ObjectiveTo compare the indirect calorimetry (IC) measured resting energy expenditure (MREE) with adjusted Harris-Benedict formula calculating resting energy expenditure (CREE) in the mechanically ventilated surgical critically ill patients and to evaluate the relationship between the resting energy expenditure (REE) with the severity of illness. MethodsTwenty-one patients undergonging mechanical ventilation for critical illness in the intensive care unit of general surgery between August 2008 and February 2010 were included in this study. Data during the study period of nutrition support were collected for computation of the severity of critical illness by acute physiology and chronic health evaluation Ⅱ scores (APACHE Ⅱ scores) and organ dysfunction scores (Marshall scores). MREE was measured by using IC of the MedGraphics CCM/D System within the first 7 d after nutrition therapy. CREE was calculated by using the HarrisBenedict formula adjusted with correction factors for illness at the same time. According to APACHE Ⅱ scores on admission, the enrolled patients were divided into two groups: APACHEⅡ score ≥20 scores group (n=8) and APACHE Ⅱ score lt;20 scores group (n=13), and the differences between MREE and CREE of patients in two groups were determined. ResultsThe reduction of variation tendency in CREE other than MREE in the enrolled patients within the first week of nutritional support was statistical significance (Plt;0.001). The CREE of patients 〔(1 984.49±461.83) kcal/d〕 was significantly higher than the MREE 〔(1 563.88±496.93) kcal/d〕 during the first week of nutritional support (Plt;0.001). The MREE on the 0, 1, 2, and 4 d after nutrition therapy were statistically significant lower than CREE at the same time interval in these patients (Plt;0.01), and the differences at the other time points were not significant (Pgt;0.05). There was a trend towards a reduction in APACHE Ⅱ and Marshall scores within the first week of nutrition therapy that reached statistical significance (Plt;0.001). During the first week of nutrition therapy, APACHEⅡ and Marshall scores of patients in ≥20 scores group were significantly higher than those in lt;20 scores group, respectively (Plt;0.05 or Plt;0.01), and the reductions of APACHE Ⅱ scores and Marshall scores were significant in patients of two groups (Plt;0.001). A significant positive correlation was found between CREE with APACHE Ⅱ scores (r=0.656, Plt;0.001) and Marshall scores (r=0.608，Plt;0.001) in patients within the first week after nutrition support. Although no statistically significant correlation was observed between MREE and APACHEⅡ scores (r=-0.045， P=0.563), a significant positive correlation was observed between MREE and Marshall scores (r=0.263, P=0.001) within the first week after nutrition therapy. There was no correlation between MREE and CREE (r=0.064, P=0.408) in patients at the same time interval. The reduction of MREE of patients in ≥20 scores group other than in lt;20 scores group was statistically significant within the first week after nutrition therapy (P=0.034). In addition, the MREE of patients in ≥20 scores group were not significantly different from those in lt;20 scores group (Pgt;0.05), and the mean CREE was not different in two groups patients within the first week of nutritional therapy 〔(1 999.55±372.73) kcal/d vs. (1 918.39±375.27) kcal/d, P=0.887〕. CREE was significantly higher than MREE of patients in ≥20 scores group within the first week except the 3 d and 5 d after nutrition therapy (Plt;0.05), while in lt;20 scores group CREE was significantly higher than MREE in patients only within the first 3 d after nutrition therapy (Plt;0.05 or Plt;0.01). MREE and CREE of patients in ≥20 scores group were not different from those in lt;20 scores group, respectively (Pgt;0.05).
Objective To determine the incidence of vitamin B1 deficiency in critically ill patients, to compare vitamin B1 levels between septic and non-septic patients, and to explore the relationship between vitamin B1 levels and lactate levels. Methods Using a retrospective study method, critically ill patients admitted to the Department of Intensive Care of Nanjing Drum Tower Hospital from February 2022 to November 2022 were included in the study, and the patients were divided into sepsis and non-sepsis groups according to the admission diagnosis, and the differences in the vitamin B1 levels of the patients between the two groups were analyzed, as well as the correlation between the vitamin B1 levels and the lactic acid levels. Results There was a significant difference in serum vitamin B1 levels between the sepsis patients and the non-sepsis patients [(1.6±0.3)ng/mL vs. (2.1±0.2)ng/mL, P=0. 009]. For all patients, there was no correlation between vitamin B1 levels and lactate levels. But when the patient was in a hyperlactate state (lactate level ≥2 mmol/L), vitamin B1 levels were significantly negatively correlated with lactate levels (r=–0. 229, P=0. 004). Conclusions Vitamin B1 deficiency is prevalent in critically ill patients and is strongly correlated with whether or not the patient is septic. Vitamin B1 levels are significantly and negatively correlated with lactate levels when the patient's lactate level is ≥2 mmol/L.
Acute kidney injury is a common complication and is associated with multiple organ dysfunction syndrome among critically ill patients in intensive care unit. Once renal replacement therapy in required, the mortality rate was high. Using slow and uninterrupted clearance of retained fluid and toxins, continuous renal replacement therapy (CRRT) can avoid hemodynamic instability while provide acid-base, electrolytes, and volume homeostasis. For decades, CRRT has become the dominant form of renal replacement therapy as well as multiple organ support in critically ill patient with acute kidney injury. However, there remains wide practice variation in the CRRT care when clinicians take into account the needs of individual patients, available resources, and limitations unique to an institution or type of practice, despite evidences to guide practice. In addition, CRRT is a complex technology that is resource-intensive, costly, and requires specialized training by health providers.Taiwan Society of Critical Care Medicine organized a group of experts in critical care and nephrology to review the recommendations and provide their clinical practice and concerns to write this operational manual. The purpose of this manual is to provide step-by-step instructions on the practice of CRRT and troubleshooting. In addition, it is designed to help the newbies to carry out this complex treatment correctly and efficiently. We hope that this operational manual is of value to improve clinical skills, quality of care, and patient safety.
Continuous renal replacement therapy (CRRT) is the treatment of choice for critically ill patients with hemodynamic instability who require renal replacement therapy. This review summarizes the impact of CRRT treatment on nutritional support in critically ill patients, including: energy increase caused by citrate-based anticoagulants, energy loss caused by glucose-free replacement fluid and dialysate, a large amount of amino acids loss in the effluent, and the influences on the way of lipid emulsion administration, capacity, electrolyte, vitamins, and trace elements. It is hoped that the intensive care unit doctors, nephrologists, and nutritionists can fully cooperate to determine the CRRT prescription and the nutritional support prescription.
Objective To evaluate the feasibility of hyperinsulinemic normoglycemia strategy in critically ill patients. Methods Between January 2020 and October 2021, the critically ill patients with stress hyperglycemia in the Emergency Intensive Care Unit of the Fourth People’s Hospital of Langfang were randomly assigned into a trial group or a control group. The trial group adopted hyperinsulinemic normoglycemia therapy, while the control group adopted conventional glucose control therapy. The mean and variability (standard deviation) of blood glucose, incidences of severe hypoglycemia and abnormal hyperglycemia, as well as the percentage of blood glucose values within the target range were compared between the two groups, to evaluate the feasibility of hyperinsulinemic normoglycemia strategy in critically ill patients from the perspective of safety and effectiveness. The non-normally distributed measurement data were presented as median (lower quartile, upper quartile). Results A total of eighty patients were included, with forty cases in each group. The mean blood glucose level [6.00 (5.74, 6.70) vs. 9.51 (8.74, 10.01) mmol/L, P<0.001], the standard deviation of glucose level [1.58 (1.11, 2.15) vs. 2.20 (1.21, 2.76) mmol/L, P=0.028], and the glycemic lability index [175.52 (100.51, 346.69) vs. 408.51 (205.56, 651.91) mmol2/(L2·h·d), P<0.001] were all smaller in the trial group than those in the control group. The percentage of blood glucose values within the target range was 77.34% in the trial group and 5.33% in the control group, respectively, and the difference was statistically significant (P<0.001). No patients experienced severe hypoglycemia. There was a significant difference in the incidence of abnormal hyperglycemia between the two groups (5.08% vs. 36.16%, P<0.001). Conclusions Hyperinsulinemic normoglycemia strategy can effectively and safely provide normoglycemia, reduce glycemic variability, and achieve good glycemic control in critically ill patients. Hyperinsulinemic normoglycemia strategy may be a new approach to glycemic control in critically ill patients.
ObjectiveTo analyze the correlation between the vaccination status of inpatients with Omicron variant infection and the risk of Omicron critical illness. MethodsA retrospective analysis was performed on the clinical data of patients with Omicron infection admitted to a designated hospital for COVID-19 in Chengdu from December 1, 2022 to January 31, 2023. Patients were divided into critical group and non-critical group according to their condition and the "COVID-19 Diagnosis and Treatment Program (Tenth Edition)". According to the vaccination status, the patients were divided into incomplete vaccination group, full vaccination group and booster vaccination group. Multivariate logistic regression was used to analyze the association between vaccination, symptoms and signs at admission, and the risk of critical illness. ResultsA total of 3 603 inpatients with Omicron infection were included, including 730 cases (20.3%) in the critical group and 2 873 cases (79.7%) in the non-critical group. There were 2 399 people (66.6%) in the incomplete vaccination group, 433 people (12%) in the full vaccination group, and 771 people (21.4%) in the booster vaccination group. Compared with the incomplete vaccination group, the proportion of critical illness in the full vaccination group and booster vaccination group was lower, and the critical illness rate increased with age (P<0.05). After adjusting for age, gender, and underlying diseases, the results of multivariate logistic analysis showed that full vaccination (OR=0.67, 95%CI 0.50 to 0.89) and booster vaccination (OR=0.76, 95% CI 0.61 to 0.94) were significantly associated with a reduced risk of critical illness. ConclusionFull vaccination and booster dose can effectively reduce the risk of critical illness after infection.