| Literature DB >> 27817746 |
Anthony Mansour1, Layla Al-Bizri1, Jad El-Maamary1, Amanda Al-Helou1, Rayan Hamade1, Elie Saliba1, Dina Khammash1, Karim Makhoul1, Kamal Matli1, Nada Ghosn2, Mary Deeb1, Wissam H Faour3,4.
Abstract
BACKGROUND: Antidotes stocking is a critical component of hospital care for poisoned patients in emergency. Antidote stocking represents a major health challenge worldwide and in Lebanon. Systematic data monitoring of antidote stocking in Lebanese hospitals is lacking. The objective of this study is to assess the adequacy of antidotes stocking in Lebanese hospitals according to type and quantity and explore the characteristics associated with their differential availability.Entities:
Keywords: Antidote stoking; Emergency care; Lebanese hospitals; World health organization
Mesh:
Substances:
Year: 2016 PMID: 27817746 PMCID: PMC5098286 DOI: 10.1186/s40360-016-0092-7
Source DB: PubMed Journal: BMC Pharmacol Toxicol ISSN: 2050-6511 Impact factor: 2.483
Characteristics of the hospitals in Lebanon that were evaluated during the study
| Characteristic | Percentage |
|---|---|
| Bed capacity | |
| • Small (<50 beds) | 23.8 |
| • Medium (50–150 beds) | 57.1 |
| • Large (> 150 beds) | 16.7 |
| Type of hospital | |
| • Teaching | 77.4 |
| • Non-teaching | 22.6 |
| Sector | |
| • Public | 16.7 |
| • Private | 83.3 |
Prevalence of antidote stocking in Lebanese hospitals
| Antidotes | Hospitals |
|---|---|
| Percent | |
| Atropine | 100 |
| Calcium gluconate | 100 |
| Glucose | 98.8 |
| Insulin | 96.4 |
| Sodium bicarbonate | 96.4 |
| Magnesium | 95.2 |
| Vitamin K | 95.2 |
| Naloxone | 94.0 |
| Flumazenil | 85.7 |
| Protamine sulfate | 85.7 |
| NAC | 84.5 |
| Prostigmine | 83.3 |
| Methylene blue | 79.8 |
| Activated charcoal | 76.2 |
| Folic acid | 67.9 |
| Pralidoxime | 63.1 |
| D50W | 54.8 |
| Glucagon | 52.4 |
| Hydroxycobalamin | 44.0 |
| Calcium chloride | 44.0 |
| Ethanol | 40.5 |
| Octeotride | 32.1 |
| PEG solution | 41.7 |
| Leucovorin | 31.0 |
| Deferoxamine | 22.6 |
| Digoxin immune F | 21.4 |
| Isoproterenol | 20.2 |
| Pyridoxine | 19.0 |
| Cholestyramine | 6.0 |
| EDTA | 6.0 |
| Sodium nitrate | 6.0 |
| Fomepizole | 3.6 |
| Sodium thiosulfate | 3.6 |
| Dimercaprol | 2.4 |
| Cyanide Kit | 1.2 |
PEG polyethylene glycol electrolyte, D50W dextrose 50 % in water, NAC N-acetylcysteine, EDTA Ethylenediaminetetraacetic acid
Reasons reported for Not Stocking Antidotes in Lebanese hospitals
| Antidote | Percentage |
|---|---|
| Available in a nearby hospital (N=13) | |
| Magnesium | 100 |
| Sodium bicarbonate | 100 |
| Vitamin K | 100 |
| Naloxone | 75.0 |
| Protamine sulfate | 50.0 |
| NAC | 42.8 |
| Fomepizole | 37.5 |
| Folic acid | 35.7 |
| Glucagon | 35.5 |
| Pralidoxime | 35.0 |
| Leucovorin | 33.3 |
| Hydroxycobalamin | 29.2 |
| Ethanol | 32.1 |
| Alternative can be used (N=8) | |
| Activated charcoal | 61.5 |
| Calcium chloride | 54.2 |
| D50W | 52.3 |
| Dimercaprol | 44.0 |
| EDTA | 40.4 |
| Prostigmine | 33.3 |
| PEG solution | 30.4 |
| Isoproterenol | 30.0 |
| Not available in the market (N=6) | |
| Cholestyramine | 42.3 |
| Cyanide Kit | 36.2 |
| Digoxin immune F | 43.2 |
| Pyridoxine | 39.5 |
| Sodium nitrate | 43.8 |
| Sodium thiosulfate | 39.2 |
| Expensive (N=3) | |
| Flumazenil | 40.0 |
| Deferoxamine | 29.2 |
| Octeotride | 25.7 |
| Available in another place within hospital (N=2) | |
| Insulin | 66.6 |
| Methylene blue | 37.5 |
PEG polyethylene glycol electrolyte, D50W dextrose 50 % in water, NAC N-acetylcysteine, EDTA Ethylenediaminetetraacetic acid
Analysis of immediate and non-immediate antidotes availability according to hospital type, geographic area and hospital sector
| N | Mean | Std. deviation | Std. error mean |
| ||
|---|---|---|---|---|---|---|
| Mean number of immediate and non-immediate antidotes availability according to hospital type | ||||||
| Immediate | Non-teaching | 65 | 10.6308 | 2.69588 | 0.33438 | 0.001 |
| Teaching | 19 | 12.4737 | 1.71167 | 0.39268 | ||
| Non-immediate | Non-teaching | 65 | 6.8308 | 2.13285 | 0.26455 | 0 |
| Teaching | 19 | 9.7368 | 1.75885 | 0.40351 | ||
| Analysis of antidote availability according to geographic area (region) | ||||||
| Immediate | Greater Beirut | 37 | 11.1622 | 2.88207 | 0.47381 | 0.315 |
| Others | 47 | 10.9574 | 2.41335 | 0.35202 | ||
| Non-immediate | Greater Beirut | 37 | 7.8919 | 2.70579 | 0.44483 | 0.04 |
| Others | 47 | 7.1702 | 2.06755 | 0.30158 | ||
| Mean number of antidote availability according to hospital sector | ||||||
| Immediate | Private | 70 | 11.1571 | 2.71141 | 0.32408 | 0.394 |
| Public | 14 | 10.5 | 2.06621 | 0.55222 | ||
| Non-immediate | Private | 70 | 7.6714 | 2.48311 | 0.29679 | 0.04 |
| Public | 14 | 6.5714 | 1.55486 | 0.41555 | ||
Fig. 1Represents the distribution of the different antidotes among small (24.40 %), medium (58.50 %) and large (17.10 %) hospitals. * p < 0.05 significance different between hospital sizes and each specific antidote
Regression analysis of the mean antidote availability according to hospital type (teaching vs non-teaching), geographical region and bed capacity
| Coefficientsa | ||||||
|---|---|---|---|---|---|---|
| Model | Unstandardized coefficients | Standardized coefficients | t | Sig. | ||
| B | Std. error | Beta | ||||
| 1 | (Constant) | 11.239 | 3.059 | 3.674 | .000 | |
| Hospital type | 4.674 | 1.315 | .429 | 3.554 | .001 | |
| Sector | -1.780 | 1.389 | -.137 | -1.281 | .204 | |
| Region | 1.294 | 1.038 | .140 | 1.247 | .216 | |
| Bed capacity | .856 | .848 | .119 | 1.010 | .316 | |
aDependent Variable: Mean antidotes
Regression analysis of the mean “immediate” antidote availability according to hospital type (teaching vs non-teaching), sector, geographical region and bed capacity region
| Coefficientsa | ||||||
|---|---|---|---|---|---|---|
| Model | Unstandardized coefficients | Standardized coefficients | t | Sig. | ||
| B | Std. error | Beta | ||||
| 1 | (Constant) | 8.116 | 1.845 | 4.399 | .000 | |
| Hospital type | 1.970 | .793 | .319 | 2.483 | .015 | |
| Sector | -.970 | .838 | -.132 | -1.158 | .250 | |
| Region | .670 | .626 | .128 | 1.070 | .288 | |
| Bed capacity | .295 | .511 | .073 | .578 | .565 | |
aDependent Variable: Immediate
Regression analysis of the mean “not- immediate” antidote availability according to hospital type (teaching vs non-teaching), sector, geographical region and bed capacity region
| Coefficientsa | ||||||
|---|---|---|---|---|---|---|
| Model | Unstandardized coefficients | Standardized coefficients | t | Sig. | ||
| B | Std. error | Beta | ||||
| 1 | (Constant) | 3.133 | 1.486 | 2.109 | .038 | |
| Hospital type | 2.715 | .639 | .488 | 4.250 | .000 | |
| Sector | -.791 | .675 | -.119 | -1.171 | .245 | |
| Region | .599 | .504 | .127 | 1.188 | .239 | |
| Bed capacity | .552 | .412 | .150 | 1.339 | .184 | |
aDependent Variable: non-immediate