Nevin Manimala

Environ Sci Pollut Res Int. 2023 Jun 27. doi: 10.1007/s11356-023-28215-3. Online ahead of print.

ABSTRACT

Decoupling economic growth from environmental pollution for promoting low-carbon growth has become a global objective. Though the previous studies have mostly analyzed how environmental pollution can be reduced, not much emphasis was given to assessing how economic growth can be enhanced while limiting environmental damages in tandem. Hence, this study examines how carbon productivity is determined by energy productivity improvement, good governance, financial development, financial globalization, and international trade using data from 116 global economies. Overall, the analytical findings reveal that energy productivity improvement initially cannot decouple economic growth from environmental pollution by inhibiting carbon productivity. However, later on, using energy productively does manage to decouple economic growth from environmental pollution by boosting carbon productivity. Accordingly, the U-shaped nexus between these variables is confirmed by these statistical findings. Besides, the results also endorse the carbon productivity-boosting effects of good governance, financial development, and international trade while foreign direct investment receipts are not found to exert any significant impact on carbon productivity. On the other hand, the robustness tests’ results affirm that the carbon productivity-influencing impacts are heterogeneous across countries belonging from different categories of national income, carbon productivity, energy productivity, governance, and regional locations, as well. Nevertheless, the results overall confirm that countries having comparatively higher levels of energy productivity and governance are more likely to decouple the growth of their respective economies from environmental pollution. Based on these findings, some decoupling policies are recommended.

PMID:37368206 | DOI:10.1007/s11356-023-28215-3

Dig Dis Sci. 2023 Jun 27. doi: 10.1007/s10620-023-08013-0. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: Pancreaticobiliary diseases are common in the elderly. To this end, frailty represents a state of vulnerability that should be considered when assessing the risks and benefits of therapeutic endoscopic procedures. We aim to determine the rate of readmissions and clinical outcomes using the validated Hospital Frailty Risk Score in patients undergoing endoscopic retrograde cholangiopancreatography (ERCP).

METHODS: Using the National Readmissions Database, we identified patients with an admission diagnosis of cholangitis with obstructive stone from 2016 to 2019. Patients were determined to be of low frailty risk with a score of < 5, while patients of medium to high frailty risk had a score of > 5.

RESULTS: During the study period, 5751 patients were identified with acute cholangitis with obstructing stone. Mean age of index admissions was 69.4 years and 51.8% were female. From the total cohort, 5119 (89.2%) patients underwent therapeutic ERCP, 38.0% (n = 1947) of whom were regarded as frail (risk score > 5). Following ERCP, frail patients had a less but statistically insignificant readmission rate compared to non-frail patients (2.76% vs 4.05%, p = 0.450). However, compared to non-frail patients, frail patients experienced higher post-ERCP complications (6.20% vs 14.63%, p < 0.001). Frail patients were more likely to have longer lengths of stay, higher hospital cost, and mortality risk.

CONCLUSION: ERCP is not a risk factor for readmission among frail patients. However, frail patients are at higher risk for procedure-related complications, healthcare utilization, and mortality.

PMID:37368202 | DOI:10.1007/s10620-023-08013-0

Mol Biol Rep. 2023 Jun 27. doi: 10.1007/s11033-023-08493-3. Online ahead of print.

ABSTRACT

PURPOSE: Genetic factors play important role in the severity of the COVID-19 infection since SARS-CoV-2 binds to the ACE2 receptor on the surface of host cells. ACE2 polymorphisms that may influence the expression of ACE2 can alter patients’ susceptibility to COVID-19 infection or increase the severity of the disease. This study aimed to investigate the association between ACE2 rs2106809 polymorphism and the severity of the COVID-19 infection.

METHODS: In this cross-sectional study, ACE2 rs2106809 polymorphism was assessed in 142 COVID-19 patients. The disease was confirmed according to clinical symptoms, imaging, and laboratory findings. The severity of the disease was graded as severe versus non-severe based on the CDC. Genomic DNA was extracted from the whole blood and PCR- RFLP was performed to genotype the ACE2-rs2106809 with specific primers and Taq1 restriction enzyme.

RESULTS: G/G genotype was significantly associated with COVID-19 severity (44.4% in severe vs. 17.5% in non-severe, OR: 4.1; 95%CI: 1.8-9.5, p = 0.0007). Patients with the G/G genotype need more mechanical ventilation (p = 0.021). ACE2 expression in patients carrying the A/G genotype was higher in the severe compared to the non-severe form of the disease (2.99 ± 0.99 vs. 2.21 ± 1.1), but it was not statistically significant (p = 0.9).

CONCLUSION: The G allele and G/G genotype of ACE2 rs2106809 is associated with more severe COVID-19 and adverse disease outcomes.

PMID:37368197 | DOI:10.1007/s11033-023-08493-3

J Patient Rep Outcomes. 2023 Jun 27;7(1):59. doi: 10.1186/s41687-023-00604-9.

ABSTRACT

BACKGROUND: The Bristol Impact of Hypermobility questionnaire (BIoH) is the first condition-specific patient reported outcome measure for people with hypermobility-related conditions. The BIoH original version is in English, which limits its use for patients who speak other languages. The study aimed to translate and culturally adapt the BIoH into Arabic and determine its concurrent validity, reliability, internal consistency and smallest detectable change.

METHODS: Forward-backward translation and cross-sectional designs were used. The Ethics Committee of Kuwait Ministry of Health approved the study. Spearman correlation coefficient, intraclass correlation coefficient (ICC), and Cronbach’s α were used for statistical analysis. Patients with hypermobility spectrum disorders (HSD) were included, diagnosed using the 2017 classification framework.

RESULTS: 55 HSD patients were included, aged 26.0 (18.0) years old; median (IQR), and 85.5% were women. The BIoH showed very good concurrent validity when correlated with the SF-12 total and physical component scores; r = -0.743 and – 0.740, respectively (p < 0.05). Good correlation was identified between the BIoH and the SF-12 mental component score; r = -0.496 (p < 0.05). The BIoH demonstrated excellent test-retest reliability; ICC = 0.934 (0.749-0.983 95% CI) (p < 0.05), and high internal consistency (Cronbach’s α = 0.933). The smallest detectable change was 30.90 points, representing 19.8% of the mean baseline score.

CONCLUSIONS: The study successfully translated the BIoH into Arabic and demonstrated high psychometric properties. The translated score can help Arabic patients with HSD in their clinical evaluation process. Future research needs to determine the responsiveness of the Arabic version and translate the BIoH to other languages.

PMID:37368177 | DOI:10.1186/s41687-023-00604-9

Clin Cardiol. 2023 Jun 27. doi: 10.1002/clc.24076. Online ahead of print.

ABSTRACT

Atrial fibrillation (AF) patients are more susceptible to dementia, but the results about the effect of oral anticoagulants (OACs) on the risk of dementia are not consistent. We hypothesize that OAC is associated with a reduced risk of dementia with AF and that nonvitamin K antagonist oral anticoagulants (NOAC) are superior to vitamin K antagonists (VKA). Four databases were systematically searched until July 1, 2022. Two reviewers independently selected literature, evaluated quality, and extracted data. Data were examined using pooled hazard ratios (HRs) and 95% confidence intervals (CIs). Fourteen research studies involving 910 patients were enrolled. The findings indicated that OACs were associated with a decreased risk of dementia (pooled HR: 0.68, 95% CI: 0.55-0.82, I² = 87.7%), and NOACs had a stronger effect than VKAs (pooled HR: 0.87, 95% CI: 0.79-0.95, I² = 72%), especially in participants with a CHA2DS2VASc score ≥ 2 (pooled HR: 0.85, 95% CI: 0.72-0.99). Subgroup analysis demonstrated no statistical significance among patients aged <65 years old (pooled HR: 0.83, 95% CI: 0.64-1.07), patients in “based on treatment” studies (pooled HR: 0.89, 95% CI: 0.75-1.06), or people with no stroke background (pooled HR: 0.90, 95% CI: 0.71-1.15). This analysis revealed that OACs were related to the reduction of dementia incidence in AF individuals, and NOACs were better than VKAs, remarkably in people with a CHA2DS2VASc score ≥ 2. The results should be confirmed by further prospective studies, particularly in patients in “based on treatment” studies aged <65 years old with a CHA2DS2VASc score < 2 or without a stroke background.

PMID:37366141 | DOI:10.1002/clc.24076

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Jun;35(6):638-642. doi: 10.3760/cma.j.cn121430-20220913-00832.

ABSTRACT

OBJECTIVE: To investigate the prevalence, risk factors, duration and outcome of delirium in intensive care unit (ICU) patients.

METHODS: A prospective observational study was conducted for critically ill patients admitted to the department of critical care medicine, the Affiliated Hospital of Guizhou Medical University from September to November 2021. Delirium assessments were performed twice daily using the Richmond agitation-sedation scale (RASS) and confusion assessment method of ICU (CAM-ICU) for patients who met the inclusions and exclusion criteria. Patient’s age, gender, body mass index (BMI), underlying disease, acute physiologic assessment and chronic health evaluation (APACHE) at ICU admission, sequential organ failure assessment (SOFA) at ICU admission, oxygenation index (PaO₂/FiO₂), diagnosis, type of delirium, duration of delirium, outcome, etc. were recorded. Patients were divided into delirium and non-delirium groups according to whether delirium occurred during the study period. The clinical characteristics of the patients in the two groups were compared, and risk factors for the development of delirium were screened using univariate analysis and multivariate Logistic regression analysis.

RESULTS: A total of 347 ICU patients were included, and delirium occurred in 57.6% (200/347) patients. The most common type was hypoactive delirium (73.0% of the total). Univariate analysis showed statistically significant differences in age, APACHE score and SOFA score at ICU admission, history of smoking, hypertension, history of cerebral infarction, immunosuppression, neurological disease, sepsis, shock, glucose (Glu), PaO₂/FiO₂ at ICU admission, length of ICU stay, and duration of mechanical ventilation between the two groups. Multivariate Logistic regression analysis showed that age [odds ratio (OR) = 1.045, 95% confidence interval (95%CI) was 1.027-1.063, P < 0.001], APACHE score at ICU admission (OR = 1.049, 95%CI was 1.008-1.091, P = 0.018), neurological disease (OR = 5.275, 95%CI was 1.825-15.248, P = 0.002), sepsis (OR = 1.941, 95%CI was 1.117-3.374, P = 0.019), and duration of mechanical ventilation (OR = 1.005, 95%CI was 1.001-1.009, P = 0.012) were all independent risk factors for the development of delirium in ICU patients. The median duration of delirium in ICU patients was 2 (1, 3) days. Delirium was still present in 52% patients when they discharged from the ICU.

CONCLUSIONS: The prevalence of delirium in ICU patients is over 50%, with hypoactive delirium being the most common. Age, APACHE score at ICU admission, neurological disease, sepsis and duration of mechanical ventilation were all independent risk factors for the development of delirium in ICU patients. More than half of patients with delirium were still delirious when they discharged from the ICU.

PMID:37366132 | DOI:10.3760/cma.j.cn121430-20220913-00832

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Jun;35(6):615-619. doi: 10.3760/cma.j.cn121430-20230215-00092.

ABSTRACT

OBJECTIVE: To investigate the value of coronary computed tomographic angiography (CCTA)-based fractional flow reserve (CT-FFR) and plaque quantitative analysis in predicting adverse outcomes in patients with non-obstructive coronary heart disease (CAD).

METHODS: Clinical data of patients with non-obstructive CAD who underwent CCTA at the Affiliated Hospital of Jiangnan University from March 2014 to March 2018 were retrospectively analyzed and followed up, and the occurrence of major adverse cardiovascular event (MACE) was recorded. The patients were divided into MACE and non-MACE groups according to the occurrence of MACE. The clinical data, CCTA plaque characteristics including plaque length, stenosis degree, minimum lumen area, total plaque volume, non-calcified plaque volume, calcified plaque volume, plaque burden (PB) and remodelling index (RI), and CT-FFR were compared between the two groups. Multivaritate Cox proportional risk model was used to evaluate the relationship between clinical factors, CCTA parameters and MACE. The receiver operator characteristic curve (ROC curve) was used to assess the predictive power of outcome prediction model based on different CCTA parameters.

RESULTS: Finally 217 patients were included, of which 43 (19.8%) had MACE and 174 (80.2%) did not. The median follow-up interval was 24 (16, 30) months. The CCTA showed that patients in the MACE group had more severe stenosis than that in the non-MACE group [(44.3±3.8)% vs. (39.5±2.5)%], larger total plaque volume and non-calcified plaque volume [total plaque volume (mm³): 275.1 (197.1, 376.9), non-calcified plaque volume (mm³): 161.5 (114.5, 307.8) vs. 117.9 (77.7, 185.5)], PB and RI were larger [PB: 50.2% (42.1%, 54.8%) vs. 45.1% (38.2%, 51.7%), RI: 1.19 (0.93, 1.29) vs. 1.03 (0.90, 1.22)], CT-FFR value was lower [0.85 (0.80, 0.88) vs. 0.92 (0.87, 0.97)], and the differences were statistically significant (all P < 0.05). Cox regression analysis showed that non-calcified plaques volume [hazard ratio (HR) = 1.005. 95% confidence interval (95%CI) was 1.025-4.866], PB ≥ 50% (HR = 3.146, 95%CI was 1.443-6.906), RI ≥ 1.10 (HR = 2.223, 95%CI was 1.002-1.009) and CT-FFR ≤ 0.87 (HR = 2.615, 95%CI was 1.016-6.732) were independent predictors of MACE (all P < 0.05). The model based on CCTA stenosis degree+CT-FFR+quantitative plaque characteristics (including non-calcified plaque volume, RI, PB) [area under the ROC curve (AUC) = 0.91, 95%CI was 0.87-0.95] had significantly better predictive efficacy for adverse outcomes than the model based on CCTA stenosis degree (AUC = 0.63, 95%CI was 0.54-0.71) and the model based on CCTA stenosis degree+CT-FFR (AUC = 0.71, 95%CI was 0.63-0.79; both P < 0.01).

CONCLUSIONS: CT-FFR and plaque quantitative analysis based on CCTA are helpful in predicting adverse outcomes in patients with non-obstructive CAD. Non-calcified plaque volume, RI, PB and CT-FFR are important predictors of MACE. Compared with the prediction model based on stenosis degree and CT-FFR, the combined plaque quantitative index can significantly improve the prediction efficiency of adverse outcomes in patients with non-obstructive CAD.

PMID:37366128 | DOI:10.3760/cma.j.cn121430-20230215-00092

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Jun;35(6):610-614. doi: 10.3760/cma.j.cn121430-20230420-00299.

ABSTRACT

OBJECTIVE: To explore the relevant clinical test indicators that affect the prognosis of patients with acute fatty liver of pregnancy (AFLP), and to provide a basis for early diagnosis and correct selection of treatment methods.

METHODS: A retrospective analysis was conducted. Clinical data of AFLP patients in the intensive care unit (ICU) of the First Affiliated Hospital of Zhengzhou University from January 2010 to May 2021 were collected. According to the 28-day prognosis, the patients were divided into death group and survival group. The clinical data, laboratory examination indicators, and prognosis of the two groups were compared, and further binary Logistic regression analysis was used to analyze the risk factors affecting the prognosis of patients. At the same time, the values of related indicators at each time point (24, 48, 72 hours) after the start of treatment were recorded. The receiver operator characteristic curve (ROC curve) of prothrombin time (PT) and international normalized ratio (INR) for evaluating the prognosis of patients at each time point was drawn, and the area under the ROC curve (AUC) was calculated to evaluate the predictive value of relevant indicators at each time point for the prognosis of AFLP patients.

RESULTS: A total of 64 AFLP patients were selected. The patients developed the AFLP during pregnancy (34.5±6.8) weeks, with 14 deaths (mortality of 21.9%) and 50 survivors (survival rate of 78.1%). There was no statistically significant difference in general clinical data between the two groups of patients, including age, time from onset to visit, time from visit to cessation of pregnancy, acute physiology and chronic health evaluations II (APACHE II), hospitalization time in ICU, and total hospitalization cost. However, the proportion of male fetuses and stillbirths in the death group was higher than that in the survival group. The laboratory examination indicators including the white blood cell count (WBC), alanine transaminase (ALT), serum creatinine (SCr), PT extension, INR elevation, and hyperammonia in the death group were significantly higher than those in the survival group (all P < 0.05). Through Logistic regression analysis of the above indicators showed that PT > 14 s and INR > 1.5 were risk factors affecting the prognosis of AFLP patients [PT > 14 s: odds ratio (OR) = 1.215, 95% confidence interval (95%CI) was 1.076-1.371, INR > 1.5: OR = 0.719, 95%CI was 0.624-0.829, both P < 0.01]. ROC curve analysis showed that both PT and INR at ICU admission and 24, 48, and 72 hours of treatment can evaluate the prognosis of AFLP patients [AUC and 95%CI of PT were 0.772 (0.599-0.945), 0.763 (0.608-0.918), 0.879 (0.795-0.963), and 0.957 (0.904-1.000), respectively; AUC and 95%CI of INR were 0.808 (0.650-0.966), 0.730 (0.564-0.896), 0.854 (0.761-0.947), and 0.952 (0.896-1.000), respectively; all P < 0.05], the AUC of PT and INR after 72 hours of treatment was the highest, with higher sensitivity (93.5%, 91.8%) and specificity (90.9%, 90.9%).

CONCLUSIONS: AFLP often occurs in the middle and late stages of pregnancy, and the initial symptoms are mainly gastrointestinal symptoms. Once discovered, pregnancy should be terminated immediately. PT and INR are good indicators for evaluating AFLP patient efficacy and prognosis, and PT and INR are the best prognostic indicators after 72 hours of treatment.

PMID:37366127 | DOI:10.3760/cma.j.cn121430-20230420-00299

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Jun;35(6):578-585. doi: 10.3760/cma.j.cn121430-20220830-00799.

ABSTRACT

OBJECTIVE: To investigate the correlation between early-stage blood pressure indexes and prognosis in sepsis patients.

METHODS: A retrospective cohort study was conducted on the medical records of patients diagnosed with sepsis from 2001 to 2012 in the Medical Information Mart for Intensive Care-III (MIMIC-III) database. Patients were divided into survival group and death group according to the 28-day prognosis. General data of patients and heart rate (HR) and blood pressure at admission to ICU and within 24 hours after admission were collected. The blood pressure indexes including the maximum, median and mean value of systolic index, diastolic index and mean arterial pressure (MAP) index were calculated. The data were randomly divided into training set and validation set (4 : 1). Univariate Logistic regression analysis was used to screen covariates, and multivariate Logistic stepwise regression models were further developed. Model 1 (including HR, blood pressure, and blood pressure index related variables with P < 0.1 and other variables with P < 0.05) and Model 2 (including HR, blood pressure, and blood pressure index related variables with P < 0.1) were developed respectively. The receiver operator characteristic curve (ROC curve), precision recall curve (PRC) and decision curve analysis (DCA) curve were used to evaluate the quality of the two models, and the influencing factors of the prognosis of sepsis patients were analyzed. Finally, nomogram model was developed according to the better model and effectiveness of it was evaluated.

RESULTS: A total of 11 559 sepsis patients were included in the study, with 10 012 patients in the survival group and 1 547 patients in the death group. There were significant differences in age, survival time, Elixhauser comorbidity score and other 46 variables between the two groups (all P < 0.05). Thirty-seven variables were preliminarily screened by univariate Logistic regression analysis. After multivariate Logistic stepwise regression model screening, among the indicators related to HR, blood pressure and blood pressure index, the HR at admission to ICU [odds ratio (OR) = 0.992, 95% confidence interval (95%CI) was 0.988-0.997] and the maximum HR (OR = 1.006, 95%CI was 1.001-1.011), maximum MAP index (OR = 1.620, 95%CI was 1.244-2.126), mean diastolic index (OR = 0.283, 95%CI was 0.091-0.856), median systolic index (OR = 2.149, 95%CI was 0.805-4.461), median diastolic index (OR = 3.986, 95%CI was 1.376-11.758) were selected (all P < 0.1). There were 14 other variables with P < 0.05, including age, Elixhauser comorbidity score, continuous renal replacement therapy (CRRT), use of ventilator, sedation and analgesia, norepinephrine, norepinephrine, highest serum creatinine (SCr), maximum blood urea nitrogen (BUN), highest prothrombin time (PT), highest activated partial thromboplastin time (APTT), lowest platelet count (PLT), highest white blood cell count (WBC), minimum hemoglobin (Hb). The ROC curve showed that the area under the curve (AUC) of Model 1 and Model 2 were 0.769 and 0.637, respectively, indicating that model 1 had higher prediction accuracy. The PRC curve showed that the AUC of Model 1 and Model 2 were 0.381 and 0.240, respectively, indicating that Model 1 had a better effect. The DCA curve showed that when the threshold was 0-0.8 (the probability of death was 0-80%), the net benefit rate of Model 1 was higher than that of Model 2. The calibration curve showed that the prediction effect of the nomogram model developed according to Model 1 was in good agreement with the actual outcome. The Bootstrap verification results showed that the nomogram model was consistent with the above results and had good prediction effects.

CONCLUSIONS: The nomogram model constructed has good prediction effects on the 28-day prognosis in sepsis patients, and the blood pressure indexes are important predictors in the model.

PMID:37366122 | DOI:10.3760/cma.j.cn121430-20220830-00799

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Jun;35(6):573-577. doi: 10.3760/cma.j.cn121430-20221009-00900.

ABSTRACT

OBJECTIVE: To investigate the correlation of hemoglobin (Hb) level with prognosis of elderly patients diagnosed as sepsis.

METHODS: A retrospective cohort study was conducted. Information on the cases of elderly patients with sepsis in the Medical Information Mart for Intensive Care-IV (MIMIC-IV), including basic information, blood pressure, routine blood test results [the Hb level of a patient was defined as his/her maximum Hb level from 6 hours before admission to intensive care unit (ICU) and 24 hours after admission to ICU], blood biochemical indexes, coagulation function, vital signs, severity score and outcome indicators were extracted. The curves of Hb level vs. 28-day mortality risk were developed by using the restricted cubic spline model based on the Cox regression analysis. The patients were divided into four groups (Hb < 100 g/L, 100 g/L ≤ Hb < 130 g/L, 130 g/L ≤ Hb < 150 g/L, Hb ≥ 150 g/L groups) based on these curves. The outcome indicators of patients in each group were analyzed, and the 28-day Kaplan-Meier survival curve was drawn. Logistic regression model and Cox regression model were used to analyze the relationship between Hb level and 28-day mortality risk in different groups.

RESULTS: A total of 7 473 elderly patients with sepsis were included. There was a “U” curve relationship between Hb levels within 24 hours after ICU admission and the risk of 28-day mortality in patients with sepsis. The patients with 100 g/L ≤ Hb < 130 g/L had a lower risk of 28-day mortality. When Hb level was less than 100 g/L, the risk of death decreased gradually with the increase of Hb level. When Hb level was ≥ 130 g/L, the risk of death gradually increased with the increase of Hb level. Multivariate Logistic regression analysis revealed that the mortality risks of patients with Hb < 100 g/L [odds ratio (OR) = 1.44, 95% confidence interval (95%CI) was 1.23-1.70, P < 0.001] and Hb ≥ 150 g/L (OR = 1.77, 95%CI was 1.26-2.49, P = 0.001) increased significantly in the model involving all confounding factors; the mortality risks of patients with 130 g/L ≤ Hb < 150 g/L increased, while the difference was not statistically significant (OR = 1.21, 95%CI was 0.99-1.48, P = 0.057). The multivariate Cox regression analysis suggested that the mortality risks of patients with Hb < 100 g/L [hazard ratio (HR) = 1.27, 95%CI was 1.12-1.44, P < 0.001] and Hb ≥ 150 g/L (HR = 1.49, 95%CI was 1.16-1.93, P = 0.002) increased significantly in the model involving all confounding factors; the mortality risks of patients with 130 g/L ≤ Hb < 150 g/L increased, while the difference was not statistically significant (HR = 1.17, 95%CI was 0.99-1.37, P = 0.053). Kaplan-Meier survival curve showed that the 28-day survival rate of elderly septic patients in 100 g/L ≤ Hb < 130 g/L group was significantly higher than that in Hb < 100 g/L, 130 g/L ≤ Hb < 150 g/L and Hb ≥ 150 g/L groups (85.26% vs. 77.33%, 79.81%, 74.33%; Log-Rank test: χ² = 71.850, P < 0.001).

CONCLUSIONS: Elderly patients with sepsis exhibited low mortality risk if their 100 g/L ≤ Hb < 130 g/L within 24 hours after admission to ICU, and both higher and lower Hb levels led to increased mortality risks.

PMID:37366121 | DOI:10.3760/cma.j.cn121430-20221009-00900