RNA-based gene therapy has been widely used for various diseases, and extensive studies have proved that suitable delivery routes greatly help the development of RNA therapeutics. Identifying a safe and effective delivery system is key to realizing RNA therapeutics' clinical translation. Inhalation is a non-invasive pulmonary delivery modality that can enhance the retention of therapeutic agents in the lungs with negligible toxicity, thereby improving patient compliance. Inhaled RNA therapeutics are increasingly becoming an area of focus for researchers; however, only several clinical trials have explored inhaled delivery of RNA for pulmonary diseases. This review presents an overview of recent advances in inhaled delivery systems for RNA therapeutics, including viral and nonviral systems, highlighting state of the art regarding inhalation in the messenger RNA (mRNA) field. We also summarize the applications of mRNA inhalants in infectious and other lung diseases. Simultaneously, the research progresses on small interfering RNAs (siRNAs), antisense oligonucleotides (ASOs), and different types of RNA are also discussed to provide new strategies for developing RNA inhalation therapy. Finally, we clarify the challenges inhaled RNA-based therapeutics face before their widespread adoption and provide insights to help advance this exciting field to the bedside.

BACKGROUND:Intertrochanteric femoral fractures are the main type of fragility fracture in the elderly,and proximal femoral nail antirotation is the preferred surgical option,but the factors associated with postoperative internal fixation failure are controversial.OBJECTIVE:A new"three-column"classification of intertrochanteric femoral fractures was proposed by evaluating patients'imaging data preoperatively and analyzing its interaction with postoperative internal fixation failure.A risk prediction model was developed and validated by using numerical algorithms,which facilitates clinicians to identify and intervene in high-risk patients preoperatively.METHODS:Patients with intertrochanteric femur fractures in Sanshui Branch of Foshan Hospital of Traditional Chinese Medicine between June 2012 and June 2022 were selected.The patients were divided into the internal fixation failure group and the internal fixation maintenance group according to whether they had internal fixation failure after surgery.According to the preoperative radiographs,the proximal femur was divided into three columns:the medial column,the lateral column,and the middle column.Each column had different subgroups.The relationship between the morphological characteristics of the"three columns"and the failure of proximal femoral nail antirotation internal fixation was analyzed,and the independent risk factors for internal fixation failure were screened out by single and then multifactorial logistic regression analyses.A risk prediction model was constructed according to the independent risk factors using R language software.The Bootstrap method was used to resample 1 000 times.The area under the curve,calibration curve,and clinical decision curve were used to evaluate the differentiation,calibration ability,and clinical application value of the model.The Youden index was used to determine the optimal risk cut-off value of the prediction model,according to which the patients were divided into high and low risk groups.The stability and extensibility of the model were evaluated according to the accuracy of its risk prediction ability.RESULTS AND CONCLUSION:(1)The four independent risk factors for postoperative internal fixation failure after surgery were predicted using the"three-column"typing system:medial column(comminuted fracture of the lesser trochanter and femoral talar)[odds ratio=5.385,95％CI(1.961,14.782),P=0.001],medial column(chimney type)[odds ratio=2.893,95％CI(1.167,7.173),P=0.022],lateral column(lateral wall thickness＜20.5 mm)[odds ratio=2.804,95％CI(1.078,7.297),P=0.035]and lateral column(lateral wall fracture)[odds ratio=4.278,95％CI(1.670,10.959),P=0.012].(2)The constructed risk prediction model showed good discrimination and accuracy[area under the receiver operating characteristic curve=0.852,95％CI(0.837,0.922)].The calibration curve showed good agreement between the model-predicted risk and the actual risk of occurrence.(3)The clinical decision curve suggested that the model had good clinical applicability when the risk threshold probability was in the range of 0.2-0.82.The risk probability of 28％was the optimal threshold for risk stratification of the model,and the predictive performance of the model was better in patients with different risk groups.(4)The"three-column"typing system constructs a predictive model to calculate the risk probability of postoperative internal fixation failure in patients with intertrochanteric femoral fractures.This method is accurate,simple,and easy to apply clinically,and can be used as a digital tool to guide personalized clinical treatment.

BACKGROUND:Intertrochanteric femoral fractures are the main type of fragility fracture in the elderly,and proximal femoral nail antirotation is the preferred surgical option,but the factors associated with postoperative internal fixation failure are controversial.OBJECTIVE:A new"three-column"classification of intertrochanteric femoral fractures was proposed by evaluating patients'imaging data preoperatively and analyzing its interaction with postoperative internal fixation failure.A risk prediction model was developed and validated by using numerical algorithms,which facilitates clinicians to identify and intervene in high-risk patients preoperatively.METHODS:Patients with intertrochanteric femur fractures in Sanshui Branch of Foshan Hospital of Traditional Chinese Medicine between June 2012 and June 2022 were selected.The patients were divided into the internal fixation failure group and the internal fixation maintenance group according to whether they had internal fixation failure after surgery.According to the preoperative radiographs,the proximal femur was divided into three columns:the medial column,the lateral column,and the middle column.Each column had different subgroups.The relationship between the morphological characteristics of the"three columns"and the failure of proximal femoral nail antirotation internal fixation was analyzed,and the independent risk factors for internal fixation failure were screened out by single and then multifactorial logistic regression analyses.A risk prediction model was constructed according to the independent risk factors using R language software.The Bootstrap method was used to resample 1 000 times.The area under the curve,calibration curve,and clinical decision curve were used to evaluate the differentiation,calibration ability,and clinical application value of the model.The Youden index was used to determine the optimal risk cut-off value of the prediction model,according to which the patients were divided into high and low risk groups.The stability and extensibility of the model were evaluated according to the accuracy of its risk prediction ability.RESULTS AND CONCLUSION:(1)The four independent risk factors for postoperative internal fixation failure after surgery were predicted using the"three-column"typing system:medial column(comminuted fracture of the lesser trochanter and femoral talar)[odds ratio=5.385,95％CI(1.961,14.782),P=0.001],medial column(chimney type)[odds ratio=2.893,95％CI(1.167,7.173),P=0.022],lateral column(lateral wall thickness＜20.5 mm)[odds ratio=2.804,95％CI(1.078,7.297),P=0.035]and lateral column(lateral wall fracture)[odds ratio=4.278,95％CI(1.670,10.959),P=0.012].(2)The constructed risk prediction model showed good discrimination and accuracy[area under the receiver operating characteristic curve=0.852,95％CI(0.837,0.922)].The calibration curve showed good agreement between the model-predicted risk and the actual risk of occurrence.(3)The clinical decision curve suggested that the model had good clinical applicability when the risk threshold probability was in the range of 0.2-0.82.The risk probability of 28％was the optimal threshold for risk stratification of the model,and the predictive performance of the model was better in patients with different risk groups.(4)The"three-column"typing system constructs a predictive model to calculate the risk probability of postoperative internal fixation failure in patients with intertrochanteric femoral fractures.This method is accurate,simple,and easy to apply clinically,and can be used as a digital tool to guide personalized clinical treatment.