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Presentations of patients of poisoning and predictors of poisoning-related fatality: Findings from a hospital-based prospective study
© Lee et al; licensee BioMed Central Ltd. 2008
Received: 25 March 2007
Accepted: 08 January 2008
Published: 08 January 2008
Poisoning is a significant public health problem worldwide and is one of the most common reasons for visiting emergency departments (EDs), but factors that help to predict overall poisoning-related fatality have rarely been elucidated. Using 1512 subjects from a hospital-based study, we sought to describe the demographic and clinical characteristics of poisoning patients and to identify predictors for poisoning-related fatality.
Between January 2001 and December 2002 we prospectively recruited poisoning patients through the EDs of two medical centers in southwest Taiwan. Interviews were conducted with patients within 24 hours after admission to collect relevant information. We made comparisons between survival and fatality cases, and used logistic regressions to identify predictors of fatality.
A total of 1512 poisoning cases were recorded at the EDs during the study period, corresponding to an average of 4.2 poisonings per 1000 ED visits. These cases involved 828 women and 684 men with a mean age of 38.8 years, although most patients were between 19 and 50 years old (66.8%), and 29.4% were 19 to 30 years. Drugs were the dominant poisoning agents involved (49.9%), followed by pesticides (14.5%). Of the 1512 patients, 63 fatalities (4.2%) occurred. Paraquat exposure was associated with an extremely high fatality rate (72.1%). The significant predictors for fatality included age over 61 years, insufficient respiration, shock status, abnormal heart rate, abnormal body temperature, suicidal intent and paraquat exposure.
In addition to well-recognized risk factors for fatality in clinical settings, such as old age and abnormal vital signs, we found that suicidal intent and ingestion of paraquat were significant predictors of poisoning-related fatality. Identification of these predictors may help risk stratification and the development of preventive interventions.
Poisoning is a public health problem worldwide [1–9] and is one of the most common reasons for attendance at hospital emergency departments (EDs) [6, 10–12]. Although the incidence of poisoning is difficult to estimate accurately, the wide availability and accessibility of chemicals and their extensive use in a variety of applications including medicine, agriculture and industry has increased the risk of poisoning [1, 2, 13].
Knowledge of the epidemiology of poisoning and its changes is important to both emergency physicians and public health practitioners, but the pattern of poisoning varies from country to country and over time, sometimes rapidly [1, 2, 13–16]. Therefore, regional epidemiological data on poisoning are very helpful in planning rational use of resources for the prevention and management of poisoning and in targeting research. Various epidemiological studies concerning poisoning have been undertaken including single hospital-based, multi-center-based and poison center-based investigations [1, 5, 6, 17, 18].
Poisoning is common in Taiwan but epidemiological studies and surveillance data are limited [2, 19, 20]. According to the Poison Control Center (PCC) the annual incidence of poison exposure in Taiwan ranges from 0.16 to 0.22 exposures per 1000 population . The PCC receives calls on poisoning and poison exposure from all over the country, but for various reasons not all poisoning cases are reported to the PCC [21, 22]; this is considered a major factor contributing to differences in estimates between those reported by the PCC and other epidemiologic studies. There is little current systematic information on the causes, circumstances and clinical course of poisoning in the southwest region of Taiwan.
In developed countries, poisoning exposure has mostly been associated with medicines, alcohol and household chemicals [1, 4, 6], whereas in developing countries the common causal agents are agrochemicals, including pesticides [13, 17, 23–25]. Pesticide exposure and pesticide-related morbidity and fatality have been, and continue to be, a major concern in acute poisonings in Taiwan. A number of studies concerning identification of prognostic factors and assessment of severity have been reported [24, 26–31], but most have focused on prognostic factors for a single type of pesticide, and have evaluated the impact using clinical scoring systems such as the Simplified Acute Physiology Score (SAPS) II and Acute Physiology and Chronic Health Evaluation (APACHE) II and III [26, 30–33]. Factors that help to predict overall poisoning-related fatality formed the basis of the present study, as these have rarely been elucidated.
We speculated that factors generally associated with unfavorable prognosis in clinical settings, such as unstable vital signs (including decreased consciousness, shock status, respiratory distress, abnormal heart rate and abnormal body temperature), history of major disease, and old age are predictors of fatality in cases of poisoning. However, other patient characteristics may also be associated with poisoning-related fatality. The objectives of this study were to describe the demographic and clinical characteristics in poisoning cases, and to compare instances of poisoning-related fatality and survival to identify and evaluate predictors of fatality.
Study design, setting, and selection of the study population
We conducted a prospective study involving recruited consecutive cases of acute and chronic poisoning exposure in children and adults who presented between January 1, 2001 and December 31, 2002 to the EDs of the only two medical centers in the Tainan area. This area is in the southwest region of Taiwan, includes Tainan City and the Tainan County, and had a population of about 1,850,000 during the study period. The study proposal was reviewed and approved by the Research Grant Review Committee of National Science Council, Taiwan, R.O.C., and the Research Grant Review Committee of the National Cheng Kung University.
Data collection and processing
All consecutive cases of poisoning exposure, including cases with adverse drug effects of prescribed medication were enrolled within 24 hours of arrival at the ED, but cases diagnosed as food poisoning were excluded. We also enrolled patients who died on arrival. Poisoning was defined as exposure to drugs or any environmental substance resulting in an ED visit, even if the patient was considered symptom-free by the ED staff. Acute exposure was defined as a single exposure, continuous exposure lasting less than 8 hours, or repeated exposures over a period no longer than one week . Chronic exposure was defined as continuous exposure lasting for 8 hours or more, or repeated exposures over a period longer than one week [1, 2]. A poisoning report form was developed for data collection, and periodically evaluated and refined on the basis of preliminary data. The information collected included demographic data; exposure agents, time, types, routes and reasons; history of suicide attempts, psychiatric diseases, substance abuse or major systemic disease; presenting symptoms and signs; details of psychiatric consultation; methods of management; clinical observations; ED and final outcomes; and laboratory data. Poisoning report forms were completed for all enrolled patients except those diagnosed with food poisoning. Report form data were initially obtained through direct interview of patients or patient caregivers by the ED staff and medical assistants. The reports were completed by trained assistants who followed the patients during hospitalization. Those who were discharged with stable condition were routinely followed by the psychiatric or toxicological outpatient clinic for at least once, and therefore we could obtain information on each patient's condition after discharge. For those who were discharged with unstable condition, were transferred to other hospitals, or could not return to the outpatient clinics, follow-up phone calls were made to the patients or their friends or relatives to obtain information.
According the practice of the two participating EDs, all poisoning cases receive psychiatric consultation or social worker consultation, and therefore, the suicide intents were assessed by professional staff. For those who were unable to be assessed in the ED, the consultation would be performed after their conditions were stabilized. On most of the critically ill and die-on-arrival patients, we managed to obtain information from their friends, relatives, emergency paramedical technicians, and policemen.
All enrolled patients were tracked throughout the hospitalization period and during follow-up to document final outcomes. These were categorized as survival or poisoning-related fatality, the latter being defined as death during hospitalization or death after discharge that could be attributable to the poisoning episode.
Primary data analysis
The potential poisoning-related fatality predictors evaluated in this study included demographic characteristics (age and gender), exposure types (acute or chronic), nature of the exposure agents, the number of exposure agents (multiple or single), suicidal intent as the cause of poisoning, and concomitant use of alcohol. Vital signs (initially checked on the patient's arrival at the ED) including consciousness level, body temperature (BT), respiration pattern and rate, blood pressure and heart rate were also assessed. Past medical history of attempted suicide, psychiatric disease (e.g., schizophrenia, major depression, sleeping disorder), and other major or chronic diseases (cancers and diseases for which long-term medication is needed) was obtained from the patient or medical records. Laboratory data also recorded for reference included blood-cell counts, liver and renal function, blood gas analyses and x-rays.
We analyzed the data using SPSS statistical software (11.5.0; SPSS Inc., Chicago, IL). The exploratory data analyses checked the distribution of values and presented the results as the mean and standard deviation (SD) for numerical data, and a proportion (%) for nominal data. Differences between survivors and fatalities were tested using the chi-square test or Fisher's exact test for categorical variables, and t test for continuous variables. A p value < 0.05 was considered statistically significant, and all the statistical tests were two-tailed. We calculated the odds ratios (ORs) to assess the relationship between potential predictors and outcomes. Multiple logistic regression analyses were applied to adjust for confounders, to obtain adjusted estimates of OR and the 95% confidence interval (CI) for the independent effects of the potential predictors, and to identify significant independent predictors of outcomes.
Characteristics of the poisoning cases
General characteristics of the 1512 poisoning patients involved in the study.
Fatalities (N = 63)
Survivors (N = 1449)
Age group (years)
(N = 1493)
Age ≥ 61
Age < 61
(N = 1512)
Type of exposure
(N = 1512)
Number of Agents
(N = 1456)
History of chronic or major diseases*
(N = 1512)
History of psychiatric diseases
(N = 1512)
(N = 1512)
History of suicidal attempts
(N = 1082)
Concomitant use of alcohol
(N = 943)
Clinical status of the poisoning cases
Clinical status of the 1512 poisoning patients on arrival at the emergency room.
Fatalities (N = 63)
Survivors (N = 1449)
OR (95% CI)
(N = 1512)
GCS < 10
GCS ≥ 10
Body temperature (BT)
(N = 1475)
Hyperthermia (≥ 37.5°C) or hypothermia (< 36.0°C)
Heart rate (HR)
(N = 1468)
Tachycardia (> 120 beats/min) or bradycardia (< 60 beats/min)
HR 60 to 120 beats/min
Systolic blood pressure (SBP)
(N = 1458)
Hypotension (SBP < 90 mmHg)
SBP ≥ 90 mmHg
Respiratory rate (RR)
(N = 1461)
Respiratory distress or necessity of intubation
RR 10 to 24 per minute
Characteristics of the fatality cases
Leading agents in the 63 poison-related fatalities involved in the study.
Fatalities†N = 63
Survivors N = 1449
Total N = 1512
OR (95% CI)
Hypnotics and sedatives
0.10 (0.03 – 0.32)
1.9 (0.3 – 15.1)
3.5 (0.4 – 28.6)
2.6 (0.3 – 20.7)
116.0 (54.6 – 246.3)
2.6 (0.9 – 7.5)
2.5 (1.1 – 5.8)
4.2 (1.4 – 12.5)
47.5 (4.2 – 530.7)
Potassium cyanide (KCN)
47.5 (4.2 – 530.7)
0.8 (0.3 – 2.3)
1.4 (0.2 – 10.4)
Carbon monoxide (CO)
4.1 (1.7 – 10.2)
Predictors of fatality
Univariate analyses identified the following significant predictors for poisoning-related fatalities: age ≥ 61 years (OR 4.3, 95% CI 2.6–7.2), male gender (OR 2.5, 95% CI 1.5–4.3), attempted suicide (OR 6.3, 95% CI 2.5–15.7), history of chronic or major disease (OR 2.7, 95% CI 1.6 – 4.5), abnormal vital signs (decreased GCS, abnormal body temperature, shock status, abnormal heart rate, and insufficient respiration), and exposure agents (paraquat, organophosphates, carbamates, blasticidine-S, KCN, CO, and hypnotics/sedatives) (Tables 1, 2 and 3).
Prognostic factors associated with poisoning fatality.
Full model OR (95% CI)
Final Model 1* OR (95%CI)
Final Model 2* OR (95%CI)
Exposure to paraquat
Exposure to blasticidin-S
Exposure to KCN
Exposure to carbamates
Exposure to CO
Exposure to organophosphates
Exposure to hypnotics and sedatives
Abnormal heart rates
Abnormal body temperature
Consciousness level (GCS < 10)
6.3 (2.5 – 15.7)
7.5 (2.1 – 26.9)
9.9 (2.7 – 35.9)
Age ≥ 61 years
4.3 (2.6 – 7.2)
5.1 (2.0 – 12.6)
5.6 (2.3 – 13.8)
History of chronic or major diseases
2.7 (1.6 – 2.5)
2.5 (1.5 – 4.3)
Characteristics of the poisoning cases
The frequency of poisoning-related ED visits varies around the world, ranging from 0.76 to 24 per 1000 ED visits [5, 10, 12, 34–37], and the ratio of females to males involved also varies [4, 5, 10, 12, 35, 36, 38, 39]. In our study the frequency of poisoning-related ED visits was 4.2 per 1000 (around the middle of the published range) and females dominated, as has been found in some other countries [10, 36, 38, 40]. Consistent with a recent study in southern Taiwan  and studies from other countries [6, 8, 10, 35, 38, 40], attempted suicide was the most common (66.1%) cause of poisoning.
Drugs (49.9%) were the dominant poisoning agent in our study. This phenomenon has been reported in other regions of Taiwan , in many Western countries [1, 4, 6, 37], and in some eastern Mediterranean  and Asian [38, 39] countries. The implementation of the national health insurance program resulted in the wide availability of prescription drugs to the residents in Taiwan, which should be one of the major factors leading to the phenomenon observed in our study. Other contributing factors might include the prescription patterns of physicians, the dissemination of news related to suicides through the mass media, and user's knowledge about the effects of drug overdose.
We also found a negative association between exposure to hypnotics/sedatives and poisoning fatality. Most hypnotics/sedatives are considered to be relatively safe, and no case in our study involved an individual taking hypnotics/sedatives and pesticides (which caused most of the fatalities; 73.0%) at the same time. We believe these are the main reasons why exposure to drugs appears to be a protective factor in our study.
Characteristics of fatality cases
In our study the poisoning-related fatality rate was 4.3%, which is very similar to that reported for Taiwan (5.7%) by the PCC . This is much higher than in most Western countries [1, 4, 6, 41], probably because of the wide use of highly toxic agrochemicals in Taiwan. Although drugs accounted for most cases of poisoning in our study, pesticides were a major contributor and paraquat exposure was a strong predictor of fatality. Pesticide exposure has also been reported to be a major poisoning problem in Taiwan [2, 19, 20] and some other countries [13, 39, 42, 43]. Paraquat (24% w/v) is one of the most commonly used herbicides in Taiwan and has been the most common lethal agent of poisoning for a long time [2, 24, 44, 45]. There are various explanations for the relatively large number of pesticide poisonings in Tainan. In particular, Tainan is located in an agricultural area, making pesticides easily accessible, and appropriate storage containers are not generally used. Another factor may be a lack of knowledge amongst the general public about the toxic effects of these chemicals. In addition to the measures that have been taken by authorities, including banning some of the most toxic pesticides (e.g., endosulfan and parathion) and promoting less use of pesticides, there is a need for greater efforts aimed at reducing the number of deaths caused by pesticide poisoning.
Predictors of fatality
The diagnosis and treatment of acute poisoning are often challenging for ED staff, and some poisoning characteristics such as amount ingested , attempted suicide , pesticide exposure  and concomitant alcoholic consumption  have been found to be useful in risk stratification. However, the exposure history is sometimes hard to obtain from suicidal or critically ill patients, and information obtained at admission on illegal drug use is often incomplete or inaccurate . In our study, information on the concomitant use of alcohol was only available in 62.4% of the enrolled patients. In the absence of accurate and adequate information on exposure, objective and obvious parameters for predicting fatality are valuable. Some scoring systems and biological predictors have been evaluated in previous studies for their application in risk stratification for certain herbicides. These include the Simplified Acute Physiology Score (SAPS) II [30, 31], Acute Physiology and Chronic Health Evaluation (APACHE) II [26, 30, 31, 33] and III [30, 31] scores, blood pressure, FiO2, leukocytosis, acidosis, number of organ failures, pulmonary edema, and hyperkalemia [27, 29, 48]. Since accurate exposure history is often hard to acquire, simple and easy-to-obtain parameters that could be applied to most cases of poison exposure would be very useful in clinical settings. In this study, using multiple logistic regression analysis, we identified some easily measurable and useful parameters for predicting poisoning-related fatality, including body temperature, blood pressure, heart rate and respiration. Such objective information is routinely collected in the ED, and can help emergency physicians to quickly detect poisoned patients, predict poor outcomes, and expedite dispatch of those who need it to intensive care.
Limitations of the study
As in other similar studies, the difficulty in obtaining complete information in some cases is a limitation of our study. For example, information on alcohol consumption was provided by only 62.4% of the participants, which limited further analyses of the related issues. It should also be noted that there are limitations in generally applying some of the results of this study to other regions. Even within the same area, the pattern of poisoning may vary over time, so regularly updating epidemiology data to identify trends for specific agents and to identify risk factors is important in developing prevention strategies.
In this study we found that poisoning-related cases constituted only a small proportion (0.42%) of ED visits and had a relatively low fatality rate (4.2%). We also identified some simple parameters that can help risk stratification and detection of high risk patients, both of which are very important in provision of health care with the limited resources in the ED. While there may be limitations in generally applying the findings of this study to other regions, our results suggest that long-recognized indicators of a poor prognosis – old age and abnormal vital signs – can also be applied to cases of poisoning. In addition, we found that suicidal intent was a hallmark of poisoning-related fatality. Equally importantly, we demonstrated that even though the toxicity of paraquat is well recognized, it continues to stand out as the dominant agent for poisoning-related fatalities in some parts of the world. The results of this study should act as a reminder to clinicians, public health professionals and the general public of the serious consequences of exposures to this agent.
As described above, the patterns and causal agents of poisoning vary from region to region and with time in the same region. Regularly updating epidemiology data to detect trends for specific agents and to identify risk factors is necessary to enable public health practitioners to construct preventive strategies and assist clinicians in treating patients. Our study has provided an example of how such data can be collected.
This study was supported by the National Science Council, Taiwan, R.O.C. (Grant NSC90-2320-B006-087) and the National Cheng Kung University Hospital (Grant NCKU90-052).
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