Epidemiology of hospitalizations due to pesticide intoxication-associated acute kidney injury in China.

BACKGROUND: There is a paucity of epidemiological data regarding pesticide intoxication-associated acute kidney injury (AKI). Therefore, the aim of this study was to identify the epidemiological features, risk factors, and adverse outcomes of AKI in this population. METHODS: The data used in this multi-center, hospitalized population-based, retrospective study were retrieved from electronic medical records. AKI was defined as an acute increase in serum creatinine according to the criteria of Kidney Disease: Improving Global Outcomes. The Charlson Comorbidity Index was used to evaluate the burden of in-hospital mortality. RESULTS: Of 3,371 adult patients in 11 hospitals, 398 (11.8%) were diagnosed with AKI (grade 1, 218 [6.5%]; grade 2, 89 [2.6%]; grade 3, 91 [2.7%]). Herbicide intoxication was associated with the highest incidence of AKI (53.5%) and higher grades of AKI. After multivariable adjustment, pesticide categories and moderate or severe renal disease were independently associated with AKI. As compared with the referred category, insecticide and herbicide intoxications were associated with a 1.3-fold (95% CI 1.688-3.245) and 3.8-fold (95% CI 3.537-6.586) greater risk of AKI. Regardless of the pesticide category, AKI was independently associated with in-hospital mortality, with odds ratios of 3.433 (95% CI 1.436-8.203) for insecticides, 2.153 (95% CI 1.377-3.367) for herbicides, and 4.524 (95% CI 1.230-16.632) for unclassified or other pesticides. CONCLUSION: AKI is common in pesticide intoxication and associated with an increased in-hospital mortality. Herbicides pose the greatest risks of AKI and death.

Feasibility of coding-based Charlson comorbidity index for hospitalized patients in China, a representative developing country.

BACKGROUND: The Charlson Comorbidity Index (CCI) can be automatically calculated from the International Classification of Disease (ICD) code. However, the feasibility of this transformation has not been acknowledged, particularly in hospitals without a qualified ICD coding system. Here, we investigated the utility of coding-based CCI in China. METHODS: A multi-center, population-based, retrospective observational study was conducted, using a dataset incorporating 2,464,395 adult subjects from 15 hospitals. CCI was calculated using both ICD-10-based and diagnosis-based method, according to the transformation rule reported previously and to the literal description from discharge diagnosis, respectively. A κ coefficient of variation was used as a measure of agreement between the above two methods for each hospital. The discriminative abilities of the two methods were compared using the receiver-of-operating characteristic curve (ROC) for prediction of in-hospital mortality. RESULTS: Total agreement between the ICD-based and diagnosis-based CCI for each index ranged from 86.1 to 100%, with κ coefficients from 0.210 [95% confidence interval (CI) 0.208-0.212] to 0.932 (95% CI 0.924-0.940). None of the 19 indices of CCI had a κ coefficient > 0.75 in all the hospitals included for study. The area under the curve of ROC for in-hospital mortality of all 15 hospitals was significantly lower for ICD-based than diagnosis-based CCI [0.735 (0.732, 0.739) vs 0.760 (0.757, 0.764)], indicative of more limited discriminative ability of the ICD-based calculation. CONCLUSIONS: CCI calculated using ICD-10 coding did not agree with diagnosis-based CCI. ICD-based CCI displayed diminished discrimination performance in terms of in-hospital mortality, indicating that this method is not promising for CCI scoring in China under the present circumstances.