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BACKGROUND: The serum lactate level has been confirmed to be an independent risk factor for the occurrence of acute kidney injury (AKI) in many diseases. However, the correlation between serum lactate level and AKI in critical patients with acute ischemic stroke (AIS) has not been clear. Moreover, limited studies have examined the mediating effect of serum glucose on the association between serum lactate and AKI. METHODS: We identified 1,435 AIS patients from the Medical Information Mart for Intensive Care (MIMIC-III) database and divided them into AKI or No-AKI groups. We used a propensity score matching method to reduce confounding factors. Linear regression, logistic regression, and restricted cubic splines (RCS) plots were used to evaluate relationships between serum lactate levels and AKI. Finally, the mediating role of serum glucose on the relationship between serum lactate and AKI was investigated utilizing the mediation analysis. RESULTS: In the present study, a total of 634 critical patients aged ≥ 18 years with AIS were included after propensity score matching (1:1). We used RCS plotting to reveal a linear association between serum lactate levels and AKI (P for nonlinearity < 0.001). After full adjustment for potential confounders (Model 3), high lactate levels increased the risk of AKI (odds ratio, 2.216; 95 % confidence interval, 1.559-3.271; P-value < 0.001). Serum glucose explained 14.9 % of the association between serum lactate and AKI among critical patients with AIS (P-value < 0.001), 16.4 % among patients with AIS and diabetes mellitus (DM) (P-value = 0.24), and 19.5 % among patients with AIS and without DM (P-value < 0.001). CONCLUSION: Serum lactate was independently associated with increased risk-adjusted AKI in critical patients with AIS. The increase in serum glucose may have mediated this effect, especially in patients without DM.

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Introduction: The usual methods of perfusion assessment in patients with shock, such as capillary refill time, skin mottling, and serial serum lactate measurements have many limitations. Veno-arterial difference in the partial pressure of carbon dioxide (PCO2 gap) is advocated being more reliable. We evaluated serial change in PCO2 gap during resuscitation in circulatory shock and its effect on ICU outcomes. Materials and methods: This prospective observational study included 110 adults with circulatory shock. Patients were resuscitated as per current standards of care. We recorded invasive arterial pressure, urine output, cardiac index (CI), PCO2 gap at ICU admission at 6, 12, and 24 hours, and various patient outcomes. Results: Significant decrease in PCO2 gap was observed at 6 h and was accompanied by improvement in serum lactate, mean arterial pressure, CI and urine output in (n = 61). We compared these patients with those in whom this decrease did not occur (n = 49). Mortality and ICU LOS was significantly lower in patients with low PCO2 gap, while more patients with high PCO2 gap required RRT. Conclusion: We found that a persistently high PCO2 gap at 6 and 12 h following resuscitation in patients with shock of various etiologies, was associated with increased mortality, need for RRT and increased ICU LOS. High PCO2 gap had a moderate discriminative ability to predict mortality. How to cite this article: Zirpe KG, Tiwari AM, Kulkarni AP, Vaidya HS, Gurav SK, Deshmukh AM, et al. The Evolution of Central Venous-to-arterial Carbon Dioxide Difference (PCO2 Gap) during Resuscitation Affects ICU Outcomes: A Prospective Observational Study. Indian J Crit Care Med 2024;28(4):349-354.

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BACKGROUND: Serum lactate, as a single and an easily available biomarker, has been applied in various diseases. AIMS: In this study, we aimed to explore the predictive value of serum lactate for short-term and long-term prognosis in acute pancreatitis (AP) admitted in intensive care unit (ICU) based on a large-scale database. METHODS: AP patients admitted in ICU in the MIMIC-IV database were included. We constructed three different models to investigate the relationships between serum lactate and clinical outcomes, including 30-day, 180-day and 1-year mortality in AP. Smooth fitting curves were performed for intuitively demonstrating the relationship between serum lactate and different outcomes in AP by the generalized additive model. RESULTS: A total of 895 AP patients admitted in ICU were included. The mortalities of 30 days, 180 days, and 1 year were 12.63% (n = 113), 16.87% (n = 151), and 17.54% (n = 157). In model B, with 1-mmol/L increment in serum lactate, the values of OR in 30-day, 180-day and 1-year mortality were 1.20 (95%CI 1.04-1.37, P = 0.0094), 1.21 (95%CI 1.06-1.37, P = 0.0039), and 1.21 (95%CI 1.07-1.38, P = 0.0035). The AUCs of serum lactate for predicting 30-day, 180-day, and 1-year mortality in AP were 0.688 (95%CI 0.633-0.743), 0.655 (95%CI 0.605-0.705), and 0.653 (95%CI 0.603-0.701), respectively. The cut-off value of serum lactate predicting 30-day, 180-day and 1-year mortality in AP was 2.4 mmol/L. CONCLUSION: Serum lactate could be an indicator for short-term and long-term mortality in patients with AP admitted in ICU.

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Purpose: To establish nomograms integrating serum lactate levels and traditional risk factors for predicting diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) patients. Patients and methods: A total of 570 T2DM patients and 100 healthy subjects were enrolled. T2DM patients were categorized into normal and high lactate groups. Univariate and multivariate logistic regression analyses were employed to identify independent predictors for DKD. Then, nomograms for predicting DKD were established, and the model performance was evaluated using the area under the receiver operating characteristic curve (AUC), calibration, and decision curve analysis (DCA). Results: T2DM patients exhibited higher lactate levels compared to those in healthy subjects. Glucose, platelet, uric acid, creatinine, and hypertension were independent factors for DKD in T2DM patients with normal lactate levels, while diabetes duration, creatinine, total cholesterol, and hypertension were indicators in high lactate levels group (P<0.05). The AUC values were 0.834 (95% CI, 0.776 to 0.891) and 0.741 (95% CI, 0.688 to 0.795) for nomograms in both normal lactate and high lactate groups, respectively. The calibration curve demonstrated excellent agreement of fit. Furthermore, the DCA revealed that the threshold probability and highest Net Yield were 17-99% and 0.36, and 24-99% and 0.24 for the models in normal lactate and high lactate groups, respectively. Conclusion: The serum lactate level-based nomogram models, combined with traditional risk factors, offer an effective tool for predicting DKD probability in T2DM patients. This approach holds promise for early risk assessment and tailored intervention strategies.

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Preoperative serum lactate dehydrogenase (LDH) has been reported to be associated with adverse outcomes following thoracic surgery. However, its association with outcomes in noncardiac surgery as a whole has not been investigated. We conducted a retrospective cohort study at West China Hospital, Sichuan University, from 2018 to 2020, including patients undergoing noncardiac surgery. Multivariable logistic regression and propensity score weighting were employed to assess the link between LDH levels and postoperative outcomes. Preoperative LDH was incorporated into four commonly used clinical models, and its discriminative ability, reclassification, and calibration were evaluated in comparison to models without LDH. Among 130,879 patients, higher preoperative LDH levels (cut-off: 220 U/L) were linked to increased in-hospital mortality (4.382% vs. 0.702%; OR 1.856, 95% CI 1.620-2.127, P < 0.001), myocardial injury after noncardiac surgery (MINS) (3.012% vs. 0.537%; OR 1.911, 95% CI 1.643-2.223, P < 0.001), and ICU admission (15.010% vs. 6.414%; OR 1.765, 95% CI 1.642-1.896, P < 0.001). The inverse probability of treatment-weighted estimation supported these results. Additionally, LDH contributed significantly to four surgical prognostic models, enhancing their predictive capability. Our study revealed a significant association between preoperative LDH and in-hospital mortality, MINS, and ICU admission following noncardiac surgery. Moreover, LDH provided supplementary predictive information, extending the utility of commonly used surgical prognostic scores.

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BACKGROUND: Apart from being one of the main causes of death, sepsis has recently been considered a chronic critical illness. This has resulted in the implementation of standard treatment recommendations for management, with a focus on the initial phases of treatment. Early detection of sepsis and prognostic grading are now crucial for management. Despite the fact that sequential organ failure assessment score (SOFA), acute physiology, and chronic health evaluation II score (APACHE II) have been widely used in sepsis, there have been shortcomings such as feasibility and many lab parameters involved. As a result, this study was conducted to evaluate the role of serum lactate as an early marker and to compare it to current scoring systems for determining the outcome of sepsis. METHODS AND MATERIAL: This was an observational hospital-based study with 60 individuals recruited over a one-year period from July 2021 to June 2022. Serum lactate, as well as the other laboratory tests required for the computation of SOFA and APACHE II, were performed. The baseline data and the trend of lactate vs standard scores were examined in the first 48 hours, as well as their impact on outcomes in sepsis patients (as measured by mortality rates- patients were followed up for 28 days). The diagnostic accuracy of these scores was calculated using the area under the receiver operating characteristic (ROC) curve (AUROC). RESULTS: The study enrolled 60 people out of a total of 162 people who were screened. The mean age was 48.4 years, with the highest mortality occurring between the ages of 41 and 60 years. Of the total 60 participants, 34 (56.6%) were male, with the respiratory tract being the most common source of infection for sepsis (36.67%). In our study, 46 patients survived while 14 patients died. The mean lactate on admission was 3.1 mmol/L in survivors and 4 mmol/L in non-survivors, whereas APACHE II was 9 and 12.36, and SOFA was 3.63 and 7.79, respectively, in survivors and non-survivors. Serum lactate and prognosis scores were compared in the survivor and non-survivor groups, and the difference in diagnostic accuracy was found to be statistically significant. CONCLUSIONS: Serum lactate can be used as an early recognition marker in patients with a probability of sepsis and serial lactate monitoring has a similar diagnostic accuracy in predicting outcomes as the traditional prognostic scoring systems SOFA and APACHE II.

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BACKGROUND: Postoperative pediatric congenital heart patients are predisposed to develop low-cardiac output syndrome. Serum lactate (lactic acid [LA]) is a well-defined marker of inadequate systemic oxygen delivery. OBJECTIVES: We hypothesized that a near real-time risk index calculated by a noninvasive predictive analytics algorithm predicts elevated LA in pediatric patients admitted to a cardiac ICU (CICU). DERIVATION COHORT: Ten tertiary CICUs in the United States and Pakistan. VALIDATION COHORT: Retrospective observational study performed to validate a hyperlactatemia (HLA) index using T3 platform data (Etiometry, Boston, MA) from pediatric patients less than or equal to 12 years of age admitted to CICU (n = 3,496) from January 1, 2018, to December 31, 2020. Patients lacking required data for module or LA measurements were excluded. PREDICTION MODEL: Physiologic algorithm used to calculate an HLA index that incorporates physiologic data from patients in a CICU. The algorithm uses Bayes' theorem to interpret newly acquired data in a near real-time manner given its own previous assessment of the physiologic state of the patient. RESULTS: A total of 58,168 LA measurements were obtained from 3,496 patients included in a validation dataset. HLA was defined as LA level greater than 4 mmol/L. Using receiver operating characteristic analysis and a complete dataset, the HLA index predicted HLA with high sensitivity and specificity (area under the curve 0.95). As the index value increased, the likelihood of having higher LA increased (p < 0.01). In the validation dataset, the relative risk of having LA greater than 4 mmol/L when the HLA index is less than 1 is 0.07 (95% CI: 0.06-0.08), and the relative risk of having LA less than 4 mmol/L when the HLA index greater than 99 is 0.13 (95% CI, 0.12-0.14). CONCLUSIONS: These results validate the capacity of the HLA index. This novel index can provide a noninvasive prediction of elevated LA. The HLA index showed strong positive association with elevated LA levels, potentially providing bedside clinicians with an early, noninvasive warning of impaired cardiac output and oxygen delivery. Prospective studies are required to analyze the effect of this index on clinical decision-making and outcomes in pediatric population.

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PURPOSE: This research aimed to evaluate the prognostic significance of baseline prognostic nutritional index (PNI) and lactate dehydrogenase (LDH) for the outcome of individuals diagnosed with non-metastatic nasopharyngeal carcinoma (NPC). METHODS: A retrospective analysis was conducted on data from 810 patients with non-metastatic NPC who underwent intensity-modulated radiation therapy (IMRT) with or without chemotherapy. The best cut-offs for PNI and LDH were identified by X-tile software to be 48.5 and 150, respectively. To find the independent prognostic factors for survival outcomes, univariate and multivariate regression analyses were conducted, and AUCs were used to compare their prognostic values. RESULTS: Multivariate analysis revealed that patients with PNI > 48.5 had better overall survival (OS) (HR: 0.502, P < 0.001), progression-free survival (PFS) (HR: 0.618, P < 0.001), and distant metastasis-free survival (DMFS) (HR: 0.637, P = 0.005). Higher LDH was associated with poorer OS (HR: 1.798, P < 0.001), PFS (HR: 1.671, P < 0.001), and DMFS (HR: 1.756, P < 0.001). The combination of low PNI and high LDH in non-metastatic NPC patients was correlated with poor OS (P < 0.001), PFS (P < 0.001), and DMFS (P < 0.001). The combination of PNI and LDH had the highest AUCs for predicting OS, PFS, and DMFS. CONCLUSIONS: PNI and LDH might become valuable predictors of the prognosis of non-metastatic NPC patients undergoing IMRT with or without chemotherapy. Prognostic accuracy can be enhanced by combining PNI and LDH.

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PURPOSE: The Warburg Effect, referring to an elevation in serum lactate level attributable to increased tumor metabolism, is present in patients with brain tumors. This study comprehensively analyzes the Warburg effect in patients undergoing brain tumor resection. METHODS: We retrospectively analyzed the baseline intraoperative serum lactate levels of 2,053 patients who underwent craniotomies, including 415 with cerebral aneurysms and 1,638 with brain tumors. The brain tumor group was divided into subgroups based on the tumor pathology (extra-axial and intra-axial tumor) and the WHO tumor grade (high-grade and low-grade). RESULTS: Serum lactate level was significantly higher in the tumor group than in the aneurysm group (1.98 ± 0.97 vs. 1.09 ± 0.57 mmol/L, p < 0.001). The hyperlactatemia incidence (serum lactate level > 2.2 mmol/L) was higher in the tumor group (33.5 vs. 3.1%, p < 0.001). Severe hyperlactatemia (serum lactate level > 4.4 mmol/L) was found in 34 patients (2.1%) of only the tumor group. In patients with intra-axial tumors, serum lactate level was greater in high- than low-grade tumors (2.10 ± 1.05 vs. 1.88 ± 0.92 mmol/L, p = 0.006). Factors predictive of hyperlactatemia included supratentorial tumor location (odds ratio[95%CI] 2.926[2.127-4.025], p < 0.001) and a long tumor diameter (1.071[1.007-1.139], p = 0.028). In high-grade intra-axial brain tumor patients, there was a significant difference in overall survival between patients with hyperlactatemia than those without (p = 0.048). CONCLUSION: Our results show that brain tumor patients exhibit the Warburg effect and serum lactate may be a useful diagnostic and prognostic biomarker in patients with high-grade intra-axial brain tumors.

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Background and objective Sepsis is a major health burden that leads to significant morbidity and mortality. Early diagnosis and severity prediction using various scoring systems can reduce the mortality rate, particularly in developing nations. There are two aims of this study. One is to evaluate the prognostic accuracy of the Sequential Organ Failure Assessment (SOFA) score and serum lactate levels in patients with sepsis to predict mortality. The other aim is to evaluate the relationship between the SOFA score and lactate so that we may be able to use lactate as a surrogate predictor of organ dysfunction and mortality in sepsis. Methods An observational prognostic accuracy study was conducted in the Department of General Surgery, Intensive Care Unit (ICU), Rajendra Institute of Medical Sciences (RIMS), Ranchi, Jharkhand, India, between 1 July 2021 and 1 October 2022. We selected 128 patients, calculated their SOFA and lactate levels, and divided them into survivors and non-survivors according to their outcomes after seven days of assessment. The SOFA score and serum lactate levels were assessed as predictors of mortality, and their correlation was studied. Results We observed a significant decreasing trend in the value of the mean SOFA, maximum SOFA, mean lactate, and maximum lactate among survivors, whereas an increasing trend for the same was observed in non-survivors. The receiver operating characteristic (ROC) analysis showed the best diagnostic accuracy of the mean lactate (area under the curve {AUC}=0.996, 95% confidence interval {CI}=0.964-1.00, p≤0.0001). The maximum lactate (AUC=0.987, 95% CI=0.949-0.999, p≤0.0001) and mean SOFA scores (AUC=0.986, 95% CI=0.948-0.999, p≤0.0001) were good at predicting the mortality in sepsis. A slightly lower diagnostic accuracy was found for the maximum SOFA score (AUC=0.969, 95% CI=0.923-0.992, p≤0.0001). There was a strong correlation between the mean lactate and the mean SOFA with a correlation coefficient of 0.883 and p=0.0001. A good correlation was found between maximum lactate and maximum SOFA too (correlation coefficient=0.873, p≤0.0001). Conclusion This study highlights the different predictors of mortality in the patients with sepsis. The maximum lactate was the most accurate in predicting mortality in sepsis. It also demonstrates how serum lactate, due to its strong correlation with the SOFA score, can be used in its place to predict mortality in sepsis and organ dysfunction.

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INTRODUCTION: Metformin toxicity following therapeutic use or overdose may result in metabolic acidosis with hyperlactatemia. This study aims to assess the relationship between serum lactate concentration, arterial pH, and ingested dose with severity of poisoning, and to identify if serum lactate concentration is a useful marker of severity in metformin toxicity. METHODS: A retrospective study of telephone enquiries relating to metformin exposures to the National Poisons Information Service between 2010 and 2019 from hospitals in the United Kingdom. RESULTS: Six-hundred and thirty-seven cases were identified; 117 involved metformin only and 520 involved metformin with other drugs. The majority of cases involved acute (87%) and intentional (69%) exposures. There was a statistically significant difference in doses between the Poisoning Severity Scores, as well as between intentional and unintentional or therapeutic error doses (P < 0.0001). The distribution of cases for each Poisoning Severity Score differed between the metformin only and metformin with other drugs cases (P < 0.0001). Lactic acidosis was reported in 232 cases. Serum lactate concentration and arterial pH differed across Poisoning Severity Scores. Arterial pH inversely correlated with ingested dose (r=-0.3, P = 0.003), and serum lactate concentration positively correlated with ingested dose (r = 0.37, P < 0.0001). Serum lactate concentration and arterial pH did not correlate with each other. Twenty-five deaths were recorded, all following intentional overdoses. DISCUSSION: The dataset focuses mostly on acute, intentional overdoses. Increasing ingested metformin dose, a higher serum lactate concentration and worsening arterial pH were all associated with an unfavourable Poisoning Severity Score in patients in both metformin only and metformin with other drugs groups. As serum lactate concentration did not correlate with arterial pH, it represents an independent marker of poisoning severity. CONCLUSIONS: Data from the present study suggest that serum lactate concentration can be used to assess severity of poisoning in patients who have reportedly ingested metformin.

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Introduction In cases of intestinal obstruction, increasing luminal dilatation compromises bowel wall perfusion, eventually resulting in intestinal ischemia and bowel necrosis in advanced cases. Elevated L-lactate, as a biomarker of ischemia, may indicate the presence of bowel ischemia in cases of obstruction. The objective of this study was to evaluate the value of serum L-lactate measurement in predicting the presence of intraoperatively observed intestinal ischemia in patients with acute intestinal obstruction. Methods Patients diagnosed with acute intestinal obstruction were prospectively studied over an 18-month period. Serum L-lactate values were assayed twice: at the time of presentation and following appropriate fluid resuscitation. Receiver operating characteristic (ROC) curve analysis was applied to determine the predictive value of serum L-lactate in detecting intestinal ischemia. Results One hundred forty-four cases of intestinal obstruction were included in this study, of which 91 underwent operative intervention. Intestinal ischemia was identified in 52 cases and categorized intra-operatively as reversible (n = 33) and irreversible (n = 19). ROC analysis showed a good predictive value of serum L-lactate after fluid resuscitation for irreversible intestinal ischemia (area under the curve (AUC) = 0.884, 95% confidence interval (CI), 0.812-0.956). An L-lactate cut-off of 19.1 mg/dL following fluid resuscitation was determined to have a sensitivity of 89.5%, a specificity of 72.9%, a positive predictive value of 46.6%, and a negative predictive value of 96.3% for gangrenous bowel. Conclusion Serum L-lactate is a good predictive tool for identifying intestinal ischemia during the management of intestinal obstruction. Serum L-lactate after resuscitation showed better predictive value for ischemic bowel.

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OBJECTIVE: Cardiopulmonary (CP) complications are well-known phenomena in patients with isolated traumatic brain injury (iTBI) that can lead to tissue hypoperfusion and hypoxia. Serum lactate level is a well-known biomarker, indicating these systemic dysregulations in various diseases, but this has not been investigated in iTBI patients so far. The current study evaluates the association between serum lactate levels upon admission and CP parameters within the first 24 h of intensive care unit (ICU) treatment in iTBI patients. PATIENTS AND METHODS: 182 patients with iTBI who were admitted to our neurosurgical ICU between December 2014 and December 2016 were retrospectively evaluated. Serum lactate levels on admission, demographic, medical, and radiological data upon admission, as well as several CP parameters within the first 24 h of ICU treatment, were analyzed, as well as the functional outcome at discharge. The total study population was dichotomized into patients with an elevated serum lactate level (lactate-positive) and patients with a low serum lactate level (lactate-negative) upon admission. RESULTS: 69 patients (37.9%) had an elevated serum lactate level upon admission, which was significantly associated with a lower Glasgow Coma Scale score (p = 0.04), a higher head AIS score (p = 0.03), and a higher Acute Physiology and Chronic Health Evaluation II score (p = 0.01) upon admission, as well as a higher modified Rankin Scale score (p = 0.002) and a lower Glasgow Outcome Scale score (p < 0.0001) at discharge. Furthermore, the lactate-positive group required a significantly higher norepinephrine application rate (NAR; p = 0.04) and a higher fraction of inspired oxygen (FiO2; p = 0.04) to maintain the defined CP parameters within the first 24 h. CONCLUSION: ICU-admitted iTBI patients with elevated serum lactate levels upon admission required higher CP support within the first 24 h of ICU treatment after iTBI. Serum lactate may be a helpful biomarker for improving ICU treatment in the early stages.

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Background: The aim of the study was to identify factors related to the need for hospitalization due to acute alcohol intoxication. Methods: The data of 42 patients with acute alcohol intoxication who visited our hospital from April 1, 2014 to September 30, 2015 were available for analysis. Factors related to outcome included hospitalization or release to home, Glasgow coma scale (GCS), temperature, pulse rate, blood pressure, oxygen saturation of the peripheral artery (SpO2), and respiratory rate. A retrospective survey was done that included estimated blood alcohol concentration, osmotic pressure, and serum lactate level. The following formula was used to estimate blood alcohol concentration: (measured osmotic pressure - estimated osmotic pressure × 4.6 mg/dL). Univariate analysis of each variable was done for the two outcome groups, hospital admission or release to home, then statistically significant items were subjected to multivariate analysis. Results: Of the 42 patients (average age 22.8 ± 8.6 years, 33 men, six women), 29 were admitted and 13 were released to home. There was a weak correlation between estimated blood alcohol concentration and GCS. There was no significant difference in alcohol concentration or GCS between the hospitalized and released to home groups. In multivariate analysis using the outcome as the objective variable, a serum lactate level of 26 mg/dL or higher was associated with the need for hospitalization (odds ratio: 6.7). Conclusion: A serum lactate level of 26 mg/dL would be useful for deciding if hospitalization is necessary for patients with acute alcohol intoxication.

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Objective: To evaluate the association of initial blood lactate with mortality and subsequent septic shock in non-shock septic patients. Materials and methods: A retrospective cohort study was conducted at Maharaj Nakorn Chiang Mai Hospital, Chiang Mai University, Muang, Chiang Mai, Thailand. Inclusion criteria included septic patients admitted to a non-critical medical ward and had initial serum lactate at the emergency department (ED). Shock and other causes of hyperlactatemia were excluded. Results: A total of 448 admissions were included with median age [interquartile range (IQR)] of 71 (59, 87) years and 200 males (44.6%). Pneumonia was the most common cause of sepsis (47.5%). The median systemic inflammatory response syndrome (SIRS) and quick sequential organ failure assessment (qSOFA) scores were 3 (2, 3) and 1 (1, 2), respectively. The median initial blood lactate was 2.19 (1.45, 3.23) mmol/L. The high blood lactate (≥2 mmol/L) group; N = 248, had higher qSOFA and other predictive scores and had significantly higher 28 days mortality (31.9% vs 10.0%; p < 0.001) and subsequent 3 days septic shock (18.1% vs 5.0%; p < 0.001) than the normal blood lactate group; N = 200. A combination of blood lactate above or equal to 2 mmol/L plus the national early warning score (NEWS) above or equal to 7 showed the highest prediction of 28 days mortality with the area under receiver-operating characteristic curve (AUROC) of 0.70 [95% confidence interval (CI): 0.65-0.75]. Conclusions: An initial blood lactate level above or equal to 2 mmol/L is associated with high mortality and subsequent septic shock among non-shock septic patients. The composite of blood lactate levels and other predictive scores yields better accuracy to predict mortality. How to cite this article: Noparatkailas N, Inchai J, Deesomchok A. Blood Lactate Level and the Predictor of Death in Non-shock Septic Patients. Indian J Crit Care Med 2023;27(2):93-100.

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PURPOSE: Readmission is one of the measures of quality of care and potential costs. This study aimed to determine whether lactate dehydrogenase (LDH) is associated with an increased risk of 30-day readmission in gastric cancer. METHODS: We performed a retrospective study of patients who underwent radical gastrectomy for gastric cancer at our institution between July 2014 and May 2018. Balanced cohorts were created by propensity score matching (PSM) with a 1:1 ratio to generate the elevated LDH (ELDH) group (n = 151) and the low LDH group (Control) (n = 302). To determine the incidence, causes, and risk factors of 30-day readmission, subgroup analyzes were performed and used to develop an efficient prediction model. RESULTS: A total of 788 patients met the criteria to be included in the study. The cutoff value for serum LDH was 215.5. After PSM, a total of 302 patients were matched in pairs (ELDH group, n = 151, Control group, n = 151). ELDH levels had a higher risk of readmission (p = 0.005, Odds ratio 3.768, 95% confidence interval 1.493-9.510). The pre-match 30-day readmission rate was 7.2 percent, and common causes of post-match readmission included infection-related symptoms, gastrointestinal symptoms, and gastrointestinal bleeding. CONCLUSIONS: Patients with preoperative ELDH levels, postoperative complications, and high preoperative American Society of Anesthesiologists Scores had a higher risk of readmission 30 days after surgery.

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Objective: In the Emergency Department, the physician's purpose is to rapidly and accurately diagnose the severity of a patient's condition so that proper treatment can be administered. Therefore, this study pays close attention to the association and prognostic value of blood lactate on different disease outcomes by systematically reviewing recently published studies. Methods: The search strategy was developed based on searches in the year 2022 for potential publications including original articles, case reports, and reviews using the following web databases google scholar, PubMed, and Science Direct. A total of 25 studies were identified and reviewed extensively to evaluate the link between mortality and serum lactate levels. Results: This literature review presents the strong association of elevated serum lactate levels with the in-hospital mortality rate among emergency department patients. Conclusion: These findings suggest that even a moderately raised lactate level in serum can predict the severe outcome in emergency department patients suffering from different conditions. Therefore, early (at the time of administration of hospital) and periodic serum lactate value determination through different techniques and scores is of need and should become part of routine analyses in emergency department to predict and choose therapies that could benefit critically ill patients.

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BACKGROUND AND PURPOSE: Several pieces of evidence suggest that serum lactate hydrogenase (LDH) level is associated with the pathological process of delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (aSAH). This research aimed to investigate the associations of serum LDH level with the occurrence of DCI in aSAH patients. METHODS: A total of 122 patients diagnosed with aSAH within 72h of onset were retrospectively enrolled. The serum levels of LDH between 7:00-8:00 am on day 1, day 3 and day 7, patients' demographics, and clinical features were collected. Computed tomography perfusion was performed within 7 days after aSAH. The occurrence of DCI was recorded during the hospitalization. RESULTS: Among all the enrolled patients, 43 (35.2%) developed DCI during hospitalization. Patients occurred DCI were always accompanied by more serious clinical features and found with higher serum LDH levels. LDH levels on day 3 and day 7 after onset were independently associated with the occurrence of DCI and showed high predictive value according to the receiver operating characteristic (ROC) curve. Moreover, there was a strong correlation between LDH and mean cerebral blood flow, transit time, and mean time to peak. CONCLUSION: Serum LDH level on day 3 and day 7 may be a valuable, convenient, and rapid predictive indicator for the occurrence of DCI in aSAH patients.

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Despite its limitations, in part due to decreased specificity in advanced disease, serum lactate dehydrogenase (LDH) is one of few serum factors used in cancer staging. This study quantifies the predictive capabilities of LDH in stage IV melanoma of the skin and explores the validity of suggested demographic discrepancies which may exist in its use. The 1975-2017 Surveillance Epidemiology and End Results (SEER) database was queried for stage IV cutaneous melanoma cases. Demographic characteristics were compared between LDH groups using chi-square and t tests. Subsequent Cox multivariable regression was performed to assess survival differences. 334 cases of stage IV cutaneous melanoma (average age: 63.0 years) with measured serum LDH levels were identified. Of these patients, 150 (44.9%) had normal LDH, 112 (33.5%) had LDH < 1.5 × upper limit of normal (ULN), 57 (17.1%) had LDH 1.5-10 × ULN, and 15 (4.5%) had LDH > 10 × ULN. Lower incomes were associated with higher LDH; individuals with incomes < $50,000 had the greatest proportion of LDH 10 × ULN (19.2%; p = 0.0031). LDH > 10 × ULN also had the lowest proportion of White patients (p = 0.04). On Cox multivariable survival analysis, increasing LDH levels showed increased risk of death (LDH < 1.5 × ULN: HR = 2.05, p = 0.01; LDH 1.5-10 × ULN: HR = 1.46, p < 0.001; LDH > 10 × ULN: HR = 5.91, p < 0.001). This study reaffirms the utility of LDH as a significant predictor of mortality with incremental severity, suggesting possible use for mortality projections. We note that Black patients and those with lower incomes may be more likely to have an elevated LDH. Older age groups and presence of ulceration among patients with stage IV melanoma were also associated with a greater risk of mortality.

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BACKGROUND: There is a paucity of information reported regarding the use of milrinone in patients with hypoplastic left heart syndrome prior to the Norwood procedure. At our institution, milrinone is initiated in the pre-operative setting when over-circulation and elevated serum lactate levels develop. We aimed to review the responses associated with the administration of milrinone in the pre-operative hypoplastic left heart syndrome patient. Second, we compared patients who received high- versus low-dose milrinone prior to Norwood procedure. METHODS: Single-centre retrospective study of patients diagnosed with hypoplastic left heart syndrome between January 2000 and December 2019 who underwent Norwood procedure. Patient characteristics and outcomes were compared. RESULTS: During the study period, 375 patients were identified; 79 (21%) received milrinone prior to the Norwood procedure with median lactate 2.55 mmol/l, and SpO2 93%. Patients who received milrinone were older at the time of Norwood procedure (6 vs. 5 days) and were more likely to be intubated and sedated. In a subset analysis stratifying patients to low- versus high-dose milrinone, median lactate decreased from time of initiation (2.39 vs 2.75 to 1.6 vs 1.8 mmol/l) at 12 hours post-initiation, respectively. Repeated measures analysis showed a significant decrease in lactate levels by 4 hours following initiation of milrinone, that persisted over time, with no significant difference in mean arterial pressure. CONCLUSIONS: The use of milrinone in the pre-operative over-circulated hypoplastic left heart syndrome patient is well tolerated, is associated with decreased lactate levels, and was not associated with significant hypotension or worsening of excess pulmonary blood flow.

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