OBJECTIVE

This study aimed to identify the different risk factors for developing sepsis in patients undergoing percutaneous nephrolithotomy

This is a case-control study of all patients who underwent percutaneous nephrolithotomy in the National Kidney and Transplant Institute from 2017 to 2021. Demographic, stone characteristics, perioperative data and post-operative parameters were recorded. The association of clinical variables and sepsis was determined using logistic regression analysis.

A total of 536 patients who underwent percutaneous nephrolithotomy were included in the study with 58 of them suffering from sepsis with a prevalence rate of 9.9%. The majority [392 (67.82%)] of the patients were 31-59 years old. Majority of patients suffering from sepsis also belonged to the same age group were predominantly male [33 (56.9%)], mostly diabetic [15 (26.32%)] and hypertensive [14 (24.56%)] and underwent previous PCNL [49 (8.45%)]. Imaging of patients who had sepsis showed staghorn calculi [30 (51.72%)] with mild [20 (34.48%)] and moderate [23 (39.66%)] seen on imaging. Patients who were requiring transfusion post operatively (Grade II Clavien-Dindo Classification) were seen to have sepsis.

The following factors are contributory to the development of sepsis: a high Guy's stone score, high degree of obstruction or hydronephrosis, previous stone surgery and a higher volume of blood loss.

OBJECTIVE: To analyze the clinical characteristics of elderly patients with sepsis, identify the key factors affecting their clinical outcomes, construct a death risk assessment scale for elderly patients with sepsis, and evaluate its predictive value. METHODS: A retrospective case-control study was conducted. The clinical data of sepsis patients admitted to intensive care unit (ICU) of the First Affiliated Hospital of Wenzhou Medical University from September 2021 to September 2023 were collected, including basic information, clinical characteristics, and clinical outcomes. The patients were divided into non-elderly group (age ≥ 65 years old) and elderly group (age < 65 years old) based on age. Additionally, the elderly patients were divided into survival group and death group based on their 30-day survival status. The clinical characteristics of elderly patients with sepsis were analyzed. Univariate and multivariate Logistic regression analyses were used to screen the independent risk factors for 30-day death in elderly patients with sepsis, and the regression equation was constructed. The regression equation was simplified, and the death risk assessment scale was established. The predictive value of different scores for the prognosis of elderly patients with sepsis was compared. RESULTS: (1) A total of 833 patients with sepsis were finally enrolled, including 485 in the elderly group and 348 in the non-elderly group. Compared with the non-elderly group, the elderly group showed significantly lower counts of lymphocyte, T cell, CD8⁺ T cell, and the ratio of T cells and CD8⁺ T cells [lymphocyte count (×10⁹/L): 0.71 (0.43, 1.06) vs. 0.83 (0.53, 1.26), T cell count (cells/μL): 394.0 (216.0, 648.0) vs. 490.5 (270.5, 793.0), CD8⁺ T cell count (cells/μL): 126.0 (62.0, 223.5) vs. 180.0 (101.0, 312.0), T cell ratio: 0.60 (0.48, 0.70) vs. 0.64 (0.51, 0.75), CD8⁺ T cell ratio: 0.19 (0.13, 0.28) vs. 0.24 (0.16, 0.34), all P < 0.01], higher natural killer cell (NK cell) count, acute physiology and chronic health evaluation II (APACHE II) score, ratio of invasive mechanical ventilation (IMV) during hospitalization, and 30-day mortality [NK cell count (cells/μL): 112.0 (61.0, 187.5) vs. 95.0 (53.0, 151.0), APACHE II score: 16.00 (12.00, 21.00) vs. 13.00 (8.00, 17.00), IMV ratio: 40.6% (197/485) vs. 31.9% (111/348), 30-day mortality: 28.9% (140/485) vs. 19.5% (68/348), all P < 0.05], and longer length of ICU stay [days: 5.5 (3.0, 10.0) vs. 5.0 (3.0, 8.0), P < 0.05]. There were no statistically significant differences in the levels of inflammatory markers such as C-reactive protein (CRP), procalcitonin (PCT), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), and interleukins (IL-2, IL-4, IL-6, IL-10) between the two groups. (2) In 485 elderly patients with sepsis, 345 survived in 30 days, and 140 died with the 30-day mortality of 28.9%. Compared with the survival group, the patients in the death group were older, and had lower body mass index (BMI), white blood cell count (WBC), PCT, platelet count (PLT) and higher IL-6, IL-10, N-terminal pro-brain natriuretic peptide (NT-proBNP), total bilirubin (TBil), blood lactic acid (Lac), and ratio of in-hospital IMV and continuous renal replacement therapy (CRRT). Multivariate Logistic regression analysis indicated that BMI [odds ratio (OR) = 0.783, 95% confidence interval (95%CI) was 0.678-0.905, P = 0.001], IL-6 (OR = 1.073, 95%CI was 1.004-1.146, P = 0.036), TBil (OR = 1.009, 95%CI was 1.000-1.018, P = 0.045), Lac (OR = 1.211, 95%CI was 1.072-1.367, P = 0.002), and IMV during hospitalization (OR = 6.181, 95%CI was 2.214-17.256, P = 0.001) were independent risk factors for 30-day death in elderly patients with sepsis, and the regression equation was constructed (Logit P = 1.012-0.244×BMI+0.070×IL-6+0.009×TBil+0.190×Lac+1.822×IMV). The regression equation was simplified to construct a death risk assessment scale, namely BITLI score. Receiver operator characteristic curve (ROC curve) analysis showed that the area under the ROC curve (AUC) of BITLI score for predicting death risk was 0.852 (95%CI was 0.769-0.935), and it was higher than APACHE II score (AUC = 0.714, 95%CI was 0.623-0.805) and sequential organ failure assessment (SOFA) score (AUC = 0.685, 95%CI was 0.578-0.793). The determined cut-off value of BITLI score was 1.50, while achieving a sensitivity of 83.3% and specificity of 74.0%. CONCLUSIONS Elderly patients with sepsis often have reduced lymphocyte counts, severe conditions, and poor prognosis. BMI, IL-6, TBil, Lac, and IMV during hospitalization were independent risk factors for 30-day death in elderly patients with sepsis. The BITLI score constructed based above risk factors is more precise and reliable than traditional APACHE II and SOFA scores in predicting the outcomes of elderly patients with sepsis.
Humans ; Sepsis/mortality* ; Aged ; Retrospective Studies ; Risk Assessment ; Case-Control Studies ; Prognosis ; Male ; Female ; Intensive Care Units ; Risk Factors ; Aged, 80 and over ; Logistic Models ; Middle Aged

OBJECTIVE: To explore the implementation effect of hour-1 bundle for sepsis patients based on crisis resource management (CRM) system. METHODS: A historical control study was conducted. The hour-1 bundle for sepsis based on CRM was used to train 24 nurses in the emergency department from October 2022 to March 2023. Clinical data of sepsis patients admitted to the emergency department of the First People's Hospital of Zunyi from April 2022 to September 2023 were collected. The patients were divided into three groups based on different stages of CRM system construction: control group (before construction, from April to September in 2022), improvement group (during construction, from October 2022 to March 2023) and observation group (after construction, from April to September in 2023). The baseline data, implementation rate of hour-1 bundle [including blood culture, antibiotic usage, blood lactic acid (Lac) detection, fluid resuscitation, hypertensors usage], identification and diagnosis time, and prognosis parameters [including correction rate of hypoxemia, intensive care unit (ICU) occupancy rate, and 28-day survival rate]. Sepsis cognition survey and non-technical skill (NTS) evaluation of nurses in emergency department were conducted before and after training. RESULTS: Finally 43 cases were enrolled in the control group, improvement group and observation group, respectively. There was no statistically significant difference in baseline data including the gender, age, primary site, heart rate, systolic blood pressure, acute physiology and chronic health evaluation II (APACHE II) score, sequential organ failure assessment (SOFA) score, mechanical ventilation ratio among the three groups with comparability. With the gradual improvement of the CRM system, the implementation rate of 1-hour bundle was gradually increased, and the implementation rate in the control group, improvement group and observation group were 65.12% (28/43), 74.42% (32/43) and 88.37% (38/43), respectively, with statistically significant difference (P < 0.05). It was mainly reflected in the completion rate of blood culture, antibiotic usage rate, Lac detection rate and hypertensors usage rate within 1 hour, which were significantly higher in the observation group than those in the control group [completion rate of blood culture: 90.70% (39/43) vs. 62.79% (27/43), antibiotic usage rate: 88.37% (38/43) vs. 60.47% (26/43), Lac detection rate: 93.02% (40/43) vs. 72.09% (31/43), hypertensors usage rate: 88.37% (38/43) vs. 60.47% (26/43), all P < 0.05]. The fluid resuscitation rates within 1 hour in the three groups were all over 90%, with no statistically significant difference among the three groups. The recognition and diagnosis time in the observation group was significantly shorter than that in the control group and the improvement group (hours: 0.41±0.15 vs. 0.61±0.21, 0.51±0.18, both P < 0.05), the correction rate of hypoxemia and 28-day survival rate were significantly higher than those in the control group [correction rate of hypoxemia: 95.35% (41/43) vs. 74.42% (32/43), 28-day survival rate: 83.72% (36/43) vs. 60.47% (26/43), both P < 0.05], and ICU occupancy rate was significantly lower than that in the control group [72.09% (31/43) vs. 93.02% (40/43), P < 0.05]. After training in the CRM system, the score of the sepsis awareness survey questionnaire for emergency department nurses was significantly increased as compared with before training (60.42±5.29 vs. 44.17±9.21, P < 0.01), and NTS also showed significant improvement. CONCLUSION CRM plays a significant role in promoting the implementation of sepsis hour-1 bundle, which can improve the implementation rate of hour-1 bundle and NTS of medical staff, effectively improve patients' hypoxemia, reduce patients' ICU occupancy rate and 28-day risk of death.
Humans ; Sepsis/therapy* ; Emergency Service, Hospital ; Patient Care Bundles ; Intensive Care Units ; Female ; Male ; Middle Aged

OBJECTIVE: To observe the characteristics of changes in non-invasive hemodynamic parameters in neonates with septic shock so as to provide clinical reference for diagnosis and treatment. METHODS: A observational study was conducted. The neonates with sepsis complicated with septic shock or not admitted to neonatal intensive care unit (NICU) of the First Affiliated Hospital of Shantou University Medical College were enrolled as the study subjects, who were divided into preterm infant (< 37 weeks) and full-term infant (≥ 37 weeks) according to the gestational age. Healthy full-term infants and hemodynamically stable preterm infants transferring to NICU after birth were enrolled as controls. Electronic cardiometry (EC) was used to measure hemodynamic parameters, including heart rate (HR), mean arterial pressure (MAP), stroke volume (SV), stroke volume index (SVI), cardiac output (CO), cardiac index (CI), systemic vascular resistance (SVR) and systemic vascular resistance index (SVRI), before treatment in the septic shock group, at the time of diagnosis of sepsis in the sepsis without shock group, and before the discharge from the obstetric department or on the day of transferring to NICU in the control group. RESULTS: Finally, 113 neonates with complete data and parental consent for non-invasive hemodynamic monitoring were enrolled, including 32 cases in the septic shock group, 25 cases in the sepsis without shock group and 56 cases in the control group. In the septic shock group, there were 17 cases at the compensated stage and 15 cases at the decompensated stage. There were 21 full-term infants (20 cured or improved and 1 died) and 11 premature infants (7 cured or improved and 4 died), with the mortality of 15.62% (5/32). There were 18 full-term infants and 7 premature infants in the sepsis without shock group and all cured or improved without death. The control group included 28 full-term infants and 28 premature infants transferring to NICU after birth. Non-invasive hemodynamic parameter analysis showed that SV, SVI, CO and CI of full-term infants in the septic shock group were significantly lower than those in the sepsis without shock group and control group [SV (mL): 3.52±0.99 vs. 5.79±1.32, 5.22±1.02, SVI (mL/m²): 16.80 (15.05, 19.65) vs. 27.00 (22.00, 32.00), 27.00 (23.00, 29.75), CO (L/min): 0.52±0.17 vs. 0.80±0.14, 0.72±0.12, CI (mL×s^-1×m^-2): 40.00 (36.67, 49.18) vs. 62.51 (56.34, 70.85), 60.01 (53.34, 69.68), all P < 0.05], while SVR and SVRI were significantly higher than those in the sepsis without shock group and control group [SVR (kPa×s×L^-1): 773.46±291.96 vs. 524.17±84.76, 549.38±72.36, SVRI (kPa×s×L^-1×m^-2): 149.27±51.76 vs. 108.12±12.66, 107.81±11.87, all P < 0.05]. MAP, SV, SVI, CO and CI of preterm infants in the septic shock group were significantly lower than those in the control group [MAP (mmHg, 1 mmHg ≈ 0.133 kPa): 38.55±10.48 vs. 47.46±2.85, SV (mL): 2.45 (1.36, 3.58) vs. 3.96 (3.56, 4.49), SVI (mL/m²): 17.60 (14.20, 25.00) vs. 25.50 (24.00, 29.00), CO (L/min): 0.32 (0.24, 0.63) vs. 0.56 (0.49, 0.63), CI (mL×s^-1×m^-2): 40.01 (33.34, 53.34) vs. 61.68 (56.68, 63.35), all P < 0.05], while SVR and SVRI were similar to the control group [SVR (kPa×s×L^-1): 1 082.88±689.39 vs. 656.63±118.83, SVRI (kPa×s×L^-1×m^-2): 126.00±61.50 vs. 102.37±11.68, both P > 0.05]. Further analysis showed that SV, SVI and CI of neonates at the compensation stage in the septic shock group were significantly lower than those in the control group [SV (mL): 3.60±1.29 vs. 4.73±1.15, SVI (mL/m²): 19.20±8.33 vs. 26.34±3.91, CI (mL×s^-1×m^-2): 46.51±20.34 vs. 61.01±7.67, all P < 0.05], while MAP, SVR and SVRI were significantly higher than those in the control group [MAP (mmHg): 52.06±8.61 vs. 48.54±3.21, SVR (kPa×s×L^-1): 874.95±318.70 vs. 603.01±111.49, SVRI (kPa×s×L^-1×m^-2): 165.07±54.90 vs. 105.09±11.99, all P < 0.05]; MAP, SV, SVI, CO and CI of neonates at the decompensated stage in the septic shock group were significantly lower than those in the control group [MAP (mmHg): 35.13±6.08 vs. 48.54±3.21, SV (mL): 2.89±1.17 vs. 4.73±1.15, SVI (mL/m²): 18.50±4.99 vs. 26.34±3.91, CO (L/min): 0.41±0.19 vs. 0.65±0.15, CI (mL×s^-1×m^-2): 43.34±14.17 vs. 61.01±7.67, all P < 0.05], while SVR and SVRI were similar to the control group [SVR (kPa×s×L^-1): 885.49±628.04 vs. 603.01±111.49, SVRI (kPa×s×L^-1×m^-2): 114.29±43.54 vs. 105.09±11.99, both P > 0.05]. CONCLUSIONS Full-term infant with septic shock exhibit a low cardiac output, high vascular resistance hemodynamic pattern, while preterm infant with septic shock show low cardiac output and normal vascular resistance. At the compensated stage the hemodynamic change is low output and high resistance type, while at the decompensated stage it is low output and normal resistance type. Non-invasive hemodynamic monitoring can assist in the identification of neonatal septic shock and provide basis for clinical diagnosis and treatment.
Humans ; Shock, Septic/physiopathology* ; Infant, Newborn ; Hemodynamics ; Female ; Male ; Case-Control Studies ; Infant, Premature

OBJECTIVE: To investigate the effects of using different filters in continuous renal replacement therapy (CRRT) on the mortality, inflammatory mediator level and hemodynamics in patients with sepsis-associated acute kidney injury (SA-AKI). METHODS: A prospective study was conducted. The patients with SA-AKI undergoing first CRRT admitted to the critical care medicine department of General Hospital of Ningxia Medical University from August 2022 to October 2023 were enrolled as the study objects, and they were divided into observation group and control group by random number table method. All patients received routine treatment including anti-infection, optimized volume management and organ function support. On this basis, the observation group was treated with oXiris filter for CRRT, while the control group was treated with ordinary filter for CRRT, and the first treatment time was ≥ 36 hours. General data of the two groups were collected and compared. At the same time, the inflammatory indicators [high-sensitivity C-reactive protein (hs-CRP), procalcitonin (PCT), interleukin-6 (IL-6)], sequential organ failure assessment (SOFA) score, mean arterial pressure (MAP), blood lactic acid (Lac), noradrenaline dosage and other related indicators were collected before CRRT treatment and 24 hours and 48 hours after treatment, and the 7-day and 28-day mortality of patients were recorded. RESULTS: Finally, 65 patients were enrolled, including 30 in the observation group and 35 in the control group. There were no significant differences in baseline data including age, gender, acute kidney injury (AKI) stage and infection source between the two groups. The 7-day mortality of observation group was significantly lower than that of control group [16.7% (5/30) vs. 42.9% (15/35), P < 0.05]. There was no significant difference in 28-day mortality between the observation group and the control group [36.7% (11/30) vs. 54.3% (19/35), P > 0.05]. There were no significant differences in inflammation indicators, SOFA score, MAP, Lac and norepinephrine dosage before treatment between the two groups. After 24-hour and 48-hour treatment, the hemodynamics of the two groups were stable compared with before treatment, the inflammatory indicators, SOFA score, Lac and norepinephrine dosage were reduced to varying degrees, and MAP was significantly increased. In the observation group, hs-CRP, PCT, IL-6, SOFA score, MAP, and norepinephrine dosage showed statistical significance at 24 hours after treatment as compared with before treatment [hs-CRP (mg/L): 125.0 (105.0, 171.2) vs. 280.5 (213.2, 313.8), PCT (μg/L): 51.0 (20.0, 62.8) vs. 71.0 (10.8, 100.0), IL-6 (ng/L): 1 762.2 (300.8, 4 327.5) vs. 4 447.5 (630.4, 5 000.0), SOFA score: 13.0 (12.0, 14.0) vs. 16.0 (15.0, 17.0), MAP (mmHg, 1 mmHg ≈ 0.133 kPa): 79.00±12.87 vs. 65.20±11.70, norepinephrine dosage (μg×kg^-1×min^-1): 0.82±0.33 vs. 1.63±0.51, all P < 0.05]. In the control group, PCT and MAP showed statistical significance after 48 hours of treatment as compared with before treatment. Compared with the control group, hs-CRP, SOFA score and norepinephrine dosage after 48 hours of treatment in the observation group were significantly decreased [hs-CRP (mg/L): 87.2 (74.2, 126.0) vs. 157.0 (88.0, 200.0), SOFA score: 11.0 (10.0, 12.0) vs. 12.0 (10.0, 14.0), norepinephrine dosage (μg×kg^-1×min^-1): 0.51±0.37 vs. 0.81±0.58, all P < 0.05], MAP was significantly increased (mmHg: 82.00±8.71 vs. 77.77±7.80, P < 0.05). CONCLUSION In the treatment of CRRT, oXiris filter can reduce the short-term mortality of SA-AKI patients, lower inflammatory mediators levels and improve hemodynamics, showing therapeutic advantages over conventional filters.
Humans ; Acute Kidney Injury/etiology* ; Sepsis/therapy* ; Prospective Studies ; Interleukin-6 ; Continuous Renal Replacement Therapy/methods* ; C-Reactive Protein ; Male ; Female ; Middle Aged ; Hemodynamics ; Procalcitonin ; Aged

Septic shock is a common acute and critical illness in intensive care medicine. It can lead to multiple organ failure, of which the heart is one of the target organs. Fluid resuscitation plays an important role in the treatment of septic shock, but when a patient develops septic-induced cardiomyopathy, the circulation is often not improved by fluid resuscitation, and may even lead to deterioration of circulation. On October 2, 2023, a 52-year-old female patient with septic shock was admitted to the department of intensive care medicine of Civil Aviation General Hospital, whose circulation deteriorated during fluid resuscitation. The main complaint of the patient was left face numbness for more than 20 days, aggravated with unconsciousness for 5 days. Upon admission, the patient was in a coma and intubated by oral tube. The blood pressure was 128/82 mmHg (1 mmHg ≈ 0.133 kPa; intravenous pump of norepinephrine 0.2 μg×kg^-1×min^-1). Chest CT indicated lung infection, and infection markers were elevated. The main diagnoses were septic shock, pneumonia, acute cerebral infarction of left pontine arm and etc. At 12 hours after admission, according to arterial and central vein blood gas analyses, the oxygen uptake rate was 31% (> 30%), and the veno-arterial blood partial pressure of carbon dioxide (Pv-aCO₂) was 7 mmHg (> 6 mmHg), blood lactic acid (Lac) increased, combined with the width of the inferior vena cava of 1.0-1.6 cm, also indicated a relative insufficiency of effective circulating blood volume, so appropriate fluid resuscitation was given. After fluid resuscitation, the urine volume of the patient increased from 40 mL/h to 100 mL/h, but the blood pressure did not increase significantly, indicating that there was no volume responsiveness, so dobutamine 3 μg×kg^-1×min^-1 was added to enhance myocardial contractility. The heart rate did not increase significantly, and the blood pressure was relatively stable. At 21 hours after admission, the patient's systolic blood pressure (SBP) suddenly dropped from 110-120 mmHg to 60-70 mmHg, while heart rate dropped from 100-110 bpm to 80-90 bpm. Therefore, the dosage of norepinephrine was increased to 2 μg×kg^-1×min^-1, and the dosage of dobutamine was increased to 10 μg×kg^-1×min^-1, but the circulation could not be maintained. In addition, no tension pneumothorax was found in the chest radiography, and blood routine did not indicate the possibility of acute blood loss. Troponin I (TnI) decreased from 3 778.8 ng/L to 2 025.9 ng/L, brain natriuretic peptide (BNP) increased from 15 ng/L to 1 638 ng/L. Myocardial enzymology changes were not consistent with acute myocardial infarction, and pulmonary hypertension was not found in cardiac color ultrasound. Therefore, it is considered that the decrease of blood pressure was caused by the decrease of cardiac function, which was combined with septic cardiomyopathy. After increasing the dobutamine pump dose to 20 μg×kg^-1×min^-1, lowering the infusion speed, reducing the cardiac preload, and continuing to use vasoactive drugs to boost blood pressure for about 1 hour, the patient's blood pressure increased, circulation became stable, and the rescue was successful. After 60 days of treatment, the pneumonia of the patient was effectively controlled, vasoactive drugs and dobutamine were successfully stopped, the patient was extubated, and was able to walk short distances with assistance when discharged. When the circulation of septic shock patients cannot be maintained, the three elements of maintaining blood pressure are effective circulating blood volume, cardiac function and peripheral vascular resistance. The three elements interact with each other and are affected by various factors. The difficulty of maintaining circulation in septic shock is to find out which is the main problem correctly. Individualized volume management, correct recognition and treatment of cardiac dysfunction, and rational use of vasoactive drugs are the keys to maintain circulation in septic shock patients.
Humans ; Shock, Septic/therapy* ; Middle Aged ; Female ; Fluid Therapy ; Resuscitation

Interleukin-18 (IL-18) and IL-37b have recently become a research hotspot because of their biological antagonistic role in inflammatory response. Sepsis is an abnormal inflammatory response-mediated life-threatening organ dysfunction induced by infection. Septic shock is the most severe form of sepsis, and has attracted great attention in clinical research due to its high mortality. Basophils are one of the classical effector cells in the inflammatory response, which are involved in many aspects of the pathological process of sepsis. IL-18 is an important pro-inflammatory cytokine and plays a key role in the inflammatory response, while IL-37b is known for its anti-inflammatory function. Both IL-18 and IL-37b can regulate the function of basophils and the inflammatory response in sepsis reversely through interleukin-18 receptor α (IL-18Rα). Therefore, it is of great clinical significance to investigate the role and mechanism of IL-18, IL-37b and basophils in the pathogenesis of sepsis. Herein, the relevant literatures on the roles and potential mechanisms of IL-18, IL-37b and basophils in the pathogenesis of sepsis are summarized, aiming to provide theoretical basis and novel ideas for the future research on the potential roles of IL-18, IL-37b and basophils in sepsis.
Humans ; Sepsis/immunology* ; Basophils/immunology* ; Interleukin-18/metabolism* ; Interleukin-1/metabolism* ; Animals

With the development of critical medical emergency technology, the success rate of sepsis treatment has been significantly improved, and the improvement of the long-term quality of life of sepsis survivors has also attracted more and more attention. ICU-acquired weakness (ICU-AW) refers to a group of syndromes with systemic and symmetrical muscle weakness during the intensive care unit (ICU) hospitalization and cannot be explained by the patient's own disease, which often involve diaphragm and skeletal muscle, resulting in difficulty in weaning and nosocomial infection. The incidence of ICU-AW in sepsis patients is over 50%, making it an important factor affecting the prognosis of these patients. The occurrence of sepsis ICU-AW is related to many factors, which can be summarized into two categories, including sepsis-related factors such as sepsis-associated inflammatory response, sepsis-associated encephalopathy (SAE), and treatment-related factors such as physical immobilization and insufficient nutritional support. The current ICU-AW risk assessment tools are mainly on subjective assessment scales, but there are some limitations in clinical application, and objective assessment tools including predictive model and imaging assessment, which are still in the research stage. "ABCDEF bundle strategy" is an important measure to prevent ICU-AW, in which early rehabilitation is the core element. This review of the literature from the risk factors, risk assessment and early rehabilitation of ICU-AW, and focuses on the timing, content, method and safety assessment of early rehabilitation, aims to improve the understanding of ICU-AW, strengthen the prevention of sepsis with ICU-AW, and improve the prognosis of sepsis patients, not only survive, but also live better.
Humans ; Sepsis/complications* ; Muscle Weakness/etiology* ; Intensive Care Units ; Prognosis ; Quality of Life

OBJECTIVE: To investigate the predictive value of oxygenation index (PaO₂/FiO₂) at intensive care unit (ICU) admission on 30-day mortality in patients with sepsis. METHODS: A retrospective study was conducted. Patients with sepsis who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical University from April 2015 to October 2023 were enrolled. The demographic information, comorbidities, sites of infection, vital signs and laboratory test indicators at the time of admission to the ICU, disease severity scores within 24 hours of admission to the ICU, treatment process and prognostic indicators were collected. According to the PaO₂/FiO₂ at ICU admission, patients were divided into Q1 group (PaO₂/FiO₂ of 4.1-16.4 cmHg, 1 cmHg ≈ 1.33 kPa), Q2 group (PaO₂/FiO₂ of 16.5-22.6 cmHg), Q3 group (PaO₂/FiO₂ of 22.7-32.9 cmHg), and Q4 group (PaO₂/FiO₂ of 33.0-94.8 cmHg). Differences in the indicators across the four groups were compared. Multifactorial Cox regression analysis was used to assess the relationship between PaO₂/FiO₂ and 30-day mortality of patients with sepsis. The predictive value of PaO₂/FiO₂, sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) on 30-day prognosis of patients with sepsis was analyzed by receiver operator characteristic curve (ROC curve). RESULTS: A total of 1 711 patients with sepsis were enrolled, including 428 patients in Q1 group, 424 patients in Q2 group, 425 patients in Q3 group, and 434 patients in Q4 group. 622 patients died at 30-day, the overall 30-day mortality was 36.35%. There were statistically significant differences in age, body mass index (BMI), history of smoking, history of alcohol consumption, admission heart rate, respiratory rate, APACHE II score, SOFA score, Glasgow coma score (GCS), site of infection, Combined chronic obstructive pulmonary disease (COPD), blood lactic acid (Lac), prothrombin time (PT), albumin (Alb), total bilirubin (TBil), pH, proportion of mechanical ventilation, duration of mechanical ventilation, proportion of vasoactive medication used, and maximal concentration, length of ICU stay, hospital stay, incidence of acute kidney injury, in-hospital mortality, 30-day mortality among the four groups. Multivariate Cox regression analysis showed that after adjusting for confounding factors, for every 1 cmHg increase in PaO₂/FiO₂ at ICU admission, the 30-day mortality risk decreased by 2% [hazard ratio (HR) = 0.98, 95% confidence interval (95%CI) was 0.98-0.99, P < 0.001]. The 30-day mortality risk in the Q4 group was reduced compared with the Q1 group by 41% (HR = 0.59, 95%CI was 0.46-0.76, P < 0.001). The fitted curve showed that a curvilinear relationship between PaO₂/FiO₂ and 30-day mortality after adjustment for confounders. In the inflection point analysis, for every 1 cmHg increase in PaO₂/FiO₂ at PaO₂/FiO₂ < 28.55 cmHg, the risk of 30-day death in sepsis patients was reduced by 5% (HR = 0.95, 95%CI was 0.94-0.97, P < 0.001); when PaO₂/FiO₂ ≥ 28.55 cmHg, there was no statistically significant association between PaO2/FiO2 and the increase in the risk of 30-day death in sepsis (HR = 1.01, 95%CI was 0.99-1.02, P = 0.512). ROC curve analysis showed that the area under the curve (AUC) for the prediction of 30-day mortality by admission PaO₂/FiO₂ in ICU sepsis patients was 0.650, which was lower than the predictive ability of the SOFA score (AUC = 0.698) and APACHE II score (AUC = 0.723). CONCLUSION In patients with sepsis, PaO₂/FiO₂ at ICU admission is strongly associated with 30-day mortality risk, alerting healthcare professionals to pay attention to patients with low PaO₂/FiO₂ for timely interventions.
Humans ; Sepsis/mortality* ; Intensive Care Units ; Retrospective Studies ; Prognosis ; Hospital Mortality ; Oxygen ; Male ; Predictive Value of Tests ; Female ; Middle Aged ; Aged

OBJECTIVE: To investigate the predictive value of early lactate/albumin ratio (LAR) combined with quick sequential organ failure assessment (qSOFA) for the 28-day prognosis of patients with sepsis caused by emergency community-acquired pneumonia (CAP). METHODS: The clinical data of patients with sepsis caused by CAP admitted to the department of emergency of Beijing Haidian Hospital from June 2021 to August 2022 were retrospectively analyzed, including gender, age, comorbidities, lactic acid (Lac), serum albumin (Alb), LAR, procalcitonin (PCT) within 1 hour, and 28-day prognosis. Patients were divided into two groups based on 28-day prognosis, and risk factors affecting patients' prognosis were analyzed using univariate and multivariate Cox regression methods. Patients were divided into two groups according to the best cut-off value of LAR, and Kaplan-Meier survival curves were used to analyze the 28-day cumulative survival of patients in each group. Time-dependent receiver operator characteristic curve (ROC curve) were plotted to analyze the predictive value of sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation II (APACHE II), and qSOFA+LAR score on the prognosis of patients with sepsis caused by CAP at 28 days. The area under the curve (AUC) was calculated and compared. RESULTS: A total of 116 patients with sepsis caused by CAP were included, of whom 80 survived at 28 days and 36 died, 28-day mortality of 31.0%. There were no statistically significant differences in age, gender, comorbidities, pH, platelet count, and fibrinogen between the survival and death groups, and there were significantly differences in blood urea nitrogen (BUN), white blood cell count (WBC), hemoglobin, Lac, Alb, PCT, D-dimer, LAR, as well as qSOFA score, SOFA score, and APACHE II score. Univariate Cox regression analyses showed that BUN, WBC, pH, Lac, Alb, PCT, LAR, qSOFA score, SOFA score, and APACHE II score were associated with mortality outcome. Multifactorial Cox regression analysis of the above variables showed that BUN, WBC, PCT, and APACHE II score were independent risk factors for 28-day death in the emergency department in patients with sepsis caused by CAP [hazard ratio (HR) were 1.081, 0.892, 1.034, and 1.135, respectively, all P < 0.05]. The best cut-off value of early LAR for predicting the 28-day prognosis of sepsis patients was 0.088, the Kaplan-Meier survival curve showed that the 28-day cumulative survival rate of sepsis patients in the LAR ≤ 0.088 group was significantly higher than that in the LAR > 0.088 group [82.9% (63/76) vs. 42.5% (17/40), Log-Rank test: χ² = 22.51, P < 0.001]. The qSOFA+LAR score was calculated based on the LAR cut-off value and qSOFA score, and ROC curve analysis showed that the AUCs of SOFA score, APACHE II score, and qSOFA+LAR score for predicting 28-day death of patients with sepsis caued by CAP were 0.741, 0.774, and 0.709, respectively, with the AUC of qSOFA+LAR score slightly lower than those of SOFA score and APACHE II score, but there were no significantly differences. When the best cut-off value of qSOFA+LAR score was 1, the sensitivity was 63.9% and the specificity was 80.0%. CONCLUSION The qSOFA+LAR score has predictive value for the 28-day prognosis of patients with sepsis caused by CAP in the emergency department, its predictive value is comparable to the SOFA score and the APACHE II score, and it is more convenient for early use in the emergency department.
Emergency Service, Hospital/statistics & numerical data* ; Sepsis/etiology* ; Prognosis ; Community-Acquired Pneumonia/mortality* ; Organ Dysfunction Scores ; Predictive Value of Tests ; Lactic Acid/blood* ; Serum Albumin, Human/analysis* ; Biomarkers/blood* ; Retrospective Studies ; Hospital Mortality ; Kaplan-Meier Estimate ; APACHE ; Procalcitonin/blood* ; ROC Curve ; Area Under Curve ; Humans