ABSTRACT
Objective To establish and evaluate the predictive value of the risk prediction model for lung infection within postoperative 1 year in kidney transplant recipients. Methods Clinical data of 197 kidney transplant recipients were retrospectively analyzed. All recipients were divided into the infection group (n=42) and non-infection group (n=155) according to the incidence of lung infection within postoperative 1 year. The incidence and risk factors of lung infection after kidney transplantation were analyzed. Risk prediction model was established by multiple logistic regression analysis. Forty-five kidney transplant recipients who met the inclusion criteria, including 8 cases in the infection group and 37 cases in the non-infection group, were selected to verify the predictive effect of the established model. Results The incidence of lung infection within 1 year after kidney transplantation was 21.3% (n=42), including 38 cases (90%) of pneumonia severity index (PSI) class Ⅰ, 1 case (2%) of PSI class Ⅲ and 3 cases (8%) of PSI class Ⅴ. Lung infection occurred within 1 month after operation in 13 cases, within postoperative 2-6 months in 22 cases and after postoperative 6 months in 7 cases. Nineteen recipients were diagnosed with bacterial infection, 7 cases of fungal infection, 10 cases of viral infection and 6 cases of mixed infection. Smoking history, diabetes mellitus history, pulmonary disease history and albumin level of < 35 g/L were the independent risk factors for lung infection after kidney transplantation (all P < 0.05). The equation of risk prediction model for postoperative lung infection in kidney transplant recipients was logit (lung infection within postoperative 1 year in kidney transplant recipients)=-1.891+1.063×smoking history (yes=1, no=0)+1.398×diabetes mellitus history (yes=1, no=0)+1.732×pulmonary disease history (yes=1, no=0)+1.269×albumin level (< 35 g/L=1, ≥35 g/L=0). The area under the curve (AUC) of receiver operating characteristic (ROC) was 0.788, the sensitivity was 0.786, the specificity was 0.645, and the Youden index was 0.431, respectively. Hosmer-Lemeshow goodness-of-fit test demonstrated that the predicted value of this model yielded relatively high consistency with the observed value. The AUC in the verification group was 0.834. Hosmer-Lemeshow goodness-of-fit test validated high degree of calibration of this model. Conclusions The risk prediction model, consisting of smoking history, diabetes mellitus history, pulmonary disease history and albumin level as predictors, may effectively predict the incidence of lung infection within postoperative 1 year in kidney transplant recipients.
ABSTRACT
Objective To investigate the effects of kidney-deficiency on auditory cortex metabolism in the elderly by using the proton magnetic resonance spectroscopy(1H-MRS).Methods 50 volunteers,including 20 young subjects and 30 older subjects matched for gender,were measured by pure tone audiometry、“kidney-deficiency”-related test and were executed 3.0 T multi-voxel 1H-MRS tests,The ratios of N-acetylaspartate (NAA),choline (Cho) and lactate (Lac) to creatine (Cr) were measured and were compared between the two groups.The t-test analysis were used for statistic process.The relationship between auditory cortex metabolism and the symptom of kidney-deficiency was also analyzed.Resnlts The result of kidney-deficiency-related test and pure tone audiometry revealed that there was significant difference between the two groups and the older subjects had the more severity kidney-deficiency and high-frequency hearing loss (t=6.335、19.558,P＜0.05).The NAA/Cho ratio in the auditory cortex in the older group was significantly lower than that in the younger group (t=2.90,P＜0.05).There were no significant differences between two groups for the ratios of NAA/Cr and Cho/Cr (t=1.415、0.927,P＞0.05).Decrease of the ratio of NAA/Cho in the older group is significantly related with kidneT-deficiency(r=- 0.773,P=0.025).Conclusion kidney-deficiency play a very important role in the hearing loss and reduction of the number of neurons in auditory cortex of older healthy subjects.It suggests one possible underlying mechanism for the speech perception difficulties exhibited by aging adults.