Performance of clinical scoring systems in acute organophosphate poisoning

Organophosphate Poisoning: Review of Prognosis and Management

The high annual mortality rate of organophosphorus (OP) poisoning indicates that the treatment is mostly ineffective in this regard. It has been suggested to add calcium channel blocking (CCB) drugs or magnesium sulfate (MgSO4) to normal care to decrease the release of acetylcholine (ACh) at the cholinergic synapse. Moreover, the diagnosis of OP poisoning is chiefly based on clinical evidence. Oximes and atropine are the recognized antidotes of OP. However, low-priced medications such as MgSO4 and sodium bicarbonate (NaHCO3), as well as novel adjunct therapies, have been introduced recently. Furthermore, antioxidants are recommended for managing OP poisoning. In addition, hemoperfusion, fresh frozen plasma (FFP), and K-oximes are a number of innovative management modalities that deserve further evaluation. However, prevention seems to be the most effective management modality in this respect. Therefore, this study aimed to briefly discuss the controversies in OP poisoning management and present recent advances in its management and prognosis. The results of this study revealed that multiple factors including type of exposure, acetylcholinesterase (AChE) plasma level, time of hospitalization, and severity confirming OP poisoning should be considered to provide the best treatment strategy.

Validity of different scoring systems in prediction of intensive care unit admission and mortality in acute organophosphate poisoning

Background

Organophosphate compounds (OPCs) pose significant health risks, especially in developing countries with limited resources. Predicting outcomes in OPCs poisoning is crucial for guiding clinical management and reducing mortality rates. The aim of this study to evaluate the validity of different scoring systems Rapid Emergency Medicine Score, Multiple Organ Dysfunction Score, Acute Physiology and Chronic Health Evaluation Score, and Poison Severity Score in prediction of intensive care unit (ICU) admission and mortality of acute OPCs poisoning patients.

Methods

A cross-sectional study was conducted on 103 patients admitted to Xx Poison Control Center between May 2022 and June 2023. Scoring systems were applied at admission, and their performance in predicting the need for ICU admission and mortality was evaluated using receiver operating characteristic (ROC) curve analysis.

Results

Most patients survived (92.2%). Only 13.6% of the patients required ICU admission. Significant differences in median scores were observed between survivors and non-survivors and between patients requiring ICU admission and those who did not. Multiple Organ Dysfunction Score exhibited the highest discriminatory power for predicting both ICU admission (AUC = 0.983) and mortality (AUC = 0.999).

Conclusion

The findings highlight the importance of utilizing scoring systems, particularly Multiple organ dysfunction score, for prediction of poor outcomes of acute OPCs poisoning.

Comparison of the new-Poisoning Mortality Score and the Modified Early Warning Score for predicting in-hospital mortality in patients with acute poisoning

INTRODUCTION

The evaluation of acute poisoning is challenging due to varied toxic substances and clinical presentations. The new-Poisoning Mortality Score was recently developed to assess patients with acute poisoning and showed good performance in predicting in-hospital mortality. The objective of this study is to externally validate the performance of the new-Poisoning Mortality Score and to compare it with the Modified Early Warning Score.

METHODS

This retrospective analysis used data from the 2019-2020 Injury Surveillance Cohort, established by the Korea Center for Disease Control and Prevention, to perform external validation of the new-Poisoning Mortality Score. The statistical performances of the new-Poisoning Mortality and Modified Early Warning Scores were assessed and compared in terms of discrimination and calibration. Discrimination analysis involved metrics such as sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve. For calibration analysis, the Hosmer-Lemeshow goodness-of-fit test was utilized and calibration curves for each score were generated to elucidate the relationship between observed and predicted mortalities.

RESULTS

This study analysed 16,570 patients with acute poisoning. Significant differences were observed between survivors and those who died in-hospital, including age, sex, and vital signs. The new-Poisoning Mortality Score showed better performance over the Modified Early Warning Score in predicting in-hospital mortality, in terms of the area under the receiver operating characteristic curve (0.947 versus 0.800), sensitivity (0.863 versus 0.667), specificity (0.912 versus 0.817), and accuracy (0.911 versus 0.814). When evaluated through calibration curves, the new-Poisoning Mortality Score showed better concordance between predicted and observed mortalities. In subgroup analyses, the score system consistently showed strong performance, excelling particularly in substances with high mortality indices and remaining superior in all substances as a group.

CONCLUSIONS

Our study has helped to validate the new-Poisoning Mortality Score as an effective tool for predicting in-hospital mortality in patients with acute poisoning in the emergency department. The score system demonstrated superior performance over the Modified Early Warning Score in various metrics. Our findings suggest that the new-Poisoning Mortality Score can contribute to the enhancement of clinical decision-making and patient management.

Intermediate Syndrome Due to Organophosphate Poisoning: A Case Report

Organophosphates, also known as phosphate esters, are a category of pesticide compounds that function by indirectly inhibiting the activity of an enzyme called acetylcholinesterase (AChE). AChE is responsible for breaking down acetylcholine (ACh) at the neuromuscular junction into acetic acid and choline. These compounds cause various clinical presentations upon acute toxicity, among which intermediate syndrome (IMS) exhibits an unpredictable course. This report describes the case of a farmer who ingested monocrotophos and ethanol in a suicide attempt, leading to a prolonged stay in the hospital and invasive ventilation, along with complications including ventilator-associated pneumonia. The patient received a total of 9000 mg of atropine over his 14-day hospitalization period.

Comparing Sequential Organ Failure Assessment Score, Acute Physiology and Chronic Health Evaluation II, Modified Acute Physiology and Chronic Health Evaluation II, Simplified Acute Physiology Score II and Poisoning Severity Score for Outcome Prediction of Pesticide Poisoned Patients Admitted to the Intensive Care Unit

Objective

This study aimed to assess the severity of poisoning, various scoring systems, including Sequential Organ Failure Assessment (SOFA) score, acute physiology and chronic health evaluation II (APACHE II), Simplified Acute Physiology Score (SAPS II), Modified APACHE II, and poisoning severity score (PSS) were used. In this study, we compared the predictive value of these scoring systems on the outcome of pesticide-poisoned patients.

Methods

This is a cross-sectional study of pesticide-poisoned patients (140 patients) who were admitted to the intensive care unit (ICU) of Khorshid Hospital, Isfahan, Iran, between January 2015 and 2019. The area under the receiver operating characteristic (AUC) curve and the predictive value of scoring systems were compared.

Findings

Poisoning was higher in the male population (72.8%). The causes of poisoning were paraquat, (38.6%), aluminum phosphide, (32.1%), and organophosphate, (29.3%). The mean age of the patients was 33.9 years. Most patients (79.3%) attempted suicide. The mortality rate was 46.43%. The mean of "SOFA score," "APACHE II," "SAPS II," "Modified APACHE II," and "PSS" was 5.9; 15.7; 30.02; 15.8; and 1.9, respectively. There was a significant difference in the mean of all scoring systems for outcome prediction. Among all scoring systems, the SAPS II score with the cutoff point (16.5) had the best criteria for outcome prediction (AUC (0.831 ± 0.037), sensitivity (83.1%, 95% confidence interval [CI]: [71.7-91.2]), specificity (75.7%, 95% CI: [64.3-84.9]), positive predictive values (75.0%, 95% CI: [66.4-82.0]), negative predictive values (83.6%, 95% CI: [74.5-89.9]).

Conclusion

The SAPS II scoring system may be a suitable indicator for outcome predictions in pesticide-poisoned patients in the ICU.

Prediction of acute organophosphate poisoning severity using machine learning techniques

Poisoning with organophosphate compounds is a significant public health risk, especially in developing countries. Considering the importance of early and accurate prediction of organophosphate poisoning prognosis, the aim of this study was to develop a machine learning-based prediction model to predict the severity of organophosphate poisoning. The data of patients with organophosphate poisoning were retrospectively extracted and split into training and test sets in a ratio of 70:30. The feature selection was done by least absolute shrinkage and selection operator method. Selected features were fed into five machine learning techniques, including Histogram Boosting Gradient, eXtreme Gradient Boosting, K-Nearest Neighborhood, Support Vector Machine (SVM) (kernel = linear), and Random Forest. The Scikit-learn library in Python programming language was used to implement the models. Finally, the performance of developed models was measured using ten-fold cross-validation methods and some evaluation criteria with 95 % confidence intervals. A total of 1237 patients were used to train and test the machine learning models. According to the criteria determining severe organophosphate poisoning, 732 patients were assigned to group 1 (patients with mild to moderate poisoning) and 505 patients were assigned to group 2 (patients with severe poisoning). With an AUC value of 0.907 (95 % CI 0.89-0.92), the model developed using XGBoost outperformed other models. Feature importance evaluation found that venous blood gas-pH, white blood cells, and plasma cholinesterase activity were the top three variables that contribute the most to the prediction performance of the prognosis in patients with organophosphate poisoning. XGBoost model yield an accuracy of 90.1 % (95 % CI 0.891-0.918), specificity of 91.4 % (95 % CI 0.90-0.92), a sensitivity of 89.5 % (95 % CI 0.87-0.91), F-measure of 91.2 % (95 % CI 0.90-0.921), and Kappa statistic of 91.2 % (95 % CI 0.90-0.92). The machine learning-based prediction models can accurately predict the severity of organophosphate poisoning. Based on feature selection techniques, the most important predictors of organophosphate poisoning were VBG-pH, white blood cell count, plasma cholinesterase activity, VBG-BE, and age. The best algorithm with the highest predictive performance was the XGBoost classifier.

Comparison between various scoring systems in predicting the need for intensive care unit admission of acute pesticide-poisoned patients

The decision of intensive care unit (ICU) admission in acute pesticide poisoning is often challenging, especially in developing countries with limited resources. This study was conducted to compare the efficacy of the Acute Physiology and Chronic Health Evaluation II (APACHE II), Modified Early Warning Score (MEWS), and Poisoning Severity Score (PSS) in predicting ICU admission and mortality of acute pesticide-poisoned patients. This prospective cohort study included all patients admitted to Tanta University Poison Control Center with acute pesticide poisoning from the start of March 2018 to the end of March 2019. Patient data, including demographic and toxicological data, clinical examination, laboratory investigation, and score values, were collected on admission. Out of 337 acute pesticide-poisoned patients, 30.5% were admitted to the ICU, including those poisoned with aluminum phosphide (ALP) (81.5%) and organophosphates (OP) (18.5%). Most non-survivors (86.6%) were ALP poisoning. The PSS had the best discriminatory power in predicting ICU admission and mortality, followed by APACHE II and MEWS. However, no significant difference in predicting ICU admission of OP-poisoned patients was detected between the scores. Additionally, no significant difference in mortality prediction of ALP-poisoned patients was found between the PSS and APACHE II. The PSS, APACHE II, and MEWS are good discriminators for outcome prediction of acute pesticide poisoning on admission. Although the PSS showed the best performance, MEWS was simpler, more feasible, and practicable in predicting ICU admission of OP-poisoned patients. Moreover, the APACHE II has better sensitivity for mortality prediction of ALP-poisoned patients.

Case Fatality as an Indicator for the Human Toxicity of Pesticides-A Systematic Scoping Review on the Availability and Variability of Severity Indicators of Pesticide Poisoning

Objective: To investigate if case fatality and other indicators of the severity of human pesticide poisonings can be used to prioritize pesticides of public health concern. To study the heterogeneity of data across countries, cause of poisonings, and treatment facilities. Methods: We searched literature databases as well as the internet for studies on case-fatality and severity scores of pesticide poisoning. Studies published between 1990 and 2014 providing information on active ingredients in pesticides or chemical groups of active ingredients were included. The variability of case-fatality-ratios was analyzed by computing the coefficient of variation as the ratio of the standard deviation to the mean. Findings: A total of 149 papers were identified of which 67 could be included after assessment. Case-fatality-ratio (CFR) on 66 active ingredients and additionally on 13 groups of active ingredients were reported from 20 countries. The overall median CFR for group of pesticides was 9%, for single pesticides 8%. Of those 12 active ingredients with a CFR above 20% more than half are WHO-classified as “moderately hazardous” or “unlikely to present acute hazard”. Two of seven pesticides considered “unlikely to present hazard in normal use” showed a CFR above 20%. The cross-study variability of reported case fatality was rather low. Studies most often utilized the Glasgow Coma Score for grading the severity of poisoning. Conclusion: Although human pesticide poisoning is a serious public health problem, an unexpectedly small number of publications report on the clinical outcomes within our study period. However, CFRs of acute human pesticide poisoning are available for several groups of pesticides as well as for active ingredients showing moderate cross-study variability. Our results underline that CFR is an indicator of the human toxicity of pesticides and can be utilized to prioritize highly hazardous pesticides especially since there is limited correspondence between the animal-test-based hazard classification and the human CFR of the respective pesticide. The reporting of available poisoning data should be improved, human case-fatality data are a reasonable tool to be included systematically in the periodic statutory review of pesticides and their regulation.

Development and validation of new poisoning mortality score system for patients with acute poisoning at the emergency department

Background

A prediction model of mortality for patients with acute poisoning has to consider both poisoning-related characteristics and patients’ physiological conditions; moreover, it must be applicable to patients of all ages. This study aimed to develop a scoring system for predicting in-hospital mortality of patients with acute poisoning at the emergency department (ED).

Methods

This was a retrospective analysis of the Injury Surveillance Cohort generated by the Korea Center for Disease Control and Prevention (KCDC) during 2011–2018. We developed the new-Poisoning Mortality Scoring system (new-PMS) to generate a prediction model using the derivation group (2011–2017 KCDC cohort). Points were computed for categories of each variable. The sum of these points was the new-PMS. The validation group (2018 KCDC cohort) was subjected to external temporal validation. The performance of new-PMS in predicting mortality was evaluated using area under the receiver operating characteristic curve (AUROC) for both the groups.

Results

Of 57,326 poisoning cases, 42,568 were selected. Of these, 34,352 (80.7%) and 8216 (19.3%) were enrolled in the derivation and validation groups, respectively. The new-PMS was the sum of the points for each category of 10 predictors. The possible range of the new-PMS was 0–137 points. Hosmer–Lemeshow goodness-of-fit test showed adequate calibration for the new-PMS with p values of 0.093 and 0.768 in the derivation and validation groups, respectively. AUROCs of the new-PMS were 0.941 (95% CI 0.934–0.949, p < 0.001) and 0.946 (95% CI 0.929–0.964, p < 0.001) in the derivation and validation groups, respectively. The sensitivity, specificity, and accuracy of the new-PMS (cutoff value: 49 points) were 86.4%, 87.2%, and 87.2% and 85.9%, 89.5%, and 89.4% in the derivation and validation groups, respectively.

Conclusions

We developed a new-PMS system based on demographic, poisoning-related variables, and vital signs observed among patients at the ED. The new-PMS showed good performance for predicting in-hospital mortality in both the derivation and validation groups. The probability of death increased according to the increase in the new-PMS. The new-PMS accurately predicted the probability of death for patients with acute poisoning. This could contribute to clinical decision making for patients with acute poisoning at the ED.

Prognostic indicators in critically ill poisoned patients: development of a risk-prediction nomogram

OBJECTIVES

The prognosis of acutely poisoned patients is a significant concern for clinical toxicologists. In this study, we sought to determine the clinical and laboratory findings that can contribute to predicting the medical outcomes of poisoned patients admitted to intensive care units (ICUs).

METHODS

This retrospective study was performed from January 2009 to January 2016 in the ICU of Vali-e-Asr Hospital in Birjand, Iran. We included all patients with the diagnosis of acute poisoning admitted to the ICU. Demographic data, laboratory results, the Sequential Organ Failure Assessment (SOFA), and acute physiology score + age points + chronic health points (APACHE) II, and the Simplified Acute Physiology Score (SAPS) II, and outcome were collected. Univariate analysis (Mann-Whitney or t-test), multiple logistic regression, receiver operating characteristics (ROC) curve analysis, and Pearson's correlation test were performed using SPSS, STATA/SE 13.0, and Nomolog software programs.

RESULTS

The multiple logistic regression analysis revealed that five factors were significant for predicting mortality including age (OR 95% CI: 1.1[1.05-1.12], p<0.001), Glasgow Coma Score (GCS) (OR 95% CI: 0.71[0.6-0.84], p<0.001), white blood cell (WBC) count (OR 95% CI: 1.1[1.01-1.12], p=0.04), serum sodium (Na) (OR 95% CI: 1.08[1.01-1.15], p=0.02), and creatinine levels (Cr) (OR 95% CI: 1.86 [1.23-2.81], p=0.003). We generated a five-variable risk-prediction nomogram which could both predict mortality risk and identify high-risk patients.

CONCLUSIONS

Age, GCS, WBC, serum creatinine, and sodium levels are the best prognostic factors for mortality in poisoned patients admitted to the ICU. The APACHE II score can discriminate between non-survivors and survivors. The nomogram developed in the current study can provide a more precise, quick, and simple analysis of risks, thereby enabling the users to predict mortality and identify high-risk patients.

Prognostic indicators in critically ill poisoned patients: development of a risk-prediction nomogram

Objectives The prognosis of acutely poisoned patients is a significant concern for clinical toxicologists. In this study, we sought to determine the clinical and laboratory findings that can contribute to predicting the medical outcomes of poisoned patients admitted to intensive care units (ICUs). Methods This retrospective study was performed from January 2009 to January 2016 in the ICU of Vali-e-Asr Hospital in Birjand, Iran. We included all patients with the diagnosis of acute poisoning admitted to the ICU. Demographic data, laboratory results, the Sequential Organ Failure Assessment (SOFA), and acute physiology score + age points + chronic health points (APACHE) II, and the Simplified Acute Physiology Score (SAPS) II, and outcome were collected. Univariate analysis (Mann-Whitney or t-test), multiple logistic regression, receiver operating characteristics (ROC) curve analysis, and Pearson's correlation test were performed using SPSS, STATA/SE 13.0, and Nomolog software programs. Results The multiple logistic regression analysis revealed that five factors were significant for predicting mortality including age (OR 95% CI: 1.1[1.05-1.12], p<0.001), Glasgow Coma Score (GCS) (OR 95% CI: 0.71[0.6-0.84], p<0.001), white blood cell (WBC) count (OR 95% CI: 1.1[1.01-1.12], p=0.04), serum sodium (Na) (OR 95% CI: 1.08[1.01-1.15], p=0.02), and creatinine levels (Cr) (OR 95% CI: 1.86 [1.23-2.81], p=0.003). We generated a five-variable risk-prediction nomogram which could both predict mortality risk and identify high-risk patients. Conclusions Age, GCS, WBC, serum creatinine, and sodium levels are the best prognostic factors for mortality in poisoned patients admitted to the ICU. The APACHE II score can discriminate between non-survivors and survivors. The nomogram developed in the current study can provide a more precise, quick, and simple analysis of risks, thereby enabling the users to predict mortality and identify high-risk patients.

A Simple Tool Predicts Mortality in Aluminum Phosphide Self-poisoning

Incorporating the toxidrome-specific prognostic systems into the daily emergency department practice might become a standard of care in low- and middle-income countries. The PGI score is appealing because it is quick and easy, it accurately identifies high-risk patients at in-hospital mortality, and it shows promise in predicting those at low risk. Although further validation of the PGI score is required in more extensive studies, it can help direct appropriate resources to those most likely to benefit and stratify patients for testing novel clinical interventions. How to cite this article: Pannu AK, Bhalla A. A Simple Tool Predicts Mortality in Aluminum Phosphide Self-poisoning. Indian J Crit Care Med 2020;24(9):755-756.

Differences between organophosphates in respiratory failure and lethality with poisoning post the 2011 bans in Sri Lanka

Introduction: Self-poisoning with organophosphorus pesticides (OPs) has high morbidity and mortality. The most toxic OP formulations have been progressively banned in Sri Lanka over the past three decades. However, respiratory failure (RF) requiring ventilation remains a major contributor to fatalities. Therefore, this study was conducted to examine the frequency of RF and death after poisoning with the currently available OPs to determine if further bans might be warranted to reduce the burden of OP poisoning in Sri Lanka.Methods: Five hundred and forty patients with confirmed OP self-poisoning were prospectively observed throughout their hospital stay following admission to Peradeniya hospital in the Central Province of Sri Lanka. Clinical data including the time and duration of intubation were documented prospectively in structured datasheets.Results: One hundred and forty-nine patients required ventilation (27%), and 34 (23%) of those died. Males with alcohol co-ingestion were more likely to develop RF. Compared to other OPs, profenofos (Odds Ratio [OR] = 2.5, 95% CI: 1.5-3.9), and quinalphos (OR = 4.5, 95% CI: 1.6-12.6) were more likely to, and chlorpyrifos (OR = 0.2, 95% CI: 0.1-0.4) less likely to lead to RF than other OPs. Profenofos was also associated with higher mortality (OR = 2.3, 95% CI: 1.1-4.6) than other OPs. The median time to intubation was longer for profenofos, but the duration of intubation was similar for all OP formulations.Conclusion: RF and deaths following OP ingestion continue to be a major problem in Sri Lanka, with profenofos being the major current agent of concern. Strategies to replace profenofos and quinalphos use with less toxic insecticides should be explored. Doctors should be alert to the high probability of delayed and prolonged RF after profenofos poisoning.

Poisoning Severity Associated with a Range of Medications in Suicide Attempts by Ingestion

There are limited data on the medical severity of suicide attempts by intentional self-poisoning (ISP) associated with ingestion of differing classes of medications and meager data on specific agents. The purpose of the study was to address these gaps. This was an analysis of a consecutive series of ISP cases ages 13 to 65 treated at a U.S. university medical center (N = 671). The outcome, poisoning severity, was dichotomized as "moderate-severe" and "low" (reference) based on a standard measure. Class of medication (e.g., opiate) and specific agents ingested were the predictors of interest. Covariates were age, sex, and the ingestion of multiple classes of medications. Data were analyzed using multivariate logistic regression models. At the class level, ingestion of opiate was uniquely associated with increased risk for moderate-severe ISP at a statistically significant level, adjusted odds ratio (95% CI) = 2.97 (1.69, 5.21), p = .0002. Several specific agents were also associated with moderate-severe ISP. Along with the key role of opiate medications in unintentional overdose morbidity and mortality, opiate medications may also play an important and largely unrecognized role in medically serious suicidal behavior. Results also underscore the variability in toxicity of specific agents within drug classes.

Serum ammonia as an early predictor of in-hospital mortality in patients with glufosinate poisoning

Background:

The mortality rate associated with human glufosinate poisoning is high. We evaluated the usefulness of serum ammonia and sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) scores for early prediction of in-hospital mortality in glufosinate ammonium poisoning.

Methods:

A prospectively collected pesticide poisoning registry at a single academic medical center was retrospectively analyzed. Data were collected from consecutive patients diagnosed with glufosinate ammonium poisoning between May 2007 and February 2018. The initial serum ammonia level was defined as the highest serum ammonia level measured within 12 h after emergency department (ED) arrival. The SOFA and APACHE II scores were calculated using data obtained within the first 12 h after ED arrival. The patients were divided into survivor and nonsurvivor groups by in-hospital death status.

Results:

In total, 110 patients were included. Ten patients (9.1%) died in the hospital despite treatment. Median initial serum ammonia level was significantly higher in the nonsurvivor group than in the survivor group (219 (range: 158–792) versus 100.5 (range: 25–317) µg/dL, p < 0.001). Median SOFA and APACHE II scores in the survivor and nonsurvivor groups were 2 (range: 0–10) versus 5 (range: 1–8) ( p = 0.044) and 7 (range: 0–28) versus 16 (range: 8–22) ( p = 0.001), respectively. In the multiple logistic regression analysis, the initial serum ammonia level was the only independent predictor (cutoff value: 151 µg/dL).

Conclusion:

An initial serum ammonia level >151 µg/dL was an independent early predictor of in-hospital mortality in glufosinate ammonium poisoning.

Validation of the Poisoning Severity Score (PSS) in suicidal behavior by self-poisoning

Intentional self-poisoning is the leading method of suicidal behavior leading to medical attention worldwide. The medical severity of self-poisoning events has major treatment, prognostic, and medico-legal implications, yet measures of severity are limited. The Poisoning Severity Score (PSS) is a widely used scale but validation data are limited, particularly in the study of suicidal behavior per se. The sample was a consecutive series of intentional self-poisoning patients aged 13 to 65 treated at a large university medical center (n = 673). PSS scores, with a range 0 (none) to 4 (death), were calculated along with other structured clinical data and analyzed in a series of linear regressions adjusted for age and sex. Higher PSS scores were consistently associated with greater medical morbidity and more intensive acute medical treatments, and nearly all effect sizes were large. Results support the validity of the PSS in hospital-treated self-poisoning patients.

The usefulness of the SOFA and APACHE II scoring systems for the early prediction of mortality in patients with dapsone poisoning

The rate of mortality from dapsone poisoning is high because of the long absorption half-life of dapsone. This study aimed to evaluate the usefulness of the sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) scoring systems for the early prediction of mortality in patients with dapsone poisoning. This is a retrospective and observational study of consecutive patients diagnosed with dapsone poisoning. The SOFA and APACHE II scores were obtained within the first 24 h of admission. Patients were divided into survivor and non-survivor groups. In total, 106 patients were included. The SOFA scores of the survivor and non-survivor groups were 1 (0–8) and 4 (1–10), respectively ( p < 0.001). The APACHE II scores of the survivor and non-survivor groups were 9 (1–25) and 14 (3–23), respectively ( p < 0.001). Based on these scores and in-hospital mortality cases, the standardized mortality ratios for the APACHE II and SOFA were 1.00 (95% confidence interval (CI): 0.64–1.48) and 1.00 (95% CI: 0.64–1.49), respectively. In the model adjusted for clinically important variables and variables with significant differences between the survivor and non-survivor groups, the area under the curve of the SOFA (0.907; 95% CI: 0.834–0.955) was significantly higher than that of the APACHE II (0.793; 95% CI: 0.703–0.867) ( p = 0.008). The SOFA and APACHE II score systems had good discrimination and satisfactory calibration performance in patients with dapsone poisoning. However, the SOFA score was a more useful method in predicting mortality than the APACHE II score.

Determining and Comparing Predictive and Intensity Value of Severity Scores - "Sequential Organ Failure Assessment Score," "Acute Physiology and Chronic Health Evaluation 4," and "Poisoning Severity Score" - in Short-Term Clinical Outcome of Patients with Poisoning in an ICU

Introduction:

Today, poisoning is one of the problems of society and it is always one of the ten leading causes of death among youth. This study aimed to determine and compare the predictive and intensity value of three standard criteria of “Sequential Organ Failure Assessment (SOFA) score,” “Acute Physiology and Chronic Health Evaluation (APACHE) 4,” and “Poisoning Severity Score (PSS)” in short-term clinical outcome of poisoned patients.

Methods:

The prospective study conducted on 120 patients of critical care units. Data were collected using a demographic form and three criteria forms. The researcher was visiting the critical care unit daily and was filling out the demographic form of each patient in the first 24 h of hospital admission. The data were analyzed using SPSS version 16.

Results:

The results showed the mean age of patients was 35.73 ± 18.46 years with the most frequency among male patients (66.7%). The mean of criteria scores of “SOFA score,” “APACHE 4,” and “PSS” was 7.3 ± 2.97, P = 0.009; 62.43 ± 12.48, P = 0.58; and 2.4 ± 0.5, P = 0.001, respectively. The accuracy, sensitivity, specificity, positive and negative predictive values, and area under the curve of “SOFA score,” “APACHE 4,” and “PSS” were 86.2, 70.6, 94.4, 98.6, 36.2, 0.897; 83.5, 90.2, 44.4, 90.2, 44.4, 0.808; and 16.7, 100, 2, 100, 15.3, 0.786, respectively. Predicted mortality rate in “SOFA score” and “APACHE 4” was 18.7% ±20.2% and 2.63% ±2.6%, respectively. Real mortality rate, predictive duration of hospitalization by APACHE 4 criteria, and real duration of hospitalization were 15%, 1.79 ± 1.35, and 4.04 ± 4.08, respectively.

Conclusion:

The study showed that “SOFA score” was more predictive in clinical outcomes due to poisoning and it is recommended to poisoning centers as effective criteria.

Can we predict intermediate syndrome? A review

INTRODUCTION

Ingestion of organophosphorus insecticides (OPI) is a common method of deliberate self harm in the developing world. Deaths mainly follow as a result of the respiratory failure associated with both cholinergic crisis and the intermediate syndrome. Even though death can be prevented by early mechanical ventilation of these patients, limited studies are available regarding the prediction of intermediate syndrome and subsequent respiratory failure.

OBJECTIVE

To systematically review articles that are published with regard to possible prediction of intermediate syndrome using clinical, biochemical and electrophysiological parameters.

METHODS

A systematic review on literature published in English language was done in the PubMed database without a date limitation. Two sets of search terms were used. The first set consisted of MeSH Terms "organophosphates", "organophosphate poisoning", "op poisoning" "organophosphate insecticide poisoning" and "organophosphorus". The second set included the MeSH Terms "Intermediate syndrome", "proximal muscle weakness", "cranial nerve palsies", "respiratory depression" and "neck muscle weakness". Articles containing at least one word from each set were reviewed.

RESULTS

At least one MeSH term from each set was incorporated in 179 articles. Of these, 69 were rejected as they were not related to organophosphate poisoning or intermediate syndrome.

PREDICTION OF IMS

Clinical prediction is mostly based on ICU scoring systems. Biochemical markers such as reduced levels of serum and erythrocyte acetylcholine esterase have been studied many times. Both clinical and biochemical markers show a modest relationship in predicting IMS. Single fibre electromyography show promising results as it directly assesses neuromuscular junction.

CONCLUSION

The intermediate syndrome which follows organophosphate poisoning still remains a significant problem with its high morbidity. Clinical and biochemical markers show modest results in predicting IMS. Neurophysiological markers such as single fibre EMG should be studied further as they measure activity of affected nicotinic receptors directly.

Prognostic Factors Determining Morbidity and Mortality in Organophosphate Poisoning

Objective:

Our aim in this retrospective study was to determine the factors affecting poor prognosis and mortality of organophosphate (OP) poisoning by reviewing patient data. We also reviewed present knowledge to make conclusions on certain longstanding debates in light of the literature.

Methods:

In this retrospective descriptive study, patients who were admitted to and hospitalized in the emergency department (ED) or intensive care unit (ICU) of a university hospital with the diagnosis of OP poisoning between December 2010 and December 2015 were evaluated. All the data were obtained from electronic and manual patient files. A total of 80 patients were included in the study.

Results:

The mean age of the study patients was 32.4±15.0 (13-94). Forty-nine (61.2%) patients were female. Twenty-two (27.5%) patients were seriously poisoned and needed mechanical ventilation (MV) support. Low pseudocholinesterase (PChE), high creatinine (Cr), low Glasgow Coma Scale (GCS) scores and long hospitalization durations were all found to be poor prognostics in MV patients. Low PChE and high Cr levels were found to be independent predictors of the hospitalization duration and high Cr was found to be an independent predictor of the intubation duration of MV patients in regression analyses. Ten (45.5%) of the MV patients were unresponsive to medical treatment and Therapeutic plasma exchange (TPE) was performed. Seven patients were discharged healthy. Three patients with low PChE levels and comorbidities died.

Conclusions:

Prolongation of respiratory depression necessitating MV support, comorbidities, long hospital stay, elevated creatinine, low GCS scores and low PcHE levels without regeneration in the first 48 hours of admission are all found to be poor prognostic factors for organophosphate (OP) poisoning.

Organophosphate poisoning presenting as out-of-hospital cardiac arrest: A clinical challenge

Out-of-hospital cardiac arrest (OHCA) remains a challenge for physicians since effective management and definitive salvage depend upon correct determination of the etiology and the extent of injury. Definitive diagnosis of organophosphate poisoning (OP) requires physicians' clinical awareness of a typical toxidrome, that is, characteristic signs and symptoms of poisoning, and laboratory confirmation. Here we report a case of an OHCA patient with OP, which was initially misdiagnosed as an acute ST segment elevation myocardial infarction based on the patient's medical history and clinical manifestations. <Learning objective: Organophospate poisoning is associated with an increasing mortality with widely used pesticides in the developing world. Differential diagnosis of out-of-hospital cardiac arrest should include such etiology that can be reversed by early intervention.>.

Performance of the simplified acute physiology score III in acute organophosphate poisoning: A retrospective observational study

The performances of acute physiology and chronic health evaluation (APACHE) II and simplified acute physiology score (SAPS) II have previously been evaluated in acute organophosphate poisoning. We aimed to compare the performance of the SAPS III with those of the APACHE II and SAPS II, as well as to identify the best tool for predicting case fatality using the standardized mortality ratios (SMRs) in acute organophosphate poisoning. A retrospective analysis of organophosphate poisoning was conducted. The APACHE II, SAPS II, and SAPS III were calculated within 24 h of admission. Discrimination was evaluated by calculating the area under the receiver operating characteristic curve (AUROC). The SMRs were calculated as 95% confidence intervals (CIs). In total, 100 cases of organophosphate poisoning were included. The in-hospital case fatality was 19%. The median scores of the APACHE II, SAPS II, and SAPS III were 20.0 (10.0–27.0), 41.0 (28.0–54.8), and 53.0 (36.3–68.8), respectively. The AUROCs were not significantly different among the APACHE II (0.815; 95% CI, 0.712–0.919), SAPS II (0.820; 95% CI, 0.719–0.912), and SAPS III (0.850; 95% CI, 0.763–0.936). Based on these scores and in-hospital case fatality, the SMRs for the APACHE II, SAPS II, and SAPS III were 1.01 (95% CI, 0.50–2.72), 1.01 (95% CI, 0.54 -2.78), and 0.98 (95% CI, 0.33–1.99), respectively. The SAPS III provided a good discrimination and satisfactory calibration in acute organophosphate poisoning. It was therefore a useful tool in predicting case fatality in acute organophosphate poisoning, similar to the APACHE II and SAPS II.

Should We Be Using the Poisoning Severity Score?

INTRODUCTION

Despite the existence of a number of severity-of-illness classifications for other areas of medicine, toxicology research lacks a well-accepted method for assessing the severity of poisoning. The Poisoning Severity Score (PSS) was developed in the 1990s in Europe as a scoring system for poisonings reported to a poison center in order to describe a patient's most severe symptomatology. We reviewed the literature to describe how the PSS is utilized and describe its limitations.

DISCUSSION

We searched the medical literature in all languages using PUBMED, EMBASE, and SCOPUS from inception through August 2013 using predefined search terms. Out of 204 eligible publications, 40 met our criteria for inclusion in this review. There has been a paucity of published studies from North America that used the PSS. In some cases,  the PSS was misapplied or modified from standard scoring, making a bottom line appraisal of the validity or reliability of the original version of the instrument challenging. The PSS has several subjective criteria, is time consuming to score, and is likely to be of little use with some types of poisonings, limiting its clinical utility.

CONCLUSION

The PSS was developed as a tool to document encounters with poisoned patients. However, it is used infrequently and, when applied, has been misused or modified from its original form. In its current form, it has limited clinical utility and likely cannot be broadly applied to many exposures due to their unique clinical circumstances. With better global collaboration among medical toxicologists, it is possible that a modified score could be developed for use clinically or as a research instrument.

Clinical parameters that predict the need for medium or intensive care admission in intentional drug overdose patients: A retrospective cohort study

INTRODUCTION

Many patients with intentional drug overdose (IDO) are admitted to a medium (MC) or intensive care unit (IC) without ever requiring MC/IC related interventions. The objective of this study was to develop a decision tool, using parameters readily available in the emergency room (ER) for patients with an IDO, to identify patients requiring admission to a monitoring unit.

METHODS

Retrospective cohort study among cases of IDO with drugs having potentially acute effects on neurological, circulatory or ventilatory function, admitted to the MC/IC unit between 2007 and 2013. A decision tool was developed, using 6 criteria, representing intubation, breathing, oxygenation, cardiac conduction, blood pressure, and consciousness. Cases were labeled as 'high acuity' if one or more criteria were present.

RESULTS

Among 255 cases of IDO that met the inclusion criteria, 197 were identified as "high acuity". Only 70 of 255 cases underwent one or more MC/IC related interventions, of which 67 were identified as 'high acuity by the decision tool (sensitivity 95.7%).

CONCLUSION

In a population of patients with intentional drug overdose with agents having potentially acute effect on vital functions, 95.7% of MC/IC interventions could be predicted by clinical assessment, supplemented with electrocardiogram and blood gas analysis, in the ER.

Scoring systems in the intensive care unit: A compendium

Severity scales are important adjuncts of treatment in the intensive care unit (ICU) in order to predict patient outcome, comparing quality-of-care and stratification for clinical trials. Even though disease severity scores are not the key elements of treatment, they are however, an essential part of improvement in clinical decisions and in identifying patients with unexpected outcomes. Prediction models do face many challenges, but, proper application of these models helps in decision making at the right time and in decreasing hospital cost. In fact, they have become a necessary tool to describe ICU populations and to explain differences in mortality. However, it is also important to note that the choice of the severity score scale, index, or model should accurately match the event, setting or application; as mis-application, of such systems can lead to wastage of time, increased cost, unwarranted extrapolations and poor science. This article provides a brief overview of ICU severity scales (along with their predicted death/survival rate calculations) developed over the last 3 decades including several of them which has been revised accordingly.