Journal of intensive medicine最新文献

The intensity of organ support has received attention in recent years. To make better clinical decisions, we should understand the mechanisms and benefits, and disadvantages of the different intensities of organ support in critically ill patients. Therapeutic strategies such as supplemental oxygen therapy, mechanical ventilation, respiratory stimulant, vasoactive agents, transfusion, albumin infusion, fluid management, renal placement, and nutrition support, if they are implemented in accordance with an aggressive strategy, could result in side effects and/or complications, resulting in iatrogenic harm in critically ill patients. It is found that the intensity of organ support is not a determining factor in prognosis. A normal rather than supernormal physiological target is recommended for support therapy.

Background

Whether a causative link exists between brain death (BD) and intestinal microbiota dysbiosis is unclear, and the distortion in liver metabolism associated with BD requires further exploration.

Methods

A rat model of BD was constructed and sustained for 9 h (BD group, n=6). The sham group (n=6) underwent the same procedures, but the catheter was inserted into the epidural space without ballooning. Intestinal contents and portal vein plasma were collected for microbiota sequencing and microbial metabolite detection. Liver tissue was resected to investigate metabolic alterations, and the results were compared with those of a sham group.

Results

α-diversity indexes showed that BD did not alter bacterial diversity. Microbiota dysbiosis occurred after 9 h of BD. At the family level, Peptostreptococcaceae and Bacteroidaceae were both decreased in the BD group. At the genus level, Romboutsia, Bacteroides, Erysipelotrichaceae_UCG_004, Faecalibacterium, and Barnesiella were enriched in the sham group, whereas Ruminococcaceae_UCG_007, Lachnospiraceae_ND3007_group, and Papillibacter were enriched in the BD group. Short-chain fatty acids, bile acids, and 132 other microbial metabolites remained unchanged in both the intestinal contents and portal vein plasma of the BD group. BD caused alterations in 65 metabolites in the liver, of which, carbohydrates, amino acids, and organic acids accounted for 64.6%. Additionally, 80.0% of the differential metabolites were decreased in the BD group livers. Galactose metabolism was the most significant metabolic pathway in the BD group.

Conclusions

BD resulted in microbiota dysbiosis in rats; however, this dysbiosis did not alter microbial metabolites. Deterioration in liver metabolic function during extended periods of BD may reflect a continuous worsening in energy deficiency.

Background

Fluid resuscitation is a key treatment for sepsis, but limited data exists in patients with existing heart failure (HF) and septic shock. The objective of this study was to determine the impact of initial fluid resuscitation volume on outcomes in HF patients with reduced or mildly reduced left ventricular ejection fraction (LVEF) with septic shock.

Methods

This multicenter, retrospective, cohort study included patients with known HF (LVEF ≤50%) presenting with septic shock. Patients were divided into two groups based on the volume of fluid resuscitation in the first 6 h; <30 mL/kg or ≥30 mL/kg. The primary outcome was a composite of in-hospital mortality or renal replacement therapy (RRT) within 7 days. Secondary outcomes included acute kidney injury (AKI), initiation of mechanical ventilation, and length of stay (LOS). All related data were collected and compared between the two groups. A generalized logistic mixed model was used to assess the association between fluid groups and the primary outcome while adjusting for baseline LVEF, Acute Physiology and Chronic Health Evaluation (APACHE) II score, inappropriate empiric antibiotics, and receipt of corticosteroids.

Results

One hundred and fifty-four patients were included (93 patients in <30 mL/kg group and 61 patients in ≥30 mL/kg group). The median weight-based volume in the first 6 h was 17.7 (12.2–23.0) mL/kg in the <30 mL/kg group vs. 40.5 (34.2–53.1) mL/kg in the ≥30 mL/kg group (P <0.01). No statistical difference was detected in the composite of in-hospital mortality or RRT between the <30 mL/kg group compared to the ≥30 mL/kg group (55.9% vs. 45.9%, P=0.25), respectively. The <30 mL/kg group had a higher incidence of AKI, mechanical ventilation, and longer hospital LOS.

Conclusions

In patients with known reduced or mildly reduced LVEF presenting with septic shock, no difference was detected for in-hospital mortality or RRT in patients who received ≥30 mL/kg of resuscitation fluid compared to less fluid, although this study was underpowered to detect a difference. Importantly, ≥30 mL/kg fluid did not result in a higher need for mechanical ventilation.

Background

Acute kidney injury (AKI) is primarily defined and classified according to the magnitude of the elevation of serum creatinine (Scr). We aimed to determine whether the duration of AKI adds prognostic value in addition to that obtained from the magnitude of injury alone.

Methods

This retrospective study enrolled very elderly inpatients (≥75 years) in the Chinese PLA General Hospital from January 2007 to December 2018. AKI was stratified by magnitude according to KDIGO stage (1, 2, and 3) and duration (1–2 days, 3–4 days, 5–7 days, and >7 days). The primary outcome was the 1-year mortality after AKI. Multivariable Cox regression analysis was performed to identify covariates associated with the 1-year mortality. The probability of survival was estimated using the Kaplan–Meier method, and curves were compared using the log-rank test.

Results

In total, 688 patients were enrolled, with the median age was 88 (84–91) years, and the majority (652, 94.8%) were male. According to the KDIGO criteria, 317 patients (46.1%) had Stage 1 AKI, 169 (24.6%) had Stage 2 AKI, and 202 (29.3%) had Stage 3 AKI. Of the 688 study subjects, 61 (8.9%) with a duration of AKI lasted 1–2 days, 104 (15.1%) with a duration of AKI lasted 3–4 days, 140 (20.3%) with a duration of AKI lasted 5–7 days, and 383 (55.7%) with a duration of AKI lasted >7 days. Within each stage, a longer duration of AKI was slightly associated with a higher rate of 1-year mortality. However, within each of the duration categories, the stage of AKI was significantly associated with 1-year mortality. When considered separately in multivariate analyses, both the duration of AKI (3–4 days: HR=3.184; 95% CI: 1.733–5.853; P <0.001, 5–7 days: HR=1.915; 95% CI: 1.073–3.416; P=0.028; >7 days: HR=1.766; 95% CI: 1.017–3.065; P=0.043) and more advanced AKI stage (Stage 2: HR=3.063; 95% CI: 2.207–4.252; P <0.001; Stage 3: HR=7.333; 95% CI: 5.274–10.197; P <0.001) were independently associated with an increased risk of 1-year mortality.

Conclusions

In very elderly AKI patients, both a higher stage and duration were independently associated with an increased risk of 1-year mortality. Hence, the duration of AKI adds additional information to predict long-term mortality.

Coronavirus disease 2019 (COVID-19) pneumonia can lead to acute hypoxemic respiratory failure. When mechanical ventilation is needed, almost all patients with COVID-19 pneumonia meet the criteria for acute respiratory distress syndrome (ARDS). The question of the specificities of COVID-19-associated ARDS compared to other causes of ARDS is of utmost importance, as it may justify changes in ventilatory strategies. This review aims to describe the pathophysiology of COVID-19-associated ARDS and discusses whether specific ventilatory strategies are required in these patients.

Background

The relationship between perfusion index (PI) and organ dysfunction in patients in the intensive care unit (ICU) is not clear. This study aimed to explore the relationship between PI and renal function in the perioperative critical care setting and evaluate the predictive efficiency of PI on patients with acute kidney injury (AKI) in the ICU.

Methods

This retrospective analysis involved 12,979 patients who had undergone an operation and were admitted to the ICU in Peking Union Medical College Hospital from January 2014 to December 2019. The distribution of average PI in the first 24 h after ICU admission and its correlation with AKI was calculated by Cox regression. Receiver operating characteristic (ROC) curves were generated to compare the ability of PI, mean arterial pressure (MAP), creatinine, blood urea nitrogen (BUN), and central venous pressure (CVP) to discriminate AKI in the first 48 h in all perioperative critically ill patients.

Results

Average PI in the first 24 h served as an independent protective factor of AKI (Odds ratio [OR]=0.786, 95% confidence interval [CI]: 0.704–0.873, P <0.0001). With a decrease in PI by one unit, the incidence of AKI increased 1.74 times. Among the variables explored for the prediction of AKI (PI, MAP, creatine, BUN, and CVP), PI yielded the highest area under the ROC curve, with a sensitivity of 64.34% and specificity of 70.14%. A cut-off value of PI ≤2.12 could be used to predict AKI according to the Youden index. Moreover, patients in the low PI group (PI ≤2.12) exhibited a marked creatine elevation at 24–48 h with a slower decrease compared with those in the high PI group (PI >2.12).

Conclusions

As a local blood flow indicator, the initial 24-h average PI for perioperative critically ill patients can predict AKI during their first 120 h in the ICU.

Background

Linezolid-associated thrombocytopenia (LAT) leads to drug withdrawal associated with a poor prognosis. Some risk factors for LAT have been identified; however, the sample size of previous studies was small, data from elderly individuals are limited, and a simple risk score scale was not established to predict LAT at an early stage, making it difficult to identify and intervene in LAT at an early stage.

Methods

In this single-center retrospective case-control study, we enrolled elderly patients treated with linezolid in the intensive care unit from January 2015 to December 2020. All the data of enrolled patients, including demographic information and laboratory findings at baseline, were collected. We analyzed the incidence and risk factors for LAT and established a nomogram risk prediction model for LAT in the elderly population.

Results

A total of 428 elderly patients were enrolled, and the incidence of LAT was 35.5% (152/428). Age ≥80 years old (OR=1.980; 95% CI: 1.179–3.325; P=0.010), duration of linezolid ≥ 10 days (OR=1.100; 95% CI: 1.050–1.152; P <0.0001), platelet count at baseline (100–149×10⁹/L vs. ≥200×10⁹/L, OR=8.205, 95% CI: 4.419–15.232, P <0.0001; 150–199 ×10⁹/L vs. ≥200×10⁹/L, OR=3.067, 95% CI: 1.676–5.612, P <0.001), leukocyte count at baseline ≥16×10⁹/L (OR=2.580; 95% CI: 1.523–4.373; P <0.0001), creatinine clearance <50 mL/min (OR=2.323; 95% CI: 1.388–3.890; P=0.001), and total protein <60 g/L (OR=1.741; 95% CI: 1.039–2.919; P=0.035) were associated with LAT. The nomogram prediction model called “ADPLCP” (age, duration, platelet, leukocyte, creatinine clearance, protein) was established based on logistic regression. The area under the curve (AUC) of ADPLCP was 0.802 (95% CI: 0.748–0.856; P <0.0001), with 78.9% sensitivity and 69.2% specificity (cut-off was 108). Risk stratification for LAT was performed based on “ADPLCP.” Total points of <100 were defined as low risk, and the possibility of LAT was <32.0%. Total points of 100–150 were defined as medium risk, and the possibility of LAT was 32.0–67.5%. A total point >150 was defined as high risk, and the probability of LAT was >67.5%.

Conclusions

We created the ADPLCP risk score scale to predict the occurrence of LAT in elderly individuals. ADPLCP is simple and feasible and is helpful for the early determination of LAT to guide drug withdrawal or early intervention.

Nutrition is one of the foundations for supporting and treating critically ill patients. Nutritional support provides calories, protein, electrolytes, vitamins, and trace elements via the enteral or parenteral route. Acute kidney injury (AKI) is a common and devastating problem in critically ill patients and has significant metabolic and nutritional consequences. Moreover, renal replacement therapy (RRT), whatever the modality used, also profoundly impacts metabolism. RRT and of the extracorporeal circuit impede ‘effect the evaluation of a patient's energy requirements by clinicians. Substrates added and removed within the extracorporeal treatment are not always taken into consideration, making treatment even more challenging. Furthermore, evidence on nutritional support during continuous renal replacement therapy (CRRT) is scarce, and there are no clinical guidelines for nutrition adaptations during CRRT in critically ill patients. Most recommendations are based on expert opinions. This review discusses the complex interaction between nutritional support and CRRT and presents some milestones for nutritional support in critically ill patients on CRRT.

High resistance rates to antimicrobials continue to be a global health threat. The incidence of multidrug-resistant (MDR) microorganisms in intensive care units (ICUs) is quite high compared to in the community and other units in the hospital because ICU patients are generally older, have higher numbers of co-morbidities and immune-suppressed; moreover, the typically high rates of invasive procedures performed in the ICU increase the risk of infection by MDR microorganisms. Antimicrobial stewardship (AMS) refers to the implementation of coordinated interventions to improve and track the appropriate use of antibiotics while offering the best possible antibiotic prescription (according to dose, duration, and route of administration). Broad-spectrum antibiotics are frequently preferred in ICUs because of greater infection severity and colonization and infection by MDR microorganisms. For this reason, a number of studies on AMS in ICUs have increased in recent years. Reducing the use of broad-spectrum antibiotics forms the basis of AMS. For this purpose, parameters such as establishing an AMS team, limiting the use of broad-spectrum antimicrobials, terminating treatments early, using early warning systems, pursuing infection control, and providing education and feedback are used. In this review, current AMS practices in ICUs are discussed.