[Purpose]To analyze the cancer incidence and mortality in 2020 and trends from 2010 to 2020 in Henan Province.[Methods]Data from cancer registries in Henan Province from 2010 to 2020 were collected and evaluated.Incidence and mortality rates were calculated by urban/rural areas,sex and age,and the incidence and mortality of cancers in the whole province in 2020 were estimated based on population data released by Henan Provincial Bureau of Statistics.Age-standardized rates were calculated according to the age-standardized rate of Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW).Joinpoint 5.4.0 soft-ware was used to construct a regression model to analyze the changing trends of malignant tumors from 2010 to 2020,and the average annual percentage change(AAPC)and 95％confidence in-terval were calculated.[Results]In 2020,the estimated number of new cancer cases in Henan Province was 299 148,with a crude incidence rate of 259.38/105,ASIRC of 201.09/105(204.56/105 for males and 200.45/105 for females)and ASIRW of 196.46/105(203.43/105 for males and 192.22/105 for females).The ASIRC was higher in urban areas(208.10/105)than that in rural areas(197.74/105).The top five cancer types in male were lung,stomach,liver,esophagus,and colorectal cancers,while the top five in female were breast,lung,thyroid,cervical,and esophageal cancers.The estimated number of cancer deaths was 172 070,with a crude mortality rate of 149.20/105 and ASMRC of 106.52/105(137.22/105 for males and 78.04/105 for females)and ASMRW of 106.24/105(137.05/105 for males and 77.91/105 for females).The ASMRC was higher in rural areas(109.92/105)than that in urban areas(99.49/105).The top five causes of cancer death in male were lung,stomach,liver,esophagus,and colorectal cancers,and those in female were lung,esophagus,stomach,liver,and breast cancers.From 2010 to 2020,the trends of ASIRC remained stable(AAPC=0.14％,P=0.572),while the ASMRC showed a significant decreasing trend(AAPC=-1.46％,P=0.011).[Conclusion]Lung cancer,breast cancer and digestive system cancers are the main malignant tumors threatening the health of residents in Henan Province.The incidence and mor-tality of common malignant tumors show significant gender and urban-rural differences.It is neces-sary to further optimize the prevention and control of malignant tumors,formulate targeted inter-vention strategies based on population characteristics,and improve the health awareness of the whole population.

Elderly patients are a crucial population for medical treatment and referral.The establishment of standardized and efficient referral channels is essential for enhancing the referral process, improving treatment outcomes for the elderly, and optimizing the allocation of medical resources.Referral network analysis examines the integrity, structure, and dynamics of referrals to infer the characteristics of the network.This can offer insights for enhancing referral policies and elevating medical service standards.While existing research predominantly concentrates on referral networks within the general population, there is a noticeable gap in studies focusing on elderly patients.This review article assesses domestic and international research on networks formed between medical institutions or physicians through patient referrals, aiming to inform and enhance referral policies in our country.

The amino-terminal pro-C-type natriuretic peptide(NT-proCNP)is a diagnostic inflam-matory marker clinically used for diagnosing bacterial infections.This study aims to establish a phage display library of single-chain variable fragment(scFv)antibodies against canine NT-proC-NP and to screen for scFvs with high binding affinity to NT-proCNP.Initially,NT-proCNP was prepared using prokaryotic expression system and was used to immunize New Zealand White rab-bits.Upon achieving the desired serum titer,total RNA was extracted from the splenocytes of rab-bits and reverse transcribed into cDNA.Using this cDNA as a template,degenerate primers were employed to amplify the genes of the rabbit antibody light chain variable region(VL)and heavy chain variable region(VH).The VL and VH regions were spliced together to form a complete scFv fragment via overlap extension PCR.The scFv was then ligated into the phagemid pComb3XSS and electroporated into competent E.coli TG1 cells to construct a rabbit-derived anti-NT-proCNP scFv immunological library.This library underwent four rounds of enrichment and screening to isolate specific single-chain antibodies.The selected antibody was subsequently ex-pressed in a soluble form within a prokaryotic system,and its immunological activity was evalua-ted.Using phage display technology,this study successfully identified a single-chain antibody scFv-1-CNP with strong antigen-binding activity and genetic sequence characteristics of scFvs,providing a research direction for further exploration of scFv applications in the detection of NT-proCNP.

During hospitalization in the ICU, rehabilitation exercises were recognized as a crucial method for enhancing patients′ quality of life, and the volume of exercise was shown to significantly influence the effectiveness of rehabilitation for ICU patients. This article reviews the definition of exercise volume in the context of ICU patient rehabilitation, the current status of reporting, its correlation with patient outcomes, and the available measurement tools. The aim is to provide a foundational reference for quantitative research on exercise rehabilitation in ICUs within our country.

The amino-terminal pro-C-type natriuretic peptide(NT-proCNP)is a diagnostic inflam-matory marker clinically used for diagnosing bacterial infections.This study aims to establish a phage display library of single-chain variable fragment(scFv)antibodies against canine NT-proC-NP and to screen for scFvs with high binding affinity to NT-proCNP.Initially,NT-proCNP was prepared using prokaryotic expression system and was used to immunize New Zealand White rab-bits.Upon achieving the desired serum titer,total RNA was extracted from the splenocytes of rab-bits and reverse transcribed into cDNA.Using this cDNA as a template,degenerate primers were employed to amplify the genes of the rabbit antibody light chain variable region(VL)and heavy chain variable region(VH).The VL and VH regions were spliced together to form a complete scFv fragment via overlap extension PCR.The scFv was then ligated into the phagemid pComb3XSS and electroporated into competent E.coli TG1 cells to construct a rabbit-derived anti-NT-proCNP scFv immunological library.This library underwent four rounds of enrichment and screening to isolate specific single-chain antibodies.The selected antibody was subsequently ex-pressed in a soluble form within a prokaryotic system,and its immunological activity was evalua-ted.Using phage display technology,this study successfully identified a single-chain antibody scFv-1-CNP with strong antigen-binding activity and genetic sequence characteristics of scFvs,providing a research direction for further exploration of scFv applications in the detection of NT-proCNP.

During hospitalization in the ICU, rehabilitation exercises were recognized as a crucial method for enhancing patients′ quality of life, and the volume of exercise was shown to significantly influence the effectiveness of rehabilitation for ICU patients. This article reviews the definition of exercise volume in the context of ICU patient rehabilitation, the current status of reporting, its correlation with patient outcomes, and the available measurement tools. The aim is to provide a foundational reference for quantitative research on exercise rehabilitation in ICUs within our country.

[Purpose]To analyze the cancer incidence and mortality in 2020 and trends from 2010 to 2020 in Henan Province.[Methods]Data from cancer registries in Henan Province from 2010 to 2020 were collected and evaluated.Incidence and mortality rates were calculated by urban/rural areas,sex and age,and the incidence and mortality of cancers in the whole province in 2020 were estimated based on population data released by Henan Provincial Bureau of Statistics.Age-standardized rates were calculated according to the age-standardized rate of Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW).Joinpoint 5.4.0 soft-ware was used to construct a regression model to analyze the changing trends of malignant tumors from 2010 to 2020,and the average annual percentage change(AAPC)and 95％confidence in-terval were calculated.[Results]In 2020,the estimated number of new cancer cases in Henan Province was 299 148,with a crude incidence rate of 259.38/105,ASIRC of 201.09/105(204.56/105 for males and 200.45/105 for females)and ASIRW of 196.46/105(203.43/105 for males and 192.22/105 for females).The ASIRC was higher in urban areas(208.10/105)than that in rural areas(197.74/105).The top five cancer types in male were lung,stomach,liver,esophagus,and colorectal cancers,while the top five in female were breast,lung,thyroid,cervical,and esophageal cancers.The estimated number of cancer deaths was 172 070,with a crude mortality rate of 149.20/105 and ASMRC of 106.52/105(137.22/105 for males and 78.04/105 for females)and ASMRW of 106.24/105(137.05/105 for males and 77.91/105 for females).The ASMRC was higher in rural areas(109.92/105)than that in urban areas(99.49/105).The top five causes of cancer death in male were lung,stomach,liver,esophagus,and colorectal cancers,and those in female were lung,esophagus,stomach,liver,and breast cancers.From 2010 to 2020,the trends of ASIRC remained stable(AAPC=0.14％,P=0.572),while the ASMRC showed a significant decreasing trend(AAPC=-1.46％,P=0.011).[Conclusion]Lung cancer,breast cancer and digestive system cancers are the main malignant tumors threatening the health of residents in Henan Province.The incidence and mor-tality of common malignant tumors show significant gender and urban-rural differences.It is neces-sary to further optimize the prevention and control of malignant tumors,formulate targeted inter-vention strategies based on population characteristics,and improve the health awareness of the whole population.

Elderly patients are a crucial population for medical treatment and referral.The establishment of standardized and efficient referral channels is essential for enhancing the referral process, improving treatment outcomes for the elderly, and optimizing the allocation of medical resources.Referral network analysis examines the integrity, structure, and dynamics of referrals to infer the characteristics of the network.This can offer insights for enhancing referral policies and elevating medical service standards.While existing research predominantly concentrates on referral networks within the general population, there is a noticeable gap in studies focusing on elderly patients.This review article assesses domestic and international research on networks formed between medical institutions or physicians through patient referrals, aiming to inform and enhance referral policies in our country.

OBJECTIVES: This study investigated the seasonal impact of diurnal temperature range (DTR) on hospitalization rates for intracerebral hemorrhage (ICH) in middle-aged and elderly adults. METHODS: We collected data on the DTR and hospitalization records of ≥45-year-old patients with ICH in 2019 in Hunan Province, central China. Time-series analyses were performed using a distributed lag non-linear model. RESULTS: Overall, 54,690 hospitalizations for ICH were recorded. DTR showed a non-linear relationship with ICH hospitalization in both middle-aged and elderly populations (45-59 and ≥60 years, respectively). During spring, a low DTR coupled with persistently low temperatures increased ICH risk in both age groups, while a high DTR was associated with an increased risk in the middle-aged group only (relative risk [RR], 1.24; 95% confidence interval [CI], 1.21 to 1.27). In the summer, a low DTR combined with persistently high temperatures was linked to a higher risk exclusively in the middle-aged group. A high DTR in the autumn was correlated with increased risk in both age groups. In winter, either a low DTR with a continuously low temperature or a high DTR elevated the risk solely in the elderly population (RR, 1.37; 95% CI, 1.00 to 1.69). In the elderly group, the impact of DTR on hospitalization risk manifested within a 5-day period. CONCLUSIONS The impact of DTR on ICH hospitalization risk differed significantly across seasons and between age groups. Elderly individuals demonstrated greater sensitivity to the impact of DTR. Weather forecasting services should emphasize DTR values, and interventions targeting sensitive populations are needed.

OBJECTIVES: This study investigated the seasonal impact of diurnal temperature range (DTR) on hospitalization rates for intracerebral hemorrhage (ICH) in middle-aged and elderly adults. METHODS: We collected data on the DTR and hospitalization records of ≥45-year-old patients with ICH in 2019 in Hunan Province, central China. Time-series analyses were performed using a distributed lag non-linear model. RESULTS: Overall, 54,690 hospitalizations for ICH were recorded. DTR showed a non-linear relationship with ICH hospitalization in both middle-aged and elderly populations (45-59 and ≥60 years, respectively). During spring, a low DTR coupled with persistently low temperatures increased ICH risk in both age groups, while a high DTR was associated with an increased risk in the middle-aged group only (relative risk [RR], 1.24; 95% confidence interval [CI], 1.21 to 1.27). In the summer, a low DTR combined with persistently high temperatures was linked to a higher risk exclusively in the middle-aged group. A high DTR in the autumn was correlated with increased risk in both age groups. In winter, either a low DTR with a continuously low temperature or a high DTR elevated the risk solely in the elderly population (RR, 1.37; 95% CI, 1.00 to 1.69). In the elderly group, the impact of DTR on hospitalization risk manifested within a 5-day period. CONCLUSIONS The impact of DTR on ICH hospitalization risk differed significantly across seasons and between age groups. Elderly individuals demonstrated greater sensitivity to the impact of DTR. Weather forecasting services should emphasize DTR values, and interventions targeting sensitive populations are needed.