The PaO2/FiO2 is independently associated with 28-day mortality in patients with sepsis: a retrospective analysis from MIMIC-IV database.

BACKGROUND: To clarify the relationship between the PaO2/FiO2 and 28-day mortality in patients with sepsis. METHODS: This was a retrospective cohort study regarding MIMIC-IV database. Nineteen thousand two hundred thirty-three patients with sepsis were included in the final analysis. PaO2/FiO2 was exposure variable, 28-day mortality was outcome variable. PaO2/FiO2 was log-transformed as LnPaO2/FiO2. Binary logistic regression was used to explore the independent effects of LnPaO2/FiO2 on 28-day mortality using non-adjusted and multivariate-adjusted models. A generalized additive model (GAM) and smoothed curve fitting was used to investigate the non-linear relationship between LnPaO2/FiO2 and 28-day mortality. A two-piecewise linear model was used to calculate the OR and 95% CI on either side of the inflection point. RESULTS: The relationship between LnPaO2/FiO2 and risk of 28-day death in sepsis patients was U-shape. The inflection point of LnPaO2/FiO2 was 5.30 (95%CI: 5.21-5.39), which indicated the inflection point of PaO2/FiO2 was 200.33 mmHg (95%CI: 183.09 mmHg-219.20 mmHg). On the left of inflection point, LnPaO2/FiO2 was negatively correlated with 28-day mortality (OR: 0.37, 95%CI: 0.32-0.43, p < 0.0001). On the right of inflection point, LnPaO2/FiO2 was positively correlated with 28-day mortality in patients with sepsis (OR: 1.53, 95%CI: 1.31-1.80, p < 0.0001). CONCLUSIONS: In patients with sepsis, either a high or low PaO2/FiO2 was associated with an increased risk of 28-day mortality. In the range of 183.09 mmHg to 219.20 mmHg, PaO2/FiO2 was associated with a lower risk of 28-day death in patients with sepsis.

Intensivists' cognizance of nutrition management and its determinants in ICUs in Guizhou province, China.

BACKGROUND AND OBJECTIVES: To investigate the Intensivists' cognizance of nutritional management and its determinants, and to provide evidence for standardizing nutritional therapy with protocols. METHODS AND STUDY DESIGN: From April to July 2021, a multi-stage sampling method was used to investigate the nutritional cognizance of critical care physicians in secondary and tertiary hospitals in Guizhou Province, China; Questionnaires and scales were used as survey tools. The questionnaires sought general information about the respondents and documented their nutrition cognizance and practice. Five scalar dimensions explored nutritional management, with answers scored for 1-5 points, 3 points being the pass score. RESULTS: 322 respondents from 147 hospitals were surveyed. The average score was passable, but not good at 3.37±0.71 (p<0.01 with 3.0 as reference). Among the five dimensions, evaluation and monitoring of nutritional status had the highest score (3.79±0.67, p<0.01), the understanding of nutritional preparations had the lowest (3.09±0.86, p>0.05), and the scores of other dimensions ranged from 3.21 to 3.49. Almost 70% of intensivists said that they would give priority to other than nutritional therapeutic measures in actual clinical practice. But 96% thought it necessary to strengthen and emphasise nutritional management. CONCLUSIONS: Critical care physicians' knowledge and understanding of nutritional therapy are limited, especially in the use of supportive preparations; Recourse to protocols and standardized nutritional management of assistance may depend on training, assigned role, peer expectations and health system policy, each of which has the potential for advancement in the interest of better nutritional care in provincial Guizhou.

Evaluation of 2 Rat Models for Sepsis Developed by Improved Cecal Ligation/Puncture or Feces Intraperitoneal-Injection.

BACKGROUND The aim of this study was to evaluate the clinical characteristics of 2 rat models of sepsis for improved cecal ligation/puncture (CLP) and feces intraperitoneal-injection (FIP), including systemic inflammation, organ dysfunction, and blood coagulation. MATERIAL AND METHODS Sixty-two male SD rats were randomly divided into 3 groups: a normal control group (NC, n=6), a CLP group (n=28), and a FIP group (n=28). Ten rats each in the CLP and FIP groups were observed for 72-h mortality rate. The remaining 18 rats in each group were divided into 3 subgroups (n=6) according to their post-operation period (6, 12, and 24 h). Abdominal arterial blood was collected to determine the lactic acid (Lac) concentration, prothrombin time (PT), active partial prothrombin time (APTT), plasmic interleukin-6 (IL-6) level, and cardiac troponin (cTnI) level. The intestines, lung, and heart were collected for pathological examination. RESULTS The 72-h mortality rates in the CLP and FIP groups were 60% and 100%, respectively. The Lac level in both groups was significantly elevated at 6, 12, and 24 h after modeling. Compared with the NC group, PT in the CLP and FIP groups was prolonged at 12 and 24 h, and APTT was significantly prolonged at 6 h. IL-6 levels in the CLP and FIP groups peaked at 6 h. The cTnI level in the FIP group was significantly higher at 12 h after modeling compared with the NC group. The intestines, lung, and heart were pathologically damaged at 6 h, and this damage worsened over time. CONCLUSIONS Both modeling methods induced sepsis in rats and closely mimicked the clinical conditions, but FIP was easier to establish and was more suitable for standardization.

Alveolar-arterial oxygen gradient nonlinearly impacts the 28-day mortality of patients with sepsis: Secondary data mining based on the MIMIC-IV database.

OBJECTIVE: Lung is often implicated in sepsis, resulting in acute respiratory distress syndrome (ARDS). The alveolar-arterial oxygen gradient [D(A-a)O2 ] reflects lung diffusing capacity, which is usually compromised in ARDS. But whether D(A-a)O2 impacts the prognosis of patients with sepsis remains to be explored. Our study aims to investigate the association between D(A-a)O2 and 28-day mortality in patients with sepsis using a large sample, multicenter Medical Information Mart for Intensive Care (MIMIC)-IV database. METHODS: We extracted a data of 35 010 patients with sepsis from the retrospective cohort MIMIC-IV database, by which the independent effects of D(A-a)O2 on 28-day death risk was investigated, with D(A-a)O2 as being the exposure variable and 28-day fatality being the outcome variable. Binary logistic regression and a two-piecewise linear model were employed to explore the relationship between D(A-a)O2 and the 28-day death risk after confounding factors were optimized including demographic indicators, Charlson comorbidity index (CCI), Sequential Organ Failure Assessment (SOFA) score, drug administration, and vital signs. RESULTS: A total of 18 933 patients were finally included in our analysis. The patients' average age was 66.67 ± 16.01 years, and the mortality at 28 days was 19.23% (3640/18933). Multivariate analysis demonstrated that each 10-mmHg rise of D(A-a)O2 was linked with a 3% increase in the probability of death at 28 days either in the unadjusted model or in adjustment for demographic variables (Odds ratio [OR]: 1.03, 95% CI: 1.02 to 1.03). But, each 10 mmHg increase in D(A-a)O2 was associated with a 3% increase of death (OR: 1.03, 95% CI: 1.023 to 1.033) in the case of adjustment for all covariants. Through smoothed curve fitting and generalized summation models, we found that non-linear relationship existed between D(A-a)O2 and the death at 28-day, which demonstrated that D(A-a)O2 had no any impacts on the prognosis of patients with sepsis when D(A-a)O2 was less than or equal to 300 mmHg, but once D(A-a)O2 exceeded 300 mmHg, however, every 10 mmHg elevation of D(A-a)O2 is accompanied by a 5% increase of the 28-day death (OR: 1.05; 95% CI:1.04 to 1.05, p < 0.0001). CONCLUSION: Our findings suggests that D(A-a)O2 is a valuable indicator for the management of sepsis patient, and it is recommended that D(A-a)O2 be maintained less than 300 mmHg as far as possible during sepsis process.

[Clinical analysis of septic shock caused by acute upper and lower gastrointestinal perforation].

OBJECTIVE: To analyze the clinical characteristics of septic shock caused by upper and lower gastrointestinal perforation. METHODS: Clinical data of patients with septic shock due to gastrointestinal perforation admitted to the department of critical care medicine of the Affiliated Hospital of Guizhou Medical University from January 2018 to December 2019 were analyzed retrospectively. The general information; procalcitonin (PCT), acute physiology and chronic health evaluation II (APACHE II) and sequential organ failure assessment (SOFA) scores during the first 24 hours in intensive care unit (ICU); results of ascites culture during the first 72 hours in ICU; the maximum dosage and total time of norepinephrine (NE) in ICU; mechanical ventilation time, the length of ICU stay, occurrence of acute kidney injury (AKI), continuous renal replacement therapy (CRRT) and 28-day mortality were collected. The patients were divided into upper gastrointestinal tract group (stomach and duodenum) and lower gastrointestinal tract group (jejunum, ileum, appendix, colon and rectum), with a boundary of Treitz. The clinical features between the two groups were compared. RESULTS: There were 33 patients in the upper gastrointestinal tract group and 30 patients in the lower gastrointestinal tract group. There was no significant difference in gender and age between the two groups. The main pathogens in the ascites cultures in the upper gastrointestinal tract group were Candida albicans (45.5%), Enterococcus faecalis (18.2%) and Escherichia coli (18.2%). Escherichia coli (46.2%) and Enterococcus faecalis (30.8%) were the main pathogens in the lower gastrointestinal tract group. There were significant differences in PCT, the length of ICU stay, mechanical ventilation time, the maximum dosage and total time of NE between the upper gastrointestinal tract group and lower gastrointestinal tract group [PCT (µg/L): 17.69 (3.83, 26.62) vs. 32.82 (4.21, 100.00), the length of ICU stay (hours): 149.0 (102.5, 302.0) vs. 115.5 (30.8, 214.5), mechanical ventilation time (hours): 106.0 (41.5, 183.0) vs. 57.5 (25.0, 122.3), the maximum dosage of NE (µg×kg-1×min-1): 1.2 (0.5, 2.0) vs. 0.7 (0.5, 1.2), the total time of NE (hours): 72.0 (21.0, 145.0) vs. 26.5 (18.0, 80.5), all P < 0.05], while there was no statistically differences in APACHE II or SOFA scores [APACHE II: 30.0 (24.5, 35.0) vs. 28.0 (25.0, 33.5), SOFA: 10.67±4.14 vs. 9.50±3.33, both P > 0.05]. Compared with the lower gastrointestinal tract group, patients in the upper gastrointestinal tract group were more likely to have AKI (78.8% vs. 53.3%, P < 0.05) and require CRRT (39.4% vs. 16.7%, P < 0.05), but there was no significant difference in the 28-day mortality (39.4% vs. 43.3%, P > 0.05). CONCLUSIONS: The clinical characteristics of septic shock caused by upper and lower gastrointestinal perforation are not the same. Patients with septic shock caused by upper gastrointestinal perforation are more likely to suffer from fungal infection, with more severe shock, more likely to have AKI and require CRRT, and significantly longer mechanical ventilation and the length of ICU stay. While patients with septic shock caused by lower gastrointestinal perforation showed higher PCT.

[A special type of blood pressure reduction: a case of carbon dioxide ejection syndrome].

Carbon dioxide (CO2) ejection syndrome is common after artificial pneumoperitoneum, and it often attracts the attention of anesthesiologists because of its rapid changes in vital signs. CO2 ejection syndrome is not uncommon in critically ill patients, and may occur after mechanical ventilation in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). There are few relevant reports about CO2 ejection syndrome, and a considerable number of clinicians have little understanding of the pathological changes. A case of AECOPD patient with CO2 ejection syndrome after endotracheal intubation was admitted to the intensive care unit (ICU) of the Affiliated Hospital of Guizhou Medical University. After treatment, such as fluid expansion, vasoactive drugs and ventilator assistance, the patient's condition improved and was transferred out of the ICU. It is expected to provide some references by summarizing the diagnosis and treatment of this case and reviewing relevant literature reports.

[Analysis of prognostic risk factors of bloodstream infection in intensive care unit patients].

OBJECTIVE: To explore the prognostic risk factors of bloodstream infection (BSI) in intensive care unit (ICU) patients, furthermore, to provide a reliable evidence for early warning and treatment for the critical patients with BSI. METHODS: A retrospective study was performed. The clinical data of patients with blood culture-positive admitted to ICU of the Affiliated Hospital of Guizhou Medical University from January 1 to September 30, 2019 were analyzed. The data including gender, age, proportion of basic diseases, acute physiology and chronic health evaluation II (APACHE II), the duration of mechanical ventilation after being diagnosed with BSI, length of stay in ICU, aggressive operation and blood product infusion after BSI, proportion of using continuous renal replacement therapy (CRRT) and continuous vasoactive agents for more than 72 hours after being diagnosed with BSI, and site of central venous catheterization were recorded. Meantime, the worst laboratory values within 72 hours after being diagnosed with BSI, information about pathogenic microorganism categories and distributions were collected and analyzed. The patients were divided into survival and death groups based on the the 28-day prognosis, and the differences of clinical data between the two groups were compared. Logistic regression analysis was used to select the independent prognostic risk factors of BSI. RESULTS: One hundred and fifty-four patients with positive results of BSI were enrolled, and the 156 strains of bacteria were detected, including 75 Gram positive (G+) bacteria strains, 70 Gram negative (G-) bacteria strains and 11 fungi strains among those BSI patients. The top five pathogenic microorganisms were Coagulase negative staphylococcus (35.9%), Klebsiella pneumonia (12.8%), Acinetobacter baumannii (9.0%), Enterococci (9.0%), and Escherichia coli (8.3%). There were 45 strains (60.0%) of multidrug-resistant strains in G+ bacteria and 40 strains of multidrug-resistant strains (57.1%) in G- bacterial strains, but in fungi there was only 1 strain (9.1%). There were 81 cases in survival group and 73 cases in death group according to 28-day prognosis. We found that there were no significant differences between the comparators in age, lenth of stay in ICU, duration for mechanical ventilation after being diagnosed with BSI, percentage of BSI with chronic obstructive pulmonary disease (COPD), hypertension, cardiovascular disease or chronic kidney dysfunction (all P > 0.05). In death group, the proportion of male was obviously lower than that of survival group [58.9% (43/73) vs. 75.3% (61/81), P < 0.05] and APACHE II score was significantly higher than that in survival group (27.1±7.0 vs. 19.5±6.7, P < 0.05). The mean arterial pressure (MAP) of death group on first 3 days of BSI was significantly lower than that of survival group [mmHg (1 mmHg = 0.133 kPa): 72.8±13.6 vs. 79.7±12.9, P < 0.05), in the death group, the proportion of patients complicated with diabetes, cancer [28.8% (29/73) vs. 12.3% (10/81), 19.2% (14/73) vs. 7.4% (6/81)], post-BSI CRRT and blood transfusion [39.7% (29/73) vs. 16.0% (13/81), 64.4% (47/73) vs. 46.9% (38/81)], and continuous use of asoactie drugs for ≥ 72 hours [37.0% (27/73) vs. 12.3% (10/81)] were significantly higher than those in the survival group (all P < 0.05). In death group, platelet count (PLT) was significantly decreased than that of survival group [×109/L: 124.93±98.21 vs. 181.15±116.39,P < 0.05], aspartate aminotransferase (AST) level was significantly higher than that of survival group [U/L: 75.40 (38.50, 140.95) vs. 56.20 (29.20, 85.70), P < 0.05], the rest of the laboratory indexes had no statistically significant differences between the two groups (all P > 0.05). The results of Logistic regression analysis showed that the APACHE II score [odds ratio (OR) = 1.279, 95% confidence interval (95%CI) was 1.158 to 1.412, P < 0.001], CRRT after BSI (OR = 3.522, 95%CI was 1.013 to 12.245, P = 0.048) were independent risk factors affecting the prognosis of patients with BSI, and MAP is a protective factor for prognosis (OR = 0.961, 95%CI was 0.927 to 0.996, P = 0.031). CONCLUSIONS: In our ICU, G+ bacteria are still dominant in bloodstream infection, G- bacteria take the second place. Besides, APACHE II score and CRRT after being diagnosed with BSI are the independent prognostic risk factors.

[Discussion on the undergraduate education mode of critical care medicine majoring in clinical medicine].

OBJECTIVE: To discuss the feasibility of offering specialized courses of critical care medicine in undergraduate clinical medicine education, so as to alleviate the shortage of critical care medicine staffs and lay a foundation for improving the success rate for the treatment of critical cases. METHODS: The undergraduates majoring in clinical medicine from 2008 to 2011 in Guizhou Medical University (the former Guiyang Medical College) were enrolled. After they had been enrolled in the undergraduate education for 3 years and were ready for Grade four, which meant basic medicine teaching had been completed and clinical medicine teaching was about to start, they were introduced and preached to each discipline, including critical care medicine. The undergraduates were free to choose professional direction of clinical training in Grade four. Students majoring in clinical medicine from 2012 to 2014 were free to choose their major direction when they entered the school. RESULTS: From September 2011 to July 2019, the university had cultivated 246 undergraduates majoring in clinical critical care medicine from 2008 to 2014, and the critical care medicine professional team of affiliated hospital had undertaken 540 teaching hours. By July 2019, all students had graduated on time, with an employment rate of 100%. Forty students took postgraduate programs in our school and other schools, accounting for 16.3%. CONCLUSIONS: Professional education of critical care medicine in the undergraduate course of clinical medicine can mobilize students' interest in learning and subjective initiative, which is conducive to career selection. During the clinical training, the students can identify and timely cure critical care cases in the early stage, and partly alleviate the current shortage of critical care medical staffs.

[Risk factors of atrial fibrillation in critical ill patients].

OBJECTIVE: To observe the clinical features of atrial fibrillation (AF) patients, and to explore the correlation between the routine detection index and the new-onset AF and to find out risk factors for new AF in critically ill patients. METHODS: A prospective observational study was conducted. The patients with AF admitted to intensive care unit (ICU) of the Affiliated Hospital of Guizhou Medical University from March 2016 to June 2017 were enrolled. The patients were divided into new-onset AF group and past-existed AF group according to their past history of AF (including persistent AF, paroxysmal AF or permanent AF). In addition, patients in ICU without history of AF and new-onset AF were selected as the control group (no AF group). The general epidemiological characteristics of patients in three groups, and the blood biochemical, coagulation and other related indicators at the time of AF occurred (new-onset AF group) or 48 hours after ICU admission (AF group and no AF group) were analyzed; the difference of laboratory indexes between patients in new-onset AF group with AF within 48 hours before occurred and patients in no AF group within 48 hours after admission to ICU was compared. The relationship between each index and new-onset AF were analyzed. Pearson or Spearman rank correlation was used for analysis. Risk factors of new-onset AF were analyzed by Logistic regression analysis. RESULTS: 1 673 patients were admitted to ICU, including 179 cases of AF (10.70%), and 106 males and 73 females, with an average age of (71.73±23.22) years. There was 75 new-onset AF (morbidity 4.48%), and had a 28-day mortality of 45.33% (34/75). There were differences in age, previous heart disease and heart failure (HF) among new-onset AF group (n = 75), past-existed AF group (n = 104) and no AF group (n = 75). Compared with other two groups, renal insufficiency rates, troponin, serum sodium, calcium and procalcitonin levels were higher, mechanical ventilation time and the length of ICU stay were significantly prolonged, ICU and hospitalization costs were higher in new-onset AF group. Compared with no AF group, new-onset AF patients with the higher percentage of septic shock, the accumulation of vascular contraction drugs within 24 hours after AF usage were higher, and used more anti-arrhythmic drugs, has higher brain natriuretic peptide (pro-BNP), serum creatinine, blood lactic acid levels, and lower albumin, oxygenation index, and serum potassium levels, sequential organ failure assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHE II) score and 28-day mortality were higher. Correlation analysis showed that age, APACHE II score, septic shock, HF, cardiovascular disease, renal insufficiency were positively correlated with new-onset AF (r values were 0.393, 0.270, 0.386, 0.251, 0.194, 0.170; P values were 0.000, 0.001, 0.000, 0.002, 0.017, 0.037, respectively). The age [odds ratio (OR) = 0.962, P = 0.046], basic oxygenation index (OR = 1.005, P = 0.028) and serum potassium levels (OR = 1.638, P = 0.022) were the risk factors for new-onset AF. CONCLUSIONS: Critical patients with a high incidence of AF, new-onset AF significantly prolong the length of ICU stay; age, APACHE II score, septic shock, cardiovascular disease, and renal insufficiency are related to new-onset AF; age, basic oxygenation index and serum potassium levels are risk factors for new-onset AF.

[Development and construction mode of critical care medicine: 22 years of development and construction of intensive care units of Guizhou Medical University].

OBJECTIVE: To provide decision-making basis for promoting the rapid and healthy development of critical care medicine/intensive care unit (ICU) through discussing the mode of development and construction of the department of ICU. METHODS: The situations of ICU of Affiliated Hospital of Guizhou Medical University from July 1994 to December 2016 were analyzed and summed up. Data of the situations in different development stages included the location and area of the ward, the number of beds, the number of physicians and nurses, the structure of academic titles and educational levels, the number of patients admitted to ICU per year, the proportion of patients used ventilator per year, the mortality, the mode of the discipline management, the number of medical postgraduates and undergraduates trained in the ICU, the number of teaching hours, the achievements, the number of research projects, the number of published monographs and papers, the number of the multicenter trials that we participated in, the construction of the team, the personal honor, and so on. RESULTS: From 1994 to 2016, the department of ICU had three development stages: the initial development stage of the discipline (from July 1994 to March 2005), the standardization development stage of the discipline (from April 2005 to December 2015), the acceleration development stage of the discipline (from December 2015 to December 2016). The scale of the department expanded from an open unit with 6 beds which was shared with the department of cardiothoracic surgery to 6 enclosed units with 90 beds which were managed independently by the intensivists. The area of the department increased from less than 300 m2 to more than 7 000 m2. There were 46 beds in the mixed ICU, which covered an area of 4 210 m2. There was only one physician in 1994 while the number of the physicians increased to 19 in 2016. The number of nurses increased from 4 in 1994 to 69 in 2016. The proportion of highly educated talents significantly increased. Furthermore, from 1994 to 2016, the number of beds increased from 6 to 46; the number of patients admitted to ICU per year increased from 138 to 1 080; and the number of patients used ventilator increased from 24 to 1 057. The mean acute physiology and chronic health evaluation II (APACHE II) score was > 24.0 at admission, while < 12.6 at discharge. From 1997 to 2016, a total of 79 postgraduates had studied in the department, and 390 teaching hours we had undertaken. From 2011 to 2016, a total of 250 undergraduates had studied in the department, and 540 teaching hours we had undertaken. From 1994 to 2016, 8 achievements were obtained, 22 projects were undertook, 4 monographs were published, 6 books were edited that the physicians in the ICU as key editors, 104 papers were published, and 8 national multicenter trials that the physicians in the ICU were as key participants, and multiple team and individual honors were obtained. CONCLUSIONS: The construction of ICU hardware is the basis and prerequisite for the development of the discipline and the construction of ICU software is the soul and motivation of the discipline. The operation indexes of clinical medical treatment, teaching and scientific researches reflect the overall operation status of the discipline and the hospital.