Objective To study the relationship between acute renal failure(ARF) and hyperosmolaremia in stroke patients and the related factors.Methods The clinical data of 59 stroke patients with ARF(ARF group) and 76 stroke patients without ARF(control group) were studied.The correlation analysis was used to compare the serum osmolality levels and serum creatinine values between the two groups.The factors that caused ARF in stroke patients were estimated using a logistic regression model.Results The mean serum osmolality in ARF group[((320.98?)30.63)mOsm/L] was significantly higher than that in control group [((295.49?)17.7)mOsm/L]((P

Objective To investigate the risk of death between older and non-older critical patients in intensive care unit (ICU) in Shuyang People's Hospital.Methods A retrospective cohort study was conducted. The critical patients who aged 15 or above, and admitted to ICU of Shuyang People's Hospital from January 2014 to December 2016 were enrolled, and all the data was collected from theregistration and electronic medical records in the ICU. The prevalence and causes of death in ICU critical patients during the study period were observed. The patients were divided into elderly group (65 years and older) and non-elderly group (15-65 years), and logistic regression analysis was performed for the risk of death in the two groups.Results During the study period, 2707 critical patients in emergency were admitted to the ICU of Shuyang People's Hospital, and patients not satisfied the inclusion criteria were excluded. Finally, a total of 2466 patients were enrolled in the analysis with the male and female ratio of 1.6 : 1, an average age of (61.8±17.3) years, a median Glasgow coma scale (GCS) score of 6 (4, 8), and with a median ICU stay of 3 (1, 6) days. In 2466 critical patients, the most common cause of critical state was spontaneous intracerebral hemorrhage (25.5%) and traumatic brain injury (17.0%), with a fatality rate of 46.0% and 39.5% within first 7 days respectively. Compared with the non-elderly patients (n = 1415), the incidences of death of the elderly patients (n = 1051) due to traumatic brain injury, cerebral infarction, heart failure/cardiovascularcrisis, and respiratory critically ill were significantly increased (9.4% vs. 4.7%, 2.9% vs. 0.8%, 5.0% vs. 2.1%, 2.5% vs. 1.0%, respectively), while the incidence of death for pesticide/drug poisoning in the elderly group was significantly lower than that in the non-elderly group (0.2% vs. 1.2%, allP < 0.01). Stepwise logistic regression analysis showed that traumatic brain injury [hazard ratio (HR) = 1.878, 95% confidence interval (95%CI) = 1.233-2.864,P = 0.003), cerebral infarction (HR = 0.435, 95%CI = 0.229-0.826, P = 0.011), heart failure/cardiovascular crisis (HR = 0.399, 95%CI = 0.238-0.668,P = 0.000), and respiratory critically ill (HR = 0.239, 95%CI = 0.126-0.453,P= 0.000) in the older patients were significantly high risk factors of death as compared with those in non-older patients.Conclusions In the general ICU, the most common cause is spontaneous intracerebral hemorrhage and traumatic brain injury in critical patients with a high fatality rate. The risk of death in elderly patients with severe traumatic brain injury, cerebral infarction, heart failure/cardiovascular crisis, respiratory critically ill is higher than that of the non-elderly patients.

Objective To investigate whether the presence of sepsis associated encephalopathy (SAE) would predict nosocomial coma (NC) and poor outcome in patients with supratentorial intracerebral hemorrhage (SICH). Methods A retrospective cohort study was conducted. The adult acute SICH patients with or without coma admitted to intensive care unit (ICU) of Shuyang People' Hospital Affiliated to Xuzhou Medical University from December 2012 to December 2015 were enrolled. Brain computed tomography (CT) scans were analyzed and the patients were divided into pre-hospital coma (PC) and NC groups. The clinical data and the incidence of SAE of patients in two groups were compared, and the 30-day prognosis was followed up. Univariate and Cox regression analyses were performed to analyze whether SAE would predict NC and poor outcome in patients with SICH. Results A total of 330 patients with acute SICH and coma were enrolled, excluding 60 cases of infratentorial cerebral hemorrhage, 3 cases of primary intraventricular hemorrhage, and 6 cases of unknown volume hematoma. Finally, 261 patients were included, with 111 patients of NC events, and 150 patients of PC events. 69 (62.2%) SAE in SICH with NC and 33 (22.2%) SAE in SICH with PC was diagnosed, and the incidence of SAE between two groups was statistically significant (P < 0.01). Compared with PC group, SICH patients in the NC group had lower incidence of hypertension (81.1% vs. 96.0%), longer time from onset to NC [days: 2.3 (23.9) vs. 0 (0.5)] and length of ICU stay [days: 5.0 (34.0) vs. 3.0 (12.0)], higher initial Glasgow coma score (GCS, 10.2±1.5 vs. 6.6±1.6) and sequential organ failure assessment (SOFA) score [4.0 (6.0) vs. 3.0 (3.0)], lower initial National Institutes of Health Stroke Scale (NIHSS) score (19.4±6.6 vs. 30.2±6.8), as well as more frequent sepsis (78.4% vs. 38.0%), vegetative state (24.3% vs. 14.0%), acute respiratory failure (24.3% vs. 10.0%), pneumonia (37.8% vs. 24.0%), septic shock (8.1% vs. 0), acute liver failure (5.4% vs. 0), hypernatremia (8.1% vs. 0), CT indicating that more frequent vasogenic edema (64.9% vs. 16.0%) and white matter lesion (13.5% vs. 2.0%), and less mannitol usage (94.6% vs. 100.0%), and less brain midline shift (32.4% vs. 68.0%) and hematoma enlargement (8.1% vs. 30.0%), less hematoma volume (mL: 28.0±18.8 vs. 38.3±24.4) in CT, and higher 30-day mortality (54.1% vs. 26.0%) with statistical differences (all P < 0.05). It was shown by Cox regression analyses that SAE [hazard ratio (HR) = 3.5, 95% confidence interval (95%CI) = 1.346-6.765, P = 0.000] and SOFA score (HR = 1.8, 95%CI = 1.073-1.756, P = 0.008) were independent risk factors of death of SICH patients with NC, and hematoma enlargement was independent risk factor of death of SICH patients with PC (HR = 3.0, 95%CI = 1.313-5.814, P = 0.000). Conclusion SAE is the independent factor of inducing NC event and poor prognosis in SICH patients.

Objective To investigate whether the presence of infection in a case series with coma would predict sepsis associated encephalopathy(SAE).Methods From Jan 2013 to Oct 2014,we used the criteria of systemic inflammatory response syndrome (SIRS)positive sepsis with encephalopathy and retrospective diagnosed a comatose case series with infection and from a tertiary teaching hospital intensive care unit (ICU).Results Among 6 comatose patients with evidence of infection,3 cases were secondary infection after hemorrhagic stroke,1 case was secondary infection after trauma,and the other 2 cases were primary infection.All patients met the diagnosis of SIRS -positive sepsis with encephalopathy.Among them,the presence of SIRS 3 criteria was in 2 cases,four criteria in 4 cases. All patients with severe brain failure (100%),in addition to 5 cases with acute respiratory failure caused by lung injury,one case with acute liver failure.Brain imaging confirmed that the delayed vasogenic edema was in two cases (33.3%),the cerebral ischemic lesions in four cases(66.7%).The ischemic lesion included 1 patient with minor infarcts and 1 case with mild white matter lesions,and with a good prognosis.The other two ischemic cases included multifocal leukoencephalopathy with central pontine myelinolysis in 1 case and extensive white matter lesions in 1 case,eventually with a poor prognosis.Conclusion SAE is a common critically illness,the use of the new classifi-cation criteria of sepsis is helpful in the diagnosis of sepsis associated encephalopathy.

Objective To observe the clinical features and evaluate the risk factors affecting prognosis in patients with secondary sepsis of gastrointestinal perforation (GIP). Methods A retrospective cohort study was conducted, and the patients with GIP admitted to the Department of General Surgery of Affiliated Shuyang People's Hospital of Xuzhou Medical University from January 1, 2014 to April 30, 2017 were enrolled, according to the presence or absence of sepsis occurrence, they were divided into GIP with and GIP without sepsis groups. The difference of gender, age, the time between the onset of GIP and the occurrence of sepsis, infection situation, body temperature, heart rate, respiratory frequency, white blood cell count (WBC), systemic inflammatory response syndrome (SIRS) in accord with standard, C-reactive protein (CRP), blood sugar, mean arterial pressure (MAP), lactic acid, number of cases having undergone laparoscopic surgery, sequential organ failure score (SOFA) and quick sequential organ failure score (qSOFA), Glasgow coma score(GCS), length of stay in intensive care unit (ICU), the total length of stay in hospital were compared;the status of survival and prognosis was assessed on day 30 by the Glasgow Outcome Scale (GOS). The indicators with statistical significance in the two groups were brought into the Cox regression model to analyze the independent risk factors affecting the prognosis of the patients. Results Fifty-eight patients with GIP were enrolled in this study. Among them, 22 cases developed secondary sepsis (GIP with sepsis group, there were 50.0% cases with single organ failure and 50.0% cases with multiple-organ failure, cases only in accord with 0-1 SIRS criteria accounting for 81.8%, and the mortality of secondary sepsis being 31.8%). No sepsis occurred in 36 patients (GIP without sepsis group). In GIP with sepsis group, the age, blood glucose, lactic acid, SOFA score, qSOFA, and the length of stay in ICU were significantly higher than those of GIP without sepsis group [age (years): 68.7±15.9 vs. 56.1±17.2, blood glucose (mmol/L): 6.9±2.3 vs. 5.9±1.2, lactic acid (mmol/L): 2.9±1.3 vs. 1.2±0.7, SOFA score: 5.6±3.2 vs. 0.5±0.4, qSOFA score: 1.0±0.9 vs. 0.3±0.1, the length of stay in ICU (days): 1.0 (0-4.0) vs. 0.1 (0-2.0), all P < 0.05], while MAP, GCS, and GOS scores in GIP with sepsis group were significantly lower than those in GIP without sepsis group [MAP (mmHg, 1 mmHg =0.133 kPa): 83.6±18.7 vs. 100.0±14.3, GCS score: 12.8±3.5 vs. 14.5±0.5, GOS score: 3.5±1.9 vs. 4.9±0.2, all P < 0.01]. Cox multivariable regression analysis showed: only low MAP and low GCS score were the independent risk predictors of death outcome for GIP with sepsis, the relative risk (RR) was 0.896 [95% confidence interval (CI) = 0.815-0.984, P = 0.022] and 0.585 (95%CI = 0.395-0.866, P = 0.007) respectively. Conclusion Patients with secondary sepsis following GIP have relatively high morbidity and much more risk factors, but only low MAP and low GCS score are closely associated with its high risk of death.