This paper reviews the current status, problems, challenges, and considerations of enhanced recovery after surgery (ERAS) nursing for hip fracture patients in China, and systematically elaborates on the ERAS nursing programs, nursing pathways, and quality evaluation standards for hip fracture patients in China. In response to the challenges of differentiated starting, difficult clinical practice, and incomplete quality evaluation system in implementing ERAS nursing for hip fracture patients in China, suggestions are proposed to focus on national policies, standardize basic service content, optimize perioperative treatment and nursing processes for elderly hip fracture patients, strengthen the construction of ERAS nursing teams, and implement full cycle process management.

Objective:To analyze the predictive value of age-adjusted Charlson comorbidity index (ACCI) on the risk of falls in elderly patients with femoral neck fractures.Methods:This study was a retrospective cohort study. From June 2021 to June 2022, cluster sampling was used to select 1 050 patients with femoral neck fractures at the Honghui Hospital affiliated with Xi'an Jiaotong University as the study subject. This study calculated the total ACCI score based on patient comorbidities, and divided patients into a low-risk fall group ( n=282) and a high-risk fall group ( n=768) based on whether the fall risk factor assessment score was ≥4.This study compared the differences in age, gender, American Society of Anesthesiologists (ASA) grading, ACCI score, white blood cell count, red blood cell count, platelet count, lymphocyte count, serum albumin, hemoglobin, creatinine, and urea nitrogen between the two groups. Independent variables with P<0.05 were included in binary Logistic regression to analyze the factors affecting the risk of falls in patients, and a receiver operating characteristic (ROC) curve was plotted. Results:There were statistically significant differences in age, ASA grading, red blood cell count, lymphocyte count, ACCI score, serum albumin, hemoglobin, creatinine, and urea nitrogen between the two groups of patients ( P<0.05). Logistic regression analysis found that age, ASA score, and ACCI score were independent risk factors for fall risk ( P<0.05), while serum albumin was an independent protective factor for fall risk ( P<0.05). The area under the ROC curve of ACCI for predicting fall risk was 0.892, and a score of 4 in ACCI was the cutoff value for predicting fall risk. Conclusions:ACCI can serve as an auxiliary tool for evaluating and predicting the risk of falls in elderly patients with femoral neck fractures, and can provide reference for clinical screening of high-risk individuals for falls.

Objective:To explore the occurrence and influencing factors of serum uric acid elevation in patients with coronavirus disease 2019 (COVID-19) treated with favipiravir.Methods:Medical records of patients with COVID-19 who were hospitalized in Beijing Ditan Hospital between June 1, 2020 and June 30, 2021 and treated with the 5- or 10-day regimen of favipiravir were collected and retrospectively analyzed. After favipiravir withdrawal, if the elevation in serum uric acid was ≥30% of baseline level, it was defined as serum uric acid elevation. Then patients were divided into serum uric acid elevation group and non-serum uric acid elevation group. The clinical characteristics such as gender, age, body mass index, comorbidities, smoking and drinking behavior, COVID-19 grade, favipiravir regimen, and serum uric acid level and renal function before treatment in patients between the 2 groups were compared. Influencing factors of favipiravir-associated serum uric acid elevation was analyzed using multivariate logistic regression method.Results:A total of 179 patients were included in the analysis, including 104 (58.1%) males and 75 (41.9%) females, aged from 19 to 70 years with a median age of 43 years. The level of serum uric acid in 179 patients after favipiravir treatment was significantly higher than before [(451±119) μmol/L vs. (332±94) μmol/L, P<0.001]. The change rate of serum uric acid from baseline level ranged from -57.1% to 157.8% with the median of 38.6%. The elevation in serum uric acid of ≥ 30% of baseline level occurred in 108 (60.3%) patients. The incidences of serum uric acid elevation in patients treated with 5-day and 10-day regimens of favipiravir were 46.8% (36/77) and 70.6% (72/102), respectively, and the difference between them was significant ( P=0.001). Multivariate logistic regression analysis showed that body mass index 24.0 to <28.0 kg/m 2 ( OR=3.109, 95 %CI: 1.209-7.994, P=0.019) and 10-day regimen of favipiravir ( OR=3.017, 95 %CI: 1.526-5.964, P=0.001) were independent risk factors for favipiravir-associated serum uric acid elevation. Conclusions:More than half of COVID-19 patients treated with favipiravir can develop serum uric acid elevation. Overweight and 10-day regimen of favipiravir are independent risk factors for serum uric acid elevation in patients.

Objective:To explore the occurrence and influencing factors of serum uric acid elevation in patients with coronavirus disease 2019 (COVID-19) treated with favipiravir.Methods:Medical records of patients with COVID-19 who were hospitalized in Beijing Ditan Hospital between June 1, 2020 and June 30, 2021 and treated with the 5- or 10-day regimen of favipiravir were collected and retrospectively analyzed. After favipiravir withdrawal, if the elevation in serum uric acid was ≥30% of baseline level, it was defined as serum uric acid elevation. Then patients were divided into serum uric acid elevation group and non-serum uric acid elevation group. The clinical characteristics such as gender, age, body mass index, comorbidities, smoking and drinking behavior, COVID-19 grade, favipiravir regimen, and serum uric acid level and renal function before treatment in patients between the 2 groups were compared. Influencing factors of favipiravir-associated serum uric acid elevation was analyzed using multivariate logistic regression method.Results:A total of 179 patients were included in the analysis, including 104 (58.1%) males and 75 (41.9%) females, aged from 19 to 70 years with a median age of 43 years. The level of serum uric acid in 179 patients after favipiravir treatment was significantly higher than before [(451±119) μmol/L vs. (332±94) μmol/L, P<0.001]. The change rate of serum uric acid from baseline level ranged from -57.1% to 157.8% with the median of 38.6%. The elevation in serum uric acid of ≥ 30% of baseline level occurred in 108 (60.3%) patients. The incidences of serum uric acid elevation in patients treated with 5-day and 10-day regimens of favipiravir were 46.8% (36/77) and 70.6% (72/102), respectively, and the difference between them was significant ( P=0.001). Multivariate logistic regression analysis showed that body mass index 24.0 to <28.0 kg/m 2 ( OR=3.109, 95 %CI: 1.209-7.994, P=0.019) and 10-day regimen of favipiravir ( OR=3.017, 95 %CI: 1.526-5.964, P=0.001) were independent risk factors for favipiravir-associated serum uric acid elevation. Conclusions:More than half of COVID-19 patients treated with favipiravir can develop serum uric acid elevation. Overweight and 10-day regimen of favipiravir are independent risk factors for serum uric acid elevation in patients.

Adaptation, Physiological ; Adenosine Monophosphate ; administration & dosage ; analogs & derivatives ; pharmacology ; therapeutic use ; Administration, Intranasal ; Alanine ; administration & dosage ; analogs & derivatives ; pharmacology ; therapeutic use ; Animals ; Betacoronavirus ; genetics ; physiology ; Chlorocebus aethiops ; Coronavirus Infections ; drug therapy ; virology ; Disease Models, Animal ; Female ; Host Specificity ; genetics ; Lung ; pathology ; virology ; Male ; Mice ; Mice, Inbred BALB C ; Mice, Inbred C57BL ; Mutation, Missense ; Nasal Mucosa ; virology ; Pandemics ; Pneumonia, Viral ; drug therapy ; virology ; RNA, Viral ; administration & dosage ; genetics ; Turbinates ; virology ; Vero Cells ; Viral Load ; Virus Replication