIGO 3 stage was observed in the sepsis group (32.2%). Within the same KDIGO stage, the mortality of patients with sepsis was significantly higher than that of non-sepsis patients (0 stage: 17.8% vs. 3.1%, 1 stage: 36.3% vs. 7.4%, 2 stage: 42.7% vs. 17.1%, 3 stage: 54.6% vs. 28.6%, AKI: 46.1% vs. 14.2%). The ICU mortality (38.7%) and in-hospital mortality (46.1%) in the AKI and sepsis group were significantly higher than those in the other three groups. Kaplan-Meier survival curves further showed that the cumulative survival rate of patients with AKI and sepsis during hospitalization was significantly lower than that of the other three groups (53.9% vs. 96.9%, 85.8%, 82.2%, Log-Rank: χ2 = 379.901, P < 0.001). Subgroup analysis showed that among surviving patients, length of ICU stay and total length of hospital stay were significantly longer in the AKI and sepsis group than those in the other three groups (both P < 0.01). Multivariate regression analysis showed that age, APACHEⅡscore and SOFA score within 24 hours of ICU admission, coronary heart disease, AKI, sepsis, and AKI combined with sepsis were independent risk factors for ICU mortality in patients (all P < 0.05). After adjusting for covariates, AKI, sepsis, and sepsis combined with AKI were significantly associated with higher ICU and in-hospital mortality, with the highest ICU mortality [adjusted odds ratio ( OR) = 14.82, 95% confidence interval (95% CI) was 8.10-27.12; Hosmer-Lemeshow test: P = 0.816] and in-hospital mortality (adjusted OR = 7.40, 95% CI was 4.94-11.08; Hosmer-Lemeshow test: P = 0.708) observed in patients with sepsis combined with AKI. Conclusions:The incidence of AKI is high in sepsis patients, and those with both AKI and sepsis have a higher disease burden, more abnormalities in physiological and laboratory indicators, and significantly increased ICU and in-hospital mortality. Among surviving patients, the length of ICU stay and total length of hospital stay are also longer in the AKI and sepsis group. Age, APACHEⅡscore and SOFA score within 24 hours of ICU admission, coronary heart disease, AKI, and sepsis are independent risk factors for in-hospital mortality in ICU patients.

Objective:To analyze the correlation of poorly differentiated cluster(PDC)grade with clinicopathological features and prognosis of patients with colon cancer.Methods:Hematoxylin-eosin-stained specimens and data from 102 patients with colon cancer who under-went surgery at the Affiliated Hospital of Anhui West Health Vocational College between December 2016 and July 2021 were analyzed in this study.The PDC grades of tumor tissues were determined in all colon cancer cases.Additionally,associations between the PDC grade and clinicopathological features of patients were analyzed via Chi-square test and Logistic regression analysis,whereas the association between the PDC grade and patient prognosis was evaluated using Cox regression analysis.Results:In total,52 cases were identified as PDC G1,14 as PDC G2,and 36 as PDC G3.Tumor budding(TB)was independently and positively associated with PDC,whereas tumor infiltrating lympho-cytes(TIL)were independently and negatively associated with PDC(all P<0.05).Lymph node metastasis or presence of cancerous nodules(hazard ratio[HR]=2.377;95%confidence interval[CI]=1.237-4.568;P=0.009),distant metastasis(HR=7.455;95%CI=2.597-21.399;P<0.001),and the PDC grade(HR=2.095;95%CI=1.099-3.994;P=0.025)were independent risk factors for colon cancer progression.Conclu-sions:Our findings suggest that both TIL and TB affect the colon cancer PDC grade.Therefore,evaluating the PDC grade in cancer tissues can facilitate the prognostic stratification of patients with colon cancer.

Purpose/Significance To know the content of pregnant women's information needs and current situation of information support,and to provide a basis for the construction of pregnant women's information needs assessment tools and the improvement of infor-mation support system.Method/Process By searching domestic and foreign databases,the paper reviews the content of information de-mand,influencing factors,evaluation tools,information support status,etc.Result/Conclusion The information needs of pregnant women are abundant,but the existing information support content is limited and the form is single.It is urgent to build a scientific and ef-fective information needs assessment tool,and a diversified information support system.

Objective:To analyze the implementation of medical emergency team (MET) in Fuxing Hospital of Capital Medical University, and to investigate the characteristics such as the time, department, disease, cause of the MET calls, in order to provide a basis for the improvement of MET's implementation.Methods:A retrospective study was conducted. MET calls that received between January 1st, 2015 and December 31st, 2018 at Fuxing Hospital were collected. The calls' information included the quarter, time, and the patients' gender, age, admission time, department, admission diagnosis, the reason for the calls, the operation and outcome of the MET upon arrival.Results:A total of 846 MET calls were occurred during 4 years from 2015 to 2018. The frequencies of the first and third quarter were relatively high with 28.0% (237/846) and 26.5% (224/846), respectively. The events mainly occurred during the day (08:00-19:59) with 611 calls (72.2%). There were more men [64.3% (544/846)] than women [35.7% (302/846)]. The calls were mainly from the elderly over 60 years old, and gradually increased with age, which distributed the most in patients aging 80-89 years old, accounting for 51.5% of all calls (436/846). Among all the MET events, 80.5% (681/846) were from department of internal medicine, 18.8% (159/846) were from department of surgery, and 0.7% (6/846) were from department of gynecology and obstetrics. The top 3 diseases reported in the calls were respiratory diseases [31.6% (267/846)], nervous system diseases [20.8% (176/846)] and circulatory diseases [9.9% (84/846)]. The reason of MET calls showed that abnormal pulse oxygen saturation [SpO 2, 27.8% (235/846)] were the most among 4 vital signs. After MET rescue, 7.3% (62/846) of the patients died, 48.7% (412/846) were transferred to intensive care unit (ICU) for further treatment, and 41.9% (354/846) remained under observation. Conclusions:The frequency of MET calls in Fuxing Hospital of Capital Medical University was relatively stable over the years, mostly received in the daytime (08:00-19:59) of the first and third quarter. Most of the patients were male aged 80-89 years old. The most MET calls were from department of internal medicine and due to respiratory disease. SpO 2 was the most common abnormal indicator. According to the above characteristics, MET can focus on them in the future.

Objective To explore the value of plasma histones in predicting the prognosis of sepsis patients. Methods The patients with sepsis admitted to intensive care unit (ICU) of Subei People's Hospital of Jiangsu Province Affiliated to Yangzhou University from May 2016 to June 2018 were enrolled as the research subjects, and healthy volunteers were selected as healthy control at the same period. The plasma levels of histones, cardiac troponin I (cTnI), N-terminal pro-brain natriuretic peptide (NT-proBNP), sequential organ failure assessment (SOFA) score, lactate (Lac), procalcitonin (PCT) on admission 24 hours, and use of vasoconstrictor agents, the length of ICU stay and ICU mortality were recorded. The patients were divided into survival group and death group according to the prognosis, and the differences of each index between the two groups were compared. Multivariate binary Logistic regression analysis was carried out to identify the independent risk factors of death. The correlation between histone and the levels of cTnI, NT-proBNP, PCT and Lac was analyzed. The value of plasma histone, cTnI, NT-proBNP, PCT and Lac in predicting the prognosis of patients was analyzed by receiver operating characteristic (ROC) curve. According to the threshold value of histone in predicting prognosis, the patients were divided into two groups, and the differences of various indicators between the two groups were compared. Results ① A total of 93 sepsis patients were included, with 29 cases of ICU death, and the mortality was 31.2%. ② Compared with the healthy control group, histones, cTnI, NT-proBNP were significant increased, besides, histones, cTnI in the death group were further increased compared with the survival group;in addition, SOFA, proportion of vasoconstrictor use were also significant higher than those in the survival group [histones (mg/L): 0.33 (0.28,0.45) vs. 0.22 (0.17,0.29), cTnI (μg/L): 0.25±0.13 vs. 0.20±0.08, SOFA: 11 (8, 12) vs. 9 (8, 11), the rate of vasopressor use: 93.1% (27/29) vs. 68.8% (44/64), all P < 0.05]. Statistically significant indicators between the two groups were included in multivariate binary Logistic regression analysis. The result showed that the independent risk factors affecting the prognosis of patients were the rate of vasopressor use [odds ratio (OR) = 5.277, P = 0.043] and the level of histone (OR = 79.244, P = 0.036). ③ The plasma histone level were positively correlated with cTnI (r = 0.577, P = 0.000), SOFA (r = 0.469, P = 0.000), NT-proBNP (r = 0.349, P = 0.001) and Lac (r = 0.357, P = 0.000), while there was no significant correlation between histone and PCT (r = 0.133, P = 0.205). ④ ROC curve analysis showed that the area under ROC curve (AUC) of histone predicting prognosis was 0.769 (P = 0.000); when the cut-off point was 0.30 mg/L, the sensitivity and specificity were 72.4% and 81.2% respectively. The AUC of SOFA score was 0.653 (P = 0.018), and the sensitivity and specificity were 58.6% and 70.3% respectively when the cut-off point was 10.50; while cTnI, NT-proBNP, Lac and PCT had little value in predicting the prognosis of patients. ⑤ Compared with the group with histone level lower than 0.3 mg/L, the group with histones level greater than 0.3 mg/L had higher SOFA score, more doses of vasopressor, higher cTnI, NT-proBNP, Lac and PCT levels, and higher ICU mortality [SOFA: 11 (10, 12) vs. 9 (8, 10), use of vasopressor: 84.8% (28/33) vs. 76.7% (46/60), cTnI (μg/L): 0.28 (0.19, 0.32) vs. 0.18 (0.12, 0.22), NT-proBNP (ng/L): 3 624.0 (2 800.0, 5 260.0) vs. 2 512.0 (1 361.8, 3 590.8), Lac (mmol/L): 2.25 (1.85, 3.50) vs. 1.60 (1.25, 2.35), PCT (μg/L): 2.10 (1.30, 4.03) vs. 1.60 (1.26, 2.33), ICU mortality: 48.5% (16/33) vs. 21.7% (13/60), all P < 0.05], while no statistical difference in the length of ICU stay was found. Conclusions The independent risk factors for ICU mortality of sepsis patients were high histone level and the use of vasopressor. Plasma histone can be regarded as an indicator in predicting the prognosis of patients with sepsis.

Objective: To investigate the epidemiology and independent risk factors of septic cardiomyopathy. Methods: A prospective study was conducted. Patients with sepsis in intensive care unit (ICU) of Subei People's Hospital of Jiangsu Province, Yangzhou University, Fuxing Hospital, Capital Medical University and Beijing Electric Power Hospital from May 2016 to August 2019 were enrolled. All patients received standardized treatments according to the Surviving Sepsis Campaign (SSC) guidelines. Blood were collected within 24 hours of admission to ICU, and plasma histone H4, cardiac troponin I (cTnI) and N-terminal pro-brain natriuretic peptide (NT-proBNP) were detected by enzyme linked immunosorbent assay (ELISA). Transthoracic echocardiography was performed to record the ultrasonic parameters within 24 hours after admission. Sequential organ failure assessment (SOFA) score, usage of vasopressor drugs, and the prognosis of ICU were recorded. Patients were divided into two groups according to whether cardiomyopathy occurred or not, and the differences of each index between the two groups were compared. The correlation between plasma histone H4 and SOFA score, cTnI, NT-proBNP were investigated. Multivariate binary Logistic regression was used to determine the risk factors for septic cardiomyopathy. The predictive value of histone H4 in septic cardiomyopathy was shown by the receiver operating characteristic (ROC) curve. Results: 121 patients were included in this study, and there were 60 patients (49.6%) with septic cardiomyopathy. Thirty-six patients died, with an ICU mortality of 29.8%. ① Correlation analysis showed that plasma histone H4 in patients with septic cardiomyopathy was positively correlated with cTnI, SOFA score and NT-proBNP (r value was 0.512, 0.403 and 0.274, respectively, all P < 0.01). ② Compared with the non-cardiomyopathy group, the plasma histone H4, cTnI, usage of vasopressor drugs, SOFA score and ICU mortality in the cardiomyopathy group were significantly increased [histone H4 (mg/L): 0.26 (0.23, 0.30) vs. 0.22 (0.17, 0.27), cTnI (μg/L): 0.21 (0.17, 0.30) vs. 0.18 (0.14, 0.22), usage of vasopressor drugs: 83.3% (50/60) vs. 65.6% (40/61), SOFA score: 11 (9, 12) vs. 9 (8, 10), ICU mortality: 40.0% (24/60) vs. 19.7% (12/61), all P < 0.05]. Multivariate binary Logistic regression analysis showed that high histone H4 level [odds ratio (OR) = 6.502, 95% confidence interval (95%CI) was 1.203-78.231, P = 0.044] and usage of vasopressor drugs (OR = 2.622, 95%CI was 1.034-6.849, P = 0.042) were independent risk factors for septic cardiomyopathy. ④ ROC curve analysis showed the cut-off of histones H4 for predicting septic cardiomyopathy was 0.24 mg/L, the area under the curve was 0.684 (P < 0.01), with the sensitivity of 65.2%, and specificity of 68.9%. Conclusions Septic cardiomyopathy had a high incidence. Higher plasma histone H4 and the usage of vasopressor drugs were independent risk factors for septic cardiomyopathy.

Objective: To observe the incidence of intensive care unit-acquired weakness (ICU-AW) of mechanically ventilated patients, and to identify the relevant risk factors. Methods: A prospective cohort study was conducted. The patients admitted to intensive care unit (ICU) of Fuxing Hospital, Capital Medical University, aged 18 years old or older, with the duration of mechanical ventilation ≥ 24 hours and expected to stay in ICU for ≥ 7 days from May 2015 to January 2016 were enrolled. From the 7th day after ICU admission, the patients were evaluated for consciousness every day. If the patient was awake and could cooperate with muscle strength measurement, the day was recorded as T1, and the patient's muscle strength was measured using the Medical Research Council scale (MRC) and recorded, then all patients were divided into two groups according to MRC score, ICU-AW group (MRC score < 48) and non-ICU-AW group (MRC score ≥ 48). The death, transfer or the 28th day of ICU admission were regarded as the end of observation. The data from the first day of ICU admission to T1 (before T1), including metabolic factors (the lowest value of blood sodium, blood potassium, blood calcium, albumin, and the highest value of blood glucose), mechanical ventilation factors (mode and duration of mechanical ventilation), organ dysfunction factors [occurrence and duration of sepsis, multiple organ dysfunction syndrome (MODS)], and drug factors (whether the patients used aminoglycoside, sedative, muscle relaxant or glucocorticoids, etc., the time of these drugs usage and the cumulative dose) of the patients were observed, recorded and analyzed, as well as the data from T1 to the end of the observation period, including the duration of mechanical ventilation, incidence of ventilator associated pneumonia (VAP), 28-day mortality, the length of ICU stay, and the cost of ICU and hospitalization. The relevant factors with statistical significance in univariate analysis were enrolled in multivariate analysis, and Logistic regression equation was established to screen the independent risk factors that might lead to ICU-AW. Results: 486 patients with mechanical ventilation were enrolled in this study, and 37 patients were enrolled according to the inclusion and exclusion criteria, including 15 patients with ICU-AW (with ICU-AW incidence of 40.5%) and 22 patients without ICU-AW. In the univariate analysis, ICU-AW group patients showed statistical differences in following factors as compared with the non-ICU-AW group: age, and the duration of invasive ventilation and the total duration of mechanical ventilation, braking time, sepsis, MODS and duration of them, the usage days and dosage of sedative and glucocorticoid before T1. The total duration of mechanical ventilation from T1 to the end of the observation period, total duration of mechanical ventilation during the observation period, and length of ICU stay of the ICU-AW group were significantly longer than those of the non-ICU-AW group [hours: 190 (110, 274) vs. 4 (0, 57), hours: 337 (237, 477) vs. 78 (43, 170), days: 20±7 vs. 14±7, all P < 0.05], the incidence of VAP, 28-day mortality and total hospitalization expenses were significantly higher than those of the non-ICU-AW group [26.7% (4/15) vs. 0% (0/22), 53.3% (8/15) vs. 9.1% (2/22), 10 thousands Yuan: 18.7±7.7 vs. 12.1±10.8, all P < 0.05]. Multivariate Logistic regression analysis showed that the total duration of mechanical ventilation between the patient awake and ICU admission [odds ratio (OR) = 1.03, 95% confidence interval (95%CI) was 1.01-1.05, P = 0.011] and the duration of MODS (OR = 1.79, 95%CI was 1.17-2.72, P = 0.007) were the independent risk factors for ICU-AW in mechanically ventilated patients. Conclusions ICU-AW is quite common in patients with mechanical ventilation and has a higher incidence. The risk factors associated with ICU-AW were the total duration of mechanical ventilation and duration of MODS.

OBJECTIVE: To observe the incidence of intensive care unit-acquired weakness (ICU-AW) of mechanically ventilated patients, and to identify the relevant risk factors. METHODS: A prospective cohort study was conducted. The patients admitted to intensive care unit (ICU) of Fuxing Hospital, Capital Medical University, aged 18 years old or older, with the duration of mechanical ventilation ≥ 24 hours and expected to stay in ICU for ≥ 7 days from May 2015 to January 2016 were enrolled. From the 7th day after ICU admission, the patients were evaluated for consciousness every day. If the patient was awake and could cooperate with muscle strength measurement, the day was recorded as T1, and the patient's muscle strength was measured using the Medical Research Council scale (MRC) and recorded, then all patients were divided into two groups according to MRC score, ICU-AW group (MRC score < 48) and non-ICU-AW group (MRC score ≥ 48). The death, transfer or the 28th day of ICU admission were regarded as the end of observation. The data from the first day of ICU admission to T1 (before T1), including metabolic factors (the lowest value of blood sodium, blood potassium, blood calcium, albumin, and the highest value of blood glucose), mechanical ventilation factors (mode and duration of mechanical ventilation), organ dysfunction factors [occurrence and duration of sepsis, multiple organ dysfunction syndrome (MODS)], and drug factors (whether the patients used aminoglycoside, sedative, muscle relaxant or glucocorticoids, etc., the time of these drugs usage and the cumulative dose) of the patients were observed, recorded and analyzed, as well as the data from T1 to the end of the observation period, including the duration of mechanical ventilation, incidence of ventilator associated pneumonia (VAP), 28-day mortality, the length of ICU stay, and the cost of ICU and hospitalization. The relevant factors with statistical significance in univariate analysis were enrolled in multivariate analysis, and Logistic regression equation was established to screen the independent risk factors that might lead to ICU-AW. RESULTS: 486 patients with mechanical ventilation were enrolled in this study, and 37 patients were enrolled according to the inclusion and exclusion criteria, including 15 patients with ICU-AW (with ICU-AW incidence of 40.5%) and 22 patients without ICU-AW. In the univariate analysis, ICU-AW group patients showed statistical differences in following factors as compared with the non-ICU-AW group: age, and the duration of invasive ventilation and the total duration of mechanical ventilation, braking time, sepsis, MODS and duration of them, the usage days and dosage of sedative and glucocorticoid before T1. The total duration of mechanical ventilation from T1 to the end of the observation period, total duration of mechanical ventilation during the observation period, and length of ICU stay of the ICU-AW group were significantly longer than those of the non-ICU-AW group [hours: 190 (110, 274) vs. 4 (0, 57), hours: 337 (237, 477) vs. 78 (43, 170), days: 20±7 vs. 14±7, all P < 0.05], the incidence of VAP, 28-day mortality and total hospitalization expenses were significantly higher than those of the non-ICU-AW group [26.7% (4/15) vs. 0% (0/22), 53.3% (8/15) vs. 9.1% (2/22), 10 thousands Yuan: 18.7±7.7 vs. 12.1±10.8, all P < 0.05]. Multivariate Logistic regression analysis showed that the total duration of mechanical ventilation between the patient awake and ICU admission [odds ratio (OR) = 1.03, 95% confidence interval (95%CI) was 1.01-1.05, P = 0.011] and the duration of MODS (OR = 1.79, 95%CI was 1.17-2.72, P = 0.007) were the independent risk factors for ICU-AW in mechanically ventilated patients. CONCLUSIONS ICU-AW is quite common in patients with mechanical ventilation and has a higher incidence. The risk factors associated with ICU-AW were the total duration of mechanical ventilation and duration of MODS.
Adult ; Humans ; Intensive Care Units ; Muscle Weakness/epidemiology* ; Prevalence ; Prospective Studies ; Respiration, Artificial ; Risk Factors