Assessment of serum glucose/potassium ratio as a predictor for delayed neuropsychiatric syndrome of carbon monoxide poisoning

Development of a risk prediction nomogram for delayed neuropsychiatric sequelae in patients with acute carbon monoxide poisoning

OBJECTIVES

Delayed neuropsychiatric sequelae (DNS) are critical complications following acute carbon monoxide (CO) poisoning that can substantially affect the patient's life. Identifying high-risk patients for developing DNS may improve the quality of follow-up care. To date, the predictive DNS determinants are still controversial. Consequently, this study aimed to construct a practical nomogram for predicting DNS in acute CO-poisoned patients.

METHODS

This retrospective study was conducted on patients with acute CO poisoning admitted to the Tanta University Poison Control Center (TUPCC) from December 2018 to December 2022. Demographic, toxicological, and initial clinical characteristics data, as well as laboratory investigation results, were recorded for the included patients. After acute recovery, patients were followed up for six months and categorized into patients with and without DNS.

RESULTS

Out of 174 enrolled patients, 38 (21.8%) developed DNS. The initial Glasgow Coma Scale (GCS), carboxyhemoglobin (COHb) level, CO exposure duration, oxygen saturation, PaCO2, and pulse rate were significantly associated with DNS development by univariate analysis. However, the constructed nomogram based on the multivariable regression analysis included three parameters: duration of CO exposure, COHb level, and GCS with adjusted odd ratios of 1.453 (95% CI: 1.116-1.892), 1.262 (95% CI: 1.126-1.415), and 0.619 (95% CI: 0.486-0.787), respectively. The internal validation of the nomogram exhibited excellent discrimination (area under the curve [AUC] = 0.962), good calibration, and satisfactory decision curve analysis for predicting the DNS probability.

CONCLUSIONS

The proposed nomogram could be considered a simple, precise, and applicable tool to predict DNS development in acute CO-poisoned patients.

The utility of serum glucose potassium ratio as a predictive factor for haemorrhagic transformation, stroke recurrence, and mortality among ischemic stroke patients

Background and Objective

Glucose-Potassium Ratio (GPR) has emerged as a biomarker in several pathophysiological conditions. However, the association between GPR and long-term outcomes in stroke patients has not been investigated. Our study evaluated the applicability of baseline GPR as a predictive prognostic tool for clinical outcomes in ischemic stroke patients.

Methods

The multicenter retrospective cohort study included acute-subacute adult ischemic stroke patients who had their baseline serum GPR levels measured. Eligible patients were categorized into two sub-cohorts based on the baseline GPR levels (<1.67 vs. ≥ 1.67). The primary outcome was the incidence of 30-day hemorrhagic transformation, while stroke recurrence, and all-cause mortality within twelve months, were considered secondary.

Results

Among 4083 patients screened, 1047 were included in the current study. In comparison with GPR < 1.67 group, patients with ≥ 1.67 GPR had a significantly higher ratio of all-cause mortality within twelve months (aHR 2.07 [95 % CI 1.21-3.75] p = 0.01), and higher ratio of 30-day hemorrhagic transformation but failed to reach the statistical significance (aHR 1.60 [95 % CI 0.95-2.79], p = 0.08).

Conclusion

Overall, baseline GPR serum is an independent predictor of all-cause mortality within twelve months in patients with acute and subacute ischemic stroke. Further clinical studies are necessary to validate these findings.

Development and validation of a nomogram for predicting mechanical ventilation need among acutely intoxicated patients with impaired consciousness

BACKGROUND

A considerable portion of acutely intoxicated patients is presented with impaired consciousness. Early identification of those patients who require advanced medical care, such as mechanical ventilation (MV), can improve their prognosis.

METHODS

This study included 330 acutely intoxicated patients who were presented with impaired consciousness and admitted to Tanta University Poison Control Center, Egypt, in the period from January 2021 to December 2023. Patients were enrolled in derivation (257 patients) and validation (73 patients) cohorts. Patients' data were analyzed to develop and validate a predictive nomogram to determine the probability of MV need in acutely intoxicated patients.

RESULTS

Significant predictors for MV need were mean arterial blood pressure (OR = 0.96, p = .014), PaO2 (OR = 0.96, p = .001), pH (OR = 0.00, p < . 001), and glucose/potassium ratio (OR = 1.59, p = .030). These four parameters were used to formulate a bedside nomogram. Receiver-operating characteristic (ROC) analysis for the proposed nomogram shows that area under the curve (AUC) = 95.7%, accuracy = 93.4%, sensitivity = 88.9%, and specificity = 95.1%. The internal validation for the developed nomogram was assessed using a bootstrapping method and calibration curve. Regarding external validation, AUCs for the developed nomogram probability was 96.5%, and for predicted probability using the developed nomogram was 97.8%.

CONCLUSION

The current study provides a validated nomogram that could be used as a reliable tool for the accurate prediction of MV need among acutely intoxicated patients with impaired consciousness. It could assist in the early identification of patients who will require MV, especially in low-income countries with limited resources.

Serum glucose/potassium ratio as a clinical risk factor for predicting the severity and prognosis of acute traumatic spinal cord injury

OBJECTIVE

Acute traumatic Spinal cord injury (TSCI) is a devastating event that causes severe sensory and motor impairments as well as autonomic dysfunction in patients, yet relevant clinical biomarkers have not been established. This study aimed to determine the significance of the serum glucose/potassium ratio (GPR) in evaluating TSCI severity and predicting prognosis.

METHODS

An analysis of 520 clinical records of acute TSCI patients from January 2012 to June 2022 was conducted. The relationships between serum GPR and The American Spinal Injury Association Impairment Scale (AIS) grade 6-month post-trauma prognosis and the admission AIS grade were analyzed. To evaluate the discriminatory ability, a receiver operating characteristic curve (ROC) analysis was used. All methods were performed in accordance with the relevant guidelines and regulations.

RESULTS

Based on the initial assessment of AIS grade, 256 (49.2%) patients were categorized into the severe TSCI group (AIS A-B), and there was a significant correlation between the severe TSCI group and serum GPR (p < 0.001). Serum GPR was reduced in an AIS grade-dependent manner (R = - 0.540, p < 0.001). Of the 520 patients, 262 (50.4%) patients were classified as having a poor prognosis according to the AIS grade at discharge. Serum GPR was also reduced in an AIS grade at discharge-dependent manner (R = - 0.599, p < 0.001), and was significantly higher in the poor prognosis group compared to the good prognosis group (p < 0.001). Poor prognosis was significantly associated with sex (p = 0.009), severity of TSCI (p < 0.001), location of TSCI (p < 0.001), surgical decompression (p < 0.018), body temperature (p < 0.001), heart rate (p < 0.001), systolic arterial pressure (SAP) (p < 0.001), diastolic arterial pressure (DAP) (p < 0.001), serum GPR (p < 0.001), serum glucose (p < 0.001), serum potassium (p < 0.001), and white blood cell count (p = 0.003). Multivariate logistic regression analysis showed a significant correlation between poor prognosis and serum GPR (p = 0.023). The ROC analysis showed the area under the curve of serum GPR to be a poor predictor of prognosis in TSCI patients at 0.842 (95% confidence interval, 0.808-0.875).

CONCLUSION

There was a significant relationship between serum GPR and admission injury severity and the 6-month prognosis of acute TSCI patients. Serum GPR serves as a readily available clinical risk factor for predicting the severity and 6-month prognosis of acute traumatic spinal cord injury, which holds potential clinical significance for patients with TSCI.

Could the serum glucose/potassium ratio offer an early reliable predictor of life-threatening events in acute methylxanthine intoxication?

Methylxanthines are widely used to manage pulmonary disorders, particularly in developing countries. Methylxanthines are unsafe due to their narrow therapeutic index and associated morbidity and mortality. The current study aimed to investigate the role of glucose/potassium ratio as a substantially useful early predictor of life-threatening events (LTEs) in the form of cardiovascular and neurological complications among methylxanthine users. A retrospective cohort study was conducted using medical records of patients diagnosed with acute methylxanthine intoxications and presented to an Egyptian Poison Control Center for 2 years. A total of 366 patients were enrolled. Of them, 59 patients (16.1%) were complicated with LTEs. The most frequent serious arrhythmia was T wave inversion (45.6% of patients with LTEs). Laboratory investigations that could significantly predict LTEs were the random blood glucose and potassium levels, glucose/potassium ratio, pH, liver transaminases, HCO3 level, hemoglobin, and platelet count (P < 0.05). The glucose/potassium ratio was the best predictor of LTEs (odds ratio = 2.92, and 95% confidence interval = 2.02-4.23). With an excellent area under the curve (0.906) and at a cutoff of 2.44, that ratio could correctly classify the patients based on their risk of LTEs with an overall accuracy of 73% (sensitivity of 88% and specificity of 70%). The current study endorsed an important, feasible, and easily obtainable ratio that could predictor stratify the patients according to severity and risk of LTEs, which guides the decision-making and prioritizes the treatment lines in methylxanthine intoxicated patients.

The Role of the Glucose Potassium Ratio in the Management of Traumatic Brain Injury

Objective

Traumatic brain injury (TBI) has become a worldwide public health issue, raising concerns about which tool might be useful to guide initial management at hospital admission, especially to decide whether the patient would benefit from an opportune surgical intervention. Recently, the glucose-to-potassium ratio has more accurate predictive values than other biomarkers and is useful for its simplicity to obtain. To correlate each biomarker with the outcome for every patient with TBI.

Methods

The analysis included patients treated in a single institution between 2020 and 2021, diagnosed with mild TBI that required neurosurgery, moderate or severe TBI. Blood samples were obtained at admission, and the glucose-to-potassium ratio was calculated retrospectively. Then, these values and other variables were compared with the outcome at 6 and 12 months. Extracranial lesions that directly contributed to the outcome, a Glasgow Coma Scale of 3 and below, hemodynamic instability, and cardiac arrest were exclusion criteria.

Results

Forty-seven patients who reached the criteria were examined, 35 (74%) had a favorable outcome and 12 (26%) a poor one. The only biomarker significantly related to the outcome was the glucose-to-potassium ratio in both the bivariate and multivariate analysis (p=0.04; odds ratio, 8.61; 95% confidence interval, 1.07-69.6).

Conclusion

An increase in the glucose-to-potassium ratio was the only biomarker associated with poor outcomes and increased mortality.

The association between serum glucose to potassium ratio on admission and short-term mortality in ischemic stroke patients

High serum glucose to potassium ratio (GPR) at admission is implicated for a poor outcome in acute brain injury, acute intracranial hemorrhage, and aneurysmal subarachnoid hemorrhage. However, the relationship between GPR and the outcome of ischemic stroke (IS) remains unknown. In all, 784 IS patients from a large emergency Norwegian cohort were included for secondary analysis. The exposure and outcome were GPR at baseline and all-cause mortality within 30 days after the first admission. Multivariable logistic regression analysis was performed to estimate the risk of 30-day mortality based on GPR levels. In addition, we examined whether there was a nonlinear relationship between admission GPR and 30-day mortality using two-piecewise linear regression with a smoothing function and threshold level analysis. The results of multivariable regression analysis showed that GPR at baseline was positively associated with the 30-day mortality (OR 2.01, 95% CI 1.12, 3.61) after adjusting for potential confounders (age, gender, department, serum sodium, serum albumin, serum-magnesium, hypertension, heart failure, chronic renal failure, and pneumonia). When GPR was translated to a categorical variable, the ORs and 95% CIs in the tertiles 2 to 3 versus the tertile 1 were 1.24 (0.60, 2.56) and 2.15 (1.09, 4.24), respectively (P for trend = 0.0188). Moreover, the results of the two-piecewise linear regression and curve fitting revealed a linear relationship between GPR and 30-day mortality. In IS patients, GPR is positively correlated with 30-day mortality, and the relationship between them is linear. The GPR at admission may be a promising predictor for the short-term outcome in IS patients.

Assessment of the Serum Glucose/Potassium GLU/K Ratio as a Predictor of Intermediate Syndrome Following Acute Anticholinesterase Exposure

BACKGROUND

The widespread use of anticholinesterase-containing pesticides accounts for the considerable morbidity and mortality in Egypt and worldwide.

AIM

Few studies have investigated the predictors of intermediate syndrome (IMS). Therefore, in this study, we assessed the adequacy of the serum glucose/potassium (GLU/K) ratio as an early reliable tool to predict IMS incidence following intoxication with acute anticholinesterase compounds.

METHODS

A prospective cross-sectional study was conducted among patients who presented to Tanta University Poison Control Center, Egypt, and were diagnosed with acute anticholinesterase intoxication between January and August, 2021. Patients were categorized based on the primary outcome into IMS (+) and IMS (-) groups.

RESULTS

Overall, 243 patients were included, among whom 44 (18.1%) had IMS as the complication. Younger individuals with age ranging between 18 and <25 years constituted the main exposed age category in both groups. Vomiting and abdominal colic were the most commonly noted complaints in the included patients (94.2% and 63.8% of patients, respectively). The delay, length of hospital stay, mean blood pressure, O₂ saturation, Glasgow Coma Scale score, random blood glucose level, K concentration, GLU/K ratio, and dose of atropine administered were significant IMS predictors on an individual basis, and the GLU/K ratio was the most significant IMS predictor. At a cutoff value of >41.07%, the GLU/K ratio could significantly predict IMS (areas under the curves = 0.971, p < 0.001) with 93% accuracy, 93.2% sensitivity, and 93% specificity.

CONCLUSION

Although the clear pathophysiology of IMS remains to be elucidated, our results provide insight into the significant contribution of neurological affection, apart from the well-known direct toxic effect on muscles. Moreover, we demonstrated a significant association between the development of IMS and severity of organophosphorus compounds' exposure. Physicians should be vigilant to detect IMS early upon admission using the GLU/K ratio, which is a useful early IMS predictor.

Usefulness of a modified poisoning severity score for predicting prognosis in acute carbon monoxide poisoning

INTRODUCTION

The poisoning severity score (PSS) was developed to grade the severity of various types of poisoning. However, in its current form, it requires investigating many variables, some of which have been found not to be associated with carbon monoxide (CO) poisoning severity. Therefore, in this study, we modified the PSS for CO poisoning and compared its usefulness to that of the original PSS, as an early prognostic factor of short-term outcome in CO poisoning patients.

METHODS

This was a retrospective observational study conducted in patients with CO poisoning who visited the emergency department between January 2014 and December 2020. Patients' primary outcome was their Cerebral Performance Category (CPC) scale score at discharge, which classified those with CPC 1-2 as having a favorable outcome and those with CPC 3-5 as having a poor outcome. We calculated the patients' PSS and their CO-modified PSS by replacing blood and metabolic balance category in the original PSS with carboxyhemoglobin (COHb) and lactate levels, respectively.

RESULTS

This study included 891 patients, of which 852 (95.6%) and 39 (4.4%) were classified into the favorable and poor outcome groups, respectively. Using multivariate analysis, the PSS (odds ratio [OR], 22.961; 95% confidence interval [CI], 10.641-49.546; p < 0.001) and CO-modified PSS (OR, 28.856; 95% CI, 12.874-64.679; p < 0.001) were both found to be associated with poor outcomes at hospital discharge. The areas under the receiver operating characteristic curves for the PSS and CO-modified PSS were 0.874 (95% CI, 0.850-0.895) and 0.881 (95% CI, 0.858-0.901), respectively.

CONCLUSION

The CO-modified PSS, with fewer variables than the original PSS, was not inferior to predict poor outcomes, and if COHb level is considered together with other parameters, then it can be used both for predicting prognosis and in diagnosis.

Predictive Value of Gray-Matter-White-Matter Ratio on Brain Computed Tomography for Delayed Encephalopathy after Acute Carbon Monoxide Poisoning: A Retrospective Cohort Study

Background

This study is aimed at determining the predictive value of the gray-matter–white-matter ratio (GWR) on brain computed tomography for delayed encephalopathy after acute carbon monoxide (CO) poisoning (DEACMP).

Methods

This retrospective cohort study reviewed 352 patients with acute CO poisoning and who underwent the brain computed tomography test. These patients were admitted to Cangzhou Central Hospital from May 2010 to May 2020. The patients were divided into the DEACMP (n = 16) and non-DEACMP (n = 336) groups. Pearson's correlation coefficients were computed for correlation analysis. The predictive value of GWR for DEACMP was evaluated by using logistic regression analysis and receiver operator characteristic curves.

Results

The morbidity of DEACMP was 4.5% (16/352). The GWR-basal ganglia, GWR-cerebrum, and GWR-average in the DEACMP group were lower than those in the non-DEACMP group. Correlation analysis indicated that GWR-basal ganglia (r = 0.276; P < 0.001), GWR-cerebrum (r = 0.163; P = 0.002), and GWR-average (r = 0.200; P < 0.001) were correlated with DEACMP. Multivariate logistic regression analysis revealed that reduced GWR-basal ganglia, GWR-cerebrum, and GWR-average were independent risk factors (P < 0.001; P = 0.008; P = 0.001; respectively). Compared with GWR-cerebrum and GWR-average, GWR-basal ganglia had a higher area under the curve of 0.881 (95% confidence interval: 0.783–0.983) with sensitivity and specificity of 93.8% and 68.7%, respectively. The cut-off value of GWR-basal ganglia was 1.055.

Conclusion

GWR, especially GWR-basal ganglia, is an early useful predictor for DEACMP.

Serum glucose and potassium ratio as a predictive factor for prognosis of acute intracerebral hemorrhage

Objective

The serum glucose/potassium ratio (GPR) is a potential prognostic predictor for acute brain injury-related diseases. We calculated the serum GPR in patients with acute intracerebral hemorrhage (ICH) and explored its prognostic value for long-term prognoses and ICH severity.

Methods

This retrospective cohort study consecutively included 92 patients with ICH and 92 healthy controls. The National Institutes of Health Stroke Scale (NIHSS) score, Glasgow coma scale (GCS) score, and hematoma volume were used to assess severity. A modified Rankin Scale score > 2 at 90 days post-stroke was defined as a poor outcome.

Results

The serum GPR was significantly higher in patients than controls. The serum GPR was weakly correlated with the NIHSS score, GCS score, and hematoma volume. The serum GPR, GCS score, and hematoma volume were independently associated with poor outcomes. In the receiver operating characteristic curve analysis, the serum GPR remarkably discriminated patients at risk of poor outcomes at 90 days. The serum GPR significantly improved the prognostic predictive capability of hematoma volume and tended to increase that of the GCS score.

Conclusion

Serum GPR is an easily obtained clinical variable for predicting clinical outcomes after ICH.

Analysis of risk factors of delayed encephalopathy after acute carbon monoxide poisoning

Objective:

To analyze the risk factors of delayed encephalopathy in patients with acute carbon monoxide poisoning (DEACMP) and to investigate the clinical significance and clinical value.

Methods:

The baseline data from 68 patients admitted in the 981st Hospital of Chinese People’s Liberation Army Joint Logistics Support Force were collected, including sex, age, Glasgow Coma Scale (GCS), history of smoking/drinking, history of DEACMP. Laboratory examination records including cranial CT/MRI, cervical vascular color ultrasonography, cardiac color ultrasonography, blood biochemical markers, blood routine, and blood coagulation function were also collected. Additionally, patients were followed-up visited at 1 month and 6 months. Patients were divided into either the DEACMP group or the NDEACMP group according to the occurrence of DEACMP. The risk factors of DEACMP were identified by univariate and logistic regression analyses. The area under the curve (AUC), sensitivity, and specificity of each index were compared by the receiver operating characteristic (ROC) curve.

Results:

Among the 68 patients, 13 patients suffered from DEACMP with an incidence of 19.1%. Univariate analysis indicated that there were statistically significant differences in patients’ age, blood glucose, blood glucose/potassium, GCS scores, abnormal cranial CT/MRI, and coma time more than 4 h (P < 0.05). Logistic regression analysis showed that B, SE, Wald, df, P, Exp (B) of GCS score were -0.489, 0.208, 5.55, 1, 0.018 and 0.634, respectively. Overall, GCS score is correlated with DEACMP’s occurrence. ROC curve analysis showed that the sensitivity, specificity, and the AUC of GCS scores were 0.769, 0.873 and 0.843, respectively. The AUC of the indices in descending order are: GCS score, blood glucose, blood glucose/potassium and age.

Conclusion:

GCS score, blood glucose, blood glucose/potassium, and age are useful predictive factors for the occurrence of DEACMP. Among these, GCS score is the most significant predictive factor.