ABSTRACT
Objective:To investigate the predicting value of high sensitivity C-reactive protein (hs-CRP) and albumin (Alb) ratio on prognosis of patients with in-hospital cardiac arrest (IHCA).Methods:A total of 107 patients with IHCA and spontaneous circulation recovery (ROSC) after cardiopulmonary resuscitation (CPR) in the Affiliated Hospital of Xuzhou Medical University during January 1, 2017 and September 30, 2020 were selected as the subjects and divided into the survival group and death group according to the survival condition on day 14 after IHCA. The correlation between ratio of high sensitivity C-reactive protein/albumin (hs-CRP/Alb) and the prognosis of patients was analyzed.Results:No statistical significant differences were found between the survival and death groups in sex, age, medical history, ECG monitoring, recovery ventilation mode, percentage of first monitoring of heart rate and pre-resuscitation Alb (all P > 0.05). However, there were significant differences in the percentage of non-cardiogenic CA and adrenaline dose > 5 mg, time of CPR, concentrations of blood lactic acid, Alb, hs-CRP, and ratio of hs-CRP/Alb (all P < 0.05). Logistic regression analysis showed that percentage of adrenaline dose > 5 mg, concentration of blood lactic acid, time of CPR, and ratio of hs-CRP/Alb were independent risk factors for predicting death. ROC curve analysis showed that hs-CRP/Alb ratio, and concentration of hs-CRP and Alb had predictive value on the death of patients with IHCA; the areas under the curves of hs-CRP/Alb ratio, hs-CRP and Alb concentration were 0.876, 0.864 and 0.745, respectively. The predictive efficiency of hs-CRP/Alb ratio was better than that of hs-CRP concentration or Alb concentration. Conclusions:hs-CRP/Alb ratio has predictive value for the prognosis of patients with IHCA and the predictive value is superior to that of hs-CRP and Alb concentration.
ABSTRACT
Over recent decades, Taihu Lake, the third largest freshwater lake in China, has borne the brunt of intensive human activities. Non-point source pollutants and discharges of domestic wastewater are now the main cause of eutrophication. To control non-point source pollution, it is useful to have a good understanding of the spatial and temporal distribution of N (nitrogen). In this study, we applied Export Coefficient Model (ECM) and the Net Anthropogenic Nitrogen Inputs (NANI) method to estimate the N loads in the Taihu Basin at county scale since 1980. We found that N inputs and exports had increased from 6432 and 3170â¯kgâ¯Nâ¯km-2â¯yr-1 in 1980 to 9722 and 4582â¯kgâ¯Nâ¯km-2â¯yr-1 in 2010, respectively. The 151% increase of N inputs, but 144% increase of riverine N outputs suggested the more N was retained within the Taihu Basin. Both the population density and the urban areas were strongly correlated with N inputs and exports. Approximately 38% of the N inputs were exported in 2010, but only 19% were exported in 1980. This ratio illustrated that human activities, especially urbanization and population growth, have upset N budget in the Taihu Basin. This study supported by empirical models provides a case to demonstrate the N cascade in the Taihu Basin and can also be used to support decision making and to facilitate the development of measures to control N in the future.
