首页 | 本学科首页   官方微博 | 高级检索  
文章检索
  按 检索   检索词:      
出版年份:   被引次数:   他引次数: 提示:输入*表示无穷大
  收费全文   104篇
  免费   4篇
儿科学   9篇
基础医学   12篇
口腔科学   3篇
临床医学   11篇
内科学   46篇
皮肤病学   2篇
神经病学   3篇
外科学   3篇
预防医学   12篇
药学   1篇
肿瘤学   6篇
  2023年   6篇
  2022年   2篇
  2021年   2篇
  2020年   3篇
  2019年   4篇
  2018年   2篇
  2017年   4篇
  2016年   2篇
  2015年   1篇
  2014年   5篇
  2013年   7篇
  2012年   6篇
  2011年   7篇
  2010年   4篇
  2009年   5篇
  2008年   11篇
  2007年   14篇
  2006年   10篇
  2005年   4篇
  2004年   5篇
  2003年   1篇
  2002年   2篇
  1981年   1篇
排序方式: 共有108条查询结果,搜索用时 31 毫秒
1.
Viral assembly and budding are the final steps and key determinants of the virus life cycle and are regulated by virus–host interaction. Several viruses are known to use their late assembly (L) domains to hijack host machinery and cellular adaptors to be used for the requirement of virus replication. The L domains are highly conserved short sequences whose mutation or deletion may lead to the accumulation of immature virions at the plasma membrane. The L domains were firstly identified within retroviral Gag polyprotein and later detected in structural proteins of many other enveloped RNA viruses. Here, we used HIV-1 as an example to describe how the HIV-1 virus hijacks ESCRT membrane fission machinery to facilitate virion assembly and release. We also introduce galectin-3, a chimera type of the galectin family that is up-regulated by HIV-1 during infection and further used to promote HIV-1 assembly and budding via the stabilization of Alix–Gag interaction. It is worth further dissecting the details and finetuning the regulatory mechanism, as well as identifying novel candidates involved in this final step of replication cycle.  相似文献   
2.

OBJECTIVE

To estimate how many U.S. adults with diabetes would be eligible for individualized A1C targets based on 1) the 2012 American Diabetes Association (ADA) guideline and 2) a published approach for individualized target ranges.

RESEARCH DESIGN AND METHODS

We studied adults with diabetes ≥20 years of age from the National Health and Nutrition Examination Survey 2007–2008 (n = 757). We assigned A1C targets based on duration, age, diabetes-related complications, and comorbid conditions according to 1) the ADA guideline and 2) a strategy by Ismail-Beigi focused on setting target ranges. We estimated the number and proportion of adults with each A1C target and compared individualized targets to measured levels.

RESULTS

Using ADA guideline recommendations, 31% (95% CI 27–34%) of the U.S. adult diabetes population would have recommended A1C targets of <7.0%, and 69% (95% CI 66–73%) would have A1C targets less stringent than <7.0%. Using the Ismail-Beigi strategy, 56% (51–61%) would have an A1C target of ≤7.0%, and 44% (39–49%) would have A1C targets less stringent than <7.0%. If a universal A1C <7.0% target were applied, 47% (41–54%) of adults with diabetes would have inadequate glycemic control; this proportion declined to 30% (26–36%) with the ADA guideline and 31% (27–36%) with the Ismail-Beigi strategy.

CONCLUSIONS

Using individualized glycemic targets, about half of U.S. adults with diabetes would have recommended A1C targets of ≥7.0% but one-third would still be considered inadequately controlled. Diabetes research and performance measurement goals will need to be revised in order to encourage the individualization of glycemic targets.For nearly a decade, diabetes care guidelines from the American Diabetes Association (ADA) have recommended that the goal of glycemic control should be to lower the A1C to <7.0% for adults living with diabetes (1). This recommendation currently motivates diabetes public health programs and diabetes care translational research. All of these efforts have the overall intention of shifting the national distribution of A1C levels downward in order to improve diabetes outcomes and may lead to overtreatment of A1C levels in certain diabetes populations.Although the standard A1C target of <7.0% is probably the best-known feature of the ADA guidelines, the ADA guidelines also recommend that A1C targets should be based on individual clinical circumstances. Similar recommendations for individualized targets have been supported by the Veterans Health Administration-Department of Defense (VA-DoD), American Geriatric Society, American College of Physicians (ACP), and American Association of Clinical Endocrinologists (AACE) (25). Recommendations to individualize targets are based on major type 2 diabetes trials that found different levels of benefit, and even harm, from lower A1C levels depending on diabetes population characteristics (e.g., duration of diabetes, age, and comorbidity) (610). According to the ADA, lower A1C targets are recommended for patients with a short duration of diabetes, long life expectancy, and no significant cardiovascular disease (1). Conversely, higher A1C targets are recommended for patients with longstanding diabetes, advanced age, limited life expectancy, a history of macrovascular or advanced microvascular complications, extensive comorbidities, or a high risk for severe hypoglycemia (15). Although guidelines have identified these special populations, recommendations on how to set individualized A1C targets have been open to interpretation.Recently, a formal strategy for individualizing targets was published by Ismail-Beigi et al. (11). Similar to diabetes care guidelines, this strategy was based on expert interpretation of outcomes from prominent diabetes trials, including the U.K. Prospective Diabetes Study (UKPDS), Action to Control Cardiovascular Risk in Diabetes (ACCORD), Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified-Release Control Evaluation (ADVANCE), and Veterans Affairs Diabetes Trial (VADT) (610). The Ismail-Beigi strategy used the same clinical characteristics proposed in previous guidelines from the VA-DoD, American Geriatric Society, and ACP (e.g., age, duration of diabetes, history of macrovascular and microvascular complications, comorbidity, and psychosocioeconomic context). Based on their strategy, only adults 20–44 years of age with no history of diabetes-related complications would be recommended an A1C target of ≤6.5%, and several populations are recommended individualized A1C targets above the conventional ADA threshold of <7.0%, including adults 45–65 years of age with established macrovascular or advanced microvascular complications, adults >65 years of age with longstanding diabetes or established macrovascular or advanced microvascular complications, and all adults with advanced age. Additionally, because the Ismail-Beigi strategy suggested ranges of glycemic targets (i.e., ∼7, 7.0–8.0, or ∼8.0%), there exists the potential that some patients who could safely tolerate lower glycemic targets may be undertreated in order to stay within range.These recent calls for greater individualization of A1C targets raise fundamental public health questions. The degree to which the individualization of diabetes care is regarded as important depends on how many U.S. adults with diabetes may be candidates for A1C targets more or less stringent than the conventional target of <7.0%. Previous assessments of diabetes care quality have used population-level A1C thresholds to judge the quality of care (1214); however, the diabetes care quality may differ from previous reports using these newer standards of individualization (15). In order to understand the potential impact of the individualization of glycemic targets on diabetes care quality, we characterized the U.S. adult diabetes population by clinical variables that have been proposed as reasons to individualize A1C targets. We then operationalized the ADA and Ismail-Beigi strategies for individualization to estimate 1) the distribution of the U.S. adult diabetes population across each individualized A1C target and 2) the size of the population who have measured A1C levels that are at or below their recommended individualized A1C target.  相似文献   
3.
In this study, a specific and sensitive one-step multiplex real-time RT-PCR was developed in two assays by using primers and a number of specific locked nucleic acid (LNA)-mediated TaqMan probes which increase the thermal stability of oligonucleotides. The first assay consisted of primers and probes specific to the matrix (M1) gene of influenza A virus, matrix (M1) gene of influenza B virus and GAPDH gene of host cells for typing of influenza virus and verification by an internal control, respectively. The other assay employed primers and probes specific to the hemagglutinin gene of H1, H3 and H5 subtypes in order to identify the three most prominent subtypes of influenza A capable of infecting humans. The specificity results did not produce any cross reactivity with other respiratory viruses or other subtypes of influenza A viruses (H2, H4 and H6-H15), indicating the high specificity of the primers and probes used. The sensitivity of the assays which depend on the type or subtype being detected was approximately 10 to 10(3)copies/microl that depended on the types or subtypes being detected. Furthermore, the assays demonstrated 100% concordance with 35 specimens infected with influenza A viruses and 34 specimens infected with other respiratory viruses, which were identified by direct nucleotide sequencing. In conclusion, the multiplex real-time RT-PCR assays have proven advantageous in terms of rapidity, specificity and sensitivity for human specimens and thus present a feasible and attractive method for large-scale detection aimed at controlling influenza outbreaks.  相似文献   
4.
We studied cross-reactive antibodies against avian influenza H5N1 and 2009 pandemic (p) H1N1 in 200 serum samples from US military personnel collected before the H1N1 pandemic. Assays used to measure antibodies against viral proteins involved in protection included a hemagglutination inhibition (HI) assay and a neuraminidase inhibition (NI) assay. Viral neutralization by antibodies against avian influenza H5N1 and 2009 pH1N1 was assessed by influenza (H5) pseudotyped lentiviral particle-based and H1N1 microneutralization assays. Some US military personnel had cross-neutralizing antibodies against H5N1 (14%) and 2009 pH1N1 (16.5%). The odds of having cross-neutralizing antibodies against 2009 pH1N1 were 4.4 times higher in subjects receiving more than five inactivated whole influenza virus vaccinations than those subjects with no record of vaccination. Although unclear if the result of prior vaccination or disease exposure, these pre-existing antibodies may prevent or reduce disease severity.Outbreaks of 1997 avian influenza H5N1 and 2009 pandemic (p) H1N1 in humans have provided an opportunity to gain insight into cross-reactive immunity. The US military periodically collects and stores serum samples from service members linked to medical records.1 We measured cross-reactive antibodies in stored serum to avian influenza H5N1 and 2009 pH1N1 from US military personnel and identified factors associated with presence of neutralizing antibodies.Two hundred archived serum samples were obtained from the US Department of Defense Serum Repository. They were representative of a wide cross-section of active military personnel at the times of collection, whereas specific geographic information was not available on the individual selected; the cohort represents the general US military population, which is deployed throughout the United States and globally. Fifty samples each were selected from four birth cohorts: (1) < 1949, (2) 1960–1965, (3) 1966–1971, and (4) 1972–1977. Within each cohort, 25 samples were collected in the year 2000 (before the introduction of intranasal live attenuated influenza vaccine [LAIV]), and 25 samples were collected in 2008 (where 51% of donors had received LAIV). It has been suggested that LAIV elicits cross-reactive immunity.2,3 The samples were all collected before the outbreak of 2009 pH1N1, and there have not been any reported outbreaks of H5N1 in US military personnel.Assays used to measure antibodies included a hemagglutination inhibition (HI) assay and a neuraminidase inhibition (NI) assay.4 Viral neutralization by antibodies against H5N1 and 2009 pH1N1 was assessed by influenza (H5) pseudotyped lentiviral particle-based (H5pp)5 and microneutralization assays, respectively. Electronic medical and vaccination records from the Defense Medical Surveillance System (DMSS), which captured records before the serum sample date, were linked to samples and compared with the in vitro results.1The odds ratios (ORs) and 95% confidence intervals (95% CIs) of univariate and multivariate binary logistic regression analyses were used to determine the association between donor characteristics and positive antibody responses. A multiple logistic regression model was constructed, and it included independent variables with a P value of < 0.05 in univariate logistic regression. A P value of < 0.05 was considered to indicate statistical significance. SPSS 12.0 for Windows (SPSS Inc., Chicago, IL) was used to perform all statistical analysis.Cross-reactivity is summarized in 5 and 22.5% for the NI assay. H5pp and NI antibody titers to H5N1 were evenly distributed among birth cohorts and did not differ substantially based on history of vaccination or prior respiratory infections. Of those individuals with neutralizing antibodies to H5N1 (N = 28), 32.1% also had neutralizing antibodies to pH1N1, whereas 19.3% of those individuals with any H5N1-specific antibody response also had neutralizing antibodies to pH1N1 (
Characteristics (n)H5N12009 pH1N1§
HI assay* % positive (GM titer)H5pp % positive (GM titer)NI assay % positive (GM titer)HI assay % positive (GM titer)Neutralization % positive (GM titer)NI assay % positive (GM titer)
Total
 2000.5 (5.1)14.0 (21.4)22.5 (121.6)5.5 (7.1)16.5 (20.4)9.0 (92.8)
Birth cohort
 1936–1949 (50)2.0 (5.3)18.0 (22.0)24.0 (126.0)6.0 (7.3)16.0 (19.5)12.0 (97.6)
 1960–1965 (50)0.0 (5.0)16.0 (20.3)26.0 (129.6)6.0 (7.7)30.0 (27.5)6.0 (90.3)
 1966–1971 (50)0.0 (5.0)12.0 (23.3)20.0 (117.9)10.0 (8.0)16.0 (23.6)10.0 (92.2)
 1972–1977 (50)0.0 (5.3)10.0 (20.0)20.0 (113.7)0.0 (5.7)4.0 (13.6)8.0 (91.5)
Serum collection year
 Y2000 (100)0.0 (5.1)15.0 (21.7)21.0 (120.3)7.0 (7.3)16.0 (20.6)11.0 (94.5)
 Y2008 (100)1.0 (5.2)13.0 (21.1)24.0 (123.0)4.0 (7.0)17.0 (20.1)7.0 (91.2)
Sex
 Female (32)3.1 (5.7)21.9 (26.3)12.5 (102.4)3.1 (6.9)12.5 (19.2)6.3 (96.7)
 Male (168)0.0 (5.0)12.5 (20.5)24.4 (125.7)6.0 (7.2)17.3 (20.6)9.5 (92.1)
Any cross-reactive antibody to
 H5N1 (57)8.8 (8.9)19.3 (25.2)22.8 (119.9)
 pH1N1 (45)2.2 (5.3)28.9 (31.2)37.8 (165.2)
Neutralizing antibodies to
 H5N1 H5pp (28)10.7 (9.5)32.1 (33.6)25.0 (116.9)
 2009 pH1N1 neutralization (33)3.0 (5.4)27.3 (28.9)30.3 (140.3)
Lifetime seasonal vaccinations
 No record (66)0.0 (5.1)10.6 (20.2)27.7 (128.1)7.6 (7.4)15.2 (20.6)12.1 (96.5)
 1–5 vaccinations (88)1.1 (5.2)15.9 (21.5)17.0 (109.2)5.7 (7.1)17.0 (20.5)6.8 (89.1)
  > 5 vaccinations (46)0.0 (5.1)15.2 (22.2)32.6 (138.8)2.2 (6.8)17.4 (19.7)8.7 (95.0)
Time since last vaccine
 No record (66)0.0 (5.1)10.6 (20.2)22.7 (128.1)7.6 (7.4)15.2 (20.6)12.1 (96.5)
  ≤ 1 year (96)0.0 (5.1)15.6 (21.5)24.0 (120.7)4.2 (7.1)19.8 (21.0)8.3 (91.2)
 > 1 year (38)2.6 (5.3)15.8 (22.4)18.4 (113.4)5.2 (6.8)10.5 (18.3)5.3 (90.6)
Vaccination history lifetime (at least one dose)
 No record of vaccination (66)0.0 (5.1)10.6 (20.2)22.7 (128.1)7.6 (7.4)15.2 (20.6)12.1 (96.5)
 Inactivated whole virus (71)0.0 (5.0)14.1 (20.4)22.5 (115.7)2.8 (6.4)15.5 (19.6)5.6 (87.1)
 Split type (102)1.0 (5.0)15.7 (20.4)21.6 (115.7)4.9 (6.4)19.6 (19.6)6.9 (87.1)
 Influenza vaccine not otherwise specified (16)0.0 (5.2)12.5 (27.9)37.5 (166.4)0.0 (6.2)6.3 (16.1)12.5 (102.3)
 Live attenuated intranasal (50)0.0 (5.1)10.0 (18.8)20.0 (112.2)4.0 (7.0)18.0 (20.3)4.0 (85.2)
History of respiratory illness
 No record of illness (119)0.0 (5.0)10.1 (18.5)18.5 (112.6)4.2 (7.0)15.1 (20.5)8.4 (90.7)
 Influenza-like illness (4)0.0 (5.0)25.0 (20.7)0.0 (80.0)0.0 (8.4)25.0 (28.3)25.0 (100.2)
 Upper respiratory infection (65)1.5 (5.4)23.1 (29.3)27.7 (135.0)7.7 (7.3)18.5 (20.7)9.2 (93.1)
 Lower respiratory infection (37)2.7 (5.6)18.9 (30.2)35.1 (157.6)8.1 (8.1)21.6 (22.4)13.5 (108.4)
 Respiratory illness past year (28)0 (5.1)25.0 (25.1)32.1 (154.9)7.1 (8.0)28.6 (24.4)3.6 (86.3)
Open in a separate windowTiters with a value of zero (below the detection limit) were assigned a value of five for calculation of geometric means (GMs).*H5N1, A/Vietnam/1203/2004; positive titer ≥ 40.H5 hemagglutinin (A/Cambodia/408008/05) pseudotyped lentiviral particle; positive titer ≥ 160.Reassortant H1N1 (HA, PB1, PB2, PA, NP, and M from H1N1 [A/PR/8/34]; N1 from H5N1 [A/Vietnam/DT-036/2005]); positive titer ≥ 160.§2009 H1N1, A/California/04/2009; same positive titer cutoffs as for H5N1.As with H5N1, samples with positive HI titers were low for 2009 pH1N1 at 5.5%, whereas neutralizing antibody titers were higher, with 16.5% positive in the microneutralization assay but only 9% positive in the NI assay. Positive neutralization titers were less evenly distributed among birth cohorts, with only 4% positive in the 1972–1977 birth cohort, whereas 30% were positive in the 1960–1965 cohort. Like H5N1, positive antibody titers to 2009 pH1N1 did not differ substantially based on history of vaccination or prior respiratory infections. Of those individuals with neutralizing antibodies to pH1N1 (N = 33), 27.3% also had neutralizing antibodies to H5N1, whereas 28.9% of those individuals with any pH1N1-specific antibody response also had neutralizing antibodies to H5N1.Univariate associations between the prevalence of cross-reactive antibodies to H5N1 and 2009 pH1N1 and independent variables, including year of birth, serum collection year, sex, and seasonal influenza vaccination history, are shown in Characteristic (n)2009 pH1N1H5N1PrevalenceOR (95% CI)Adjusted OR (95% CI)PrevalenceOR (95% CI)Positive neutralizing antibody33 (16.5%)28 (14.0%)Serum collection year 2000 (100)16 (16.0%)ReferenceReference15 (15.0%)Reference 2008 (100)17 (17.0%)1.1 (0.5–2.3)0.7 (0.3–1.8)13 (13.0%)0.9 (0.4–1.9)Birth cohort 1936–1949 (50)8 (16.0%)4.6 (0.9–22.7)5.3 (1.0–27.0)9 (18.0%)2.0 (0.6–6.4) 1960–1965 (50)15 (30.0%)10.3 (2.2–47.9)11.0 (2.3–52.9)8 (16.0%)1.7 (0.5–5.7) 1966–1971 (50)8 (16.0%)4.6 (0.9–22.7)5.1 (1.0–26.2)6 (12.0%)1.2 (0.4–4.3) 1972–1977 (50)2 (4.0%)ReferenceReference5 (10.0%)ReferenceSex Female (32)4 (12.5%)Reference7 (21.9%)Reference Male (168)29 (17.3%)1.5 (0.5–4.5)21 (12.5%)0.5 (0.2–1.3)Positive neutralizing antibody titers H5pp (57)11 (19.3%)1.3 (0.6–2.9) pH1N1 (45)13 (28.9%)3.8 (1.6–8.7)Vaccination record Number of seasonal influenza vaccinations  No record (66)10 (15.2%)Reference7 (10.6%)Reference  1–5 vaccinations (88)15 (17.0%)1.2 (0.5–2.8)14 (15.9%)1.6 (0.6–4.2)  > 5 vaccinations (46)8 (17.4%)1.2 (0.4–3.3)7 (15.2%)1.5 (0.5–4.7) Time since last vaccination  No record (66)10 (15.2%)Reference7 (10.61%)Reference   ≤ 1 year (96)19 (19.8%)1.4 (0.6–3.2)15 (15.6%)1.6 (0.6–4.1)  > 1 year (33)4 (10.5%)0.7 (0.2–2.3)6 (15.8%)1.6 (0.5–5.1) Number of inactivated whole virus vaccinations  No record (129)22 (17.1%)ReferenceReference18 (14.0%)Reference  1–5 vaccinations (53)4 (7.5%)0.4 (0.1–1.2)0.4 (0.1–1.4)7 (13.2%)0.9 (0.4–2.4)  > 5 vaccinations (18)7 (38.9%)3.1 (1.1–8.9)4.4 (1.3–15.6)3 (16.7%)1.2 (0.3–4.7) Time since last inactivated whole virus vaccination  No record (129)22 (17.1%)Reference18 (14.0%)Reference   ≤ 1 year (19)4 (21.1%)1.3 (0.4–4.3)3 (15.8%)1.2 (0.3–4.4)  > 1 year (52)7 (13.5%)0.8 (0.3–1.9)7 (13.5%)1.0 (0.4–2.5) Number of split type vaccinations  No record (98)13 (13.3%)Reference12 (12.2%)Reference  1–5 vaccinations (94)19 (20.2%)1.7 (0.8–3.6)14 (14.9%)1.3 (0.6–2.9)  > 5 vaccinations (8)1 (12.5%)0.9 (0.1–8.2)2 (25.0%)2.4 (0.4–13.2) Time since last split type vaccination  No record (98)13 (13.3%)Reference12 (12.2%)Reference   ≤ 1 year (44)10 (22.7%)1.9 (0.8–4.8)10 (22.7%)2.1 (0.8–5.3)  > 1 year (58)10 (17.2%)1.4 (0.6–3.3)6 (10.3%)0.8 (0.3–2.3) Number of intranasal LAIV vaccinations  No record (150)24 (16.0%)Reference23 (15.3%)Reference  1–5 vaccinations (50)9 (18.0%)1.2 (0.5–2.7)5 (10%)0.6 (0.2–1.7) Time since last intranasal LAIV vaccination  No record (150)24 (16.0%)Reference23 (15.3%)Reference   ≤ 1 year (34)7 (20.6%)1.4 (0.5–3.5)3 (8.8%)0.5 (0.2–1.9)  > 1 year (16)2 (12.5%)0.8 (0.2–3.5)2 (12.5%)0.8 (0.2–3.7)Open in a separate windowTo the best of our knowledge, the present study is the first report of cross-reactive antibodies to both H5N1 and 2009 pH1N1 in a US military population. Cross-reactive antibodies to both influenza viruses were common in this population. Most serum samples (86%) positive in the H5N1 neutralization assay had no detectable HI activity (titer ≥ 10), whereas 94% of samples that neutralized 2009 pH1N1 also had detectable HI activity (titer ≥ 10; data not shown). In addition, cross-reactive antibodies to avian influenza H5N1 were not necessarily accompanied by cross-reactive antibodies to 2009 pH1N1. Taken together, these findings suggest that the observed cross-reactive neutralization against the two influenza viruses was caused by different antibodies in serum samples.This report is also the first report to associate history of receiving more than five doses of inactivated whole influenza virus vaccine with neutralizing antibodies against 2009 pH1N1. This finding suggests a protective advantage of repeated vaccination with seasonal whole virus vaccine, generating cross-reactive antibodies against previously unencountered strains. It has been suggested that the high immunogenicity of the inactivated whole virus vaccine is partly caused by the adjuvant effect of the viral RNA presented, stimulating innate immunity through the Toll-like receptor (TLR) 7-dependent pathway.6 We hypothesize that the combined effect of adjuvant activity and the heterogenous mix of flu strains that an individual would be exposed to over the course of multiple seasonal vaccinations may enhance the breadth of antibody response and promote the generation of cross-reactive antibodies.A retrospective case-control study conducted in US military personnel after the outbreak of 2009 pH1N1 showed that both 2008–2009 seasonal influenza vaccine and history of seasonal vaccine in the prior 4 years afforded some protection against pH1N1. Vaccine effectiveness (VE) was high in persons ≥ 40 (55%) or < 25 (50%) years of age but very low in persons 25–39 years of age (< 10%).7 These findings correlate with the high levels of cross-reactive 2009 pH1N1 antibodies reported here, with 30% in the 1960–1965 cohort (age range = 35–48) but only 4% in the 1972–1977 cohort (age range = 23–36). Our findings are similar to the results found recently in an elderly population in the United States.8 The exception is in those individuals born before 1950, in whom antibody responses were much higher in this cohort. Both our study and the US study differ from two recent seroprevalence studies in Singapore and China, where cross-reactive antibodies were rare in various age groups.9,10 High seasonal influenza vaccination rates in US military personnel found here and prior studies11 may explain the differences observed in these populations, although results from small retrospective seroprevalence studies should be interpreted cautiously. Possible alternative explanations include differences in laboratory assay methods, natural influenza exposure in the sampled populations, and/or use of convenience sampling methods.Studies in humans suggest that the antibody to influenza neuraminidase is associated with resistance to influenza.12 A recent serological study in a small number of human serum samples showed that 24% had cross-reactive antibodies to avian N1,13 similar to our findings (22.5%). In addition, we observed that 9% of serum samples had cross-reactive antibodies to pH1N1.Like pH1N1, persons < 40 years old seem to be most affected by H5N1 infection, with infection rarer in older individuals.14 However, we did not find a difference in cross-reactive antibody prevalence to either neuraminidase or neutralizing antibodies (H5pp) with year of birth or other immunologic markers of exposure, including vaccination history or prior respiratory illness.A possible limitation of our study is that the DMSS may not have captured all relevant medical encounter and/or vaccination data, particularly for encounters that were not entered into the system electronically or coded accurately. Data in the DMSS are provider-dependent, and the DMSS captures data from various historical time periods, dating back to 1980 for immunization data, 1985 for Department of Defense Serum Repository specimens, 1990 for demographic data, and only 1996 for outpatient data. Interpretation of data presented on history of respiratory illness, which is entirely dependent on voluntary provider reporting and International Classification of Diseases (ICD-9) coding, is particularly limited by lack of virologic confirmation.Cross-reactive immunity to pathogenic influenza strains was found in a subset of US military service members, and it may serve to prevent or reduce the severity of influenza. A better understanding of the mechanisms underlying the development of cross-reactive antibodies will aid in the development of more effective preventive and therapeutic measures.  相似文献   
5.
Hepcidin expression from monocyte of splenectomized and non-splenectomized patients with HbE-β-thalassemia     
Kanita Pratummo  Arunee Jetsrisuparb  Supan Fucharoen 《Hematology (Amsterdam, Netherlands)》2014,19(3):175-180
  相似文献   
6.
Association Between Estimated GFR,Health-Related Quality of Life,and Depression Among Older Adults With Diabetes: The Diabetes and Aging Study     
Kellie Hunter Campbell  Elbert S. Huang  William Dale  Melissa M. Parker  Priya M. John  Bessie A. Young  Howard H. Moffet  Neda Laiteerapong  Andrew J. Karter 《American journal of kidney diseases》2013
  相似文献   
7.
Symptom Burden of Adults with Type 2 Diabetes Across the Disease Course: Diabetes & Aging Study     
Rebecca L. Sudore MD  Andrew J. Karter PhD  Elbert S. Huang MD  MPH  Howard H. Moffet MPH  Neda Laiteerapong MD  Yael Schenker MD  Alyce Adams PhD  Rachel A. Whitmer PhD  Jennifer Y. Liu MPH  Yinghui Miao MPH  Priya M. John MPH  Dean Schillinger MD 《Journal of general internal medicine》2012,27(12):1674-1681

BACKGROUND

Reducing symptom burden is paramount at the end-of-life, but typically considered secondary to risk factor control in chronic disease, such as diabetes. Little is known about the symptom burden experienced by adults with type 2 diabetes and the need for symptom palliation.

OBJECTIVE

To examine pain and non-pain symptoms of adults with type 2 diabetes over the disease course ?C at varying time points before death and by age.

DESIGN

Survey follow-up study.

PARTICIPANTS

13,171 adults with type 2 diabetes, aged 30?C75?years, from Kaiser Permanente, Northern California, who answered a baseline symptom survey in 2005?C2006.

MAIN MEASURES

Pain and non-pain symptoms were identified by self-report and medical record data. Survival status from baseline was categorized into ??6, >6?C24, or alive >24?months.

KEY RESULTS

Mean age was 60?years; 48?% were women, and 43?% were non-white. Acute pain was prevalent (41.8?%) and 39.7?% reported chronic pain, 24.6?% fatigue, 23.7?% neuropathy, 23.5?% depression, 24.2?% insomnia, and 15.6?% physical/emotional disability. Symptom burden was prevalent in all survival status categories, but was more prevalent among those with shorter survival, p?<?.001. Adults ??60?years who were alive >24?months reported more physical symptoms such as acute pain and dyspnea, whereas participants <60?years reported more psychosocial symptoms, such as depressed mood and insomnia. Adjustment for duration of diabetes and comorbidity reduced the association between age and pain, but did not otherwise change our results.

CONCLUSIONS

In a diverse cohort of adults with type 2 diabetes, pain and non-pain symptoms were common among all patients, not only among those near the end of life. However, symptoms were more prevalent among patients with shorter survival. Older adults reported more physical symptoms, whereas younger adults reported more psychosocial symptoms. Diabetes care management should include not only good cardiometabolic control, but also symptom palliation across the disease course.  相似文献   
8.
H5N1 Oseltamivir-resistance detection by real-time PCR using two high sensitivity labeled TaqMan probes   总被引:3,自引:0,他引:3  
Chutinimitkul S  Suwannakarn K  Chieochansin T  Mai le Q  Damrongwatanapokin S  Chaisingh A  Amonsin A  Landt O  Songserm T  Theamboonlers A  Poovorawan Y 《Journal of virological methods》2007,139(1):44-49
A single amino acid substitution, from histidine to tyrosine at position 274 of the neuraminidase gene has converted Oseltamivir sensitive H5N1 influenza A virus into a resistant strain. Currently, Oseltamivir is being stockpiled in many countries potentially affected by the influenza A virus subtype H5N1 epidemic. To identify this change in Oseltamivir-treated patients, a method based on real-time PCR using two labeled TaqMan probes was developed for its rapid detection. In order to validate the method, Oseltamivir specimen from treated (Oseltamivir-resistant strain from a Vietnamese patient, two Oseltamivir-treated tigers) and untreated subjects have been used for this study. The results thus obtained as well as those derived from clone selection and sequencing showed that TaqMan probes could clearly discriminate wild type H274 from the mutant 274Y variant. The sensitivity of this assay was as low as 10 copies/microl and allowed the detection of the mutation in a mixture of wild type and mutant. Overall, the assay based on real-time PCR with two labeled TaqMan probes described here should be useful for detecting Oseltamivir-resistant H274Y H5N1 influenza A virus in many species and various sources of specimens with high sensitivity and specificity. Such studies can address potential differences in the diagnostic outcomes between patients who develop detectable Oseltamivir resistance and those who retain only the wild type strain of H5N1.  相似文献   
9.
Rituximab combined with CHOP for successful treatment of aggressive recurrent, pediatric B-cell large cell non-Hodgkin's lymphoma     
Jetsrisuparb A  Wiangnon S  Komvilaisak P  Kularbkaew C  Yutanawiboonchai W  Mairieng E 《Journal of pediatric hematology/oncology》2005,27(4):223-226
This report is the first to describe the successful treatment of a 14-year-old boy with aggressive recurrent, CD20-positive, B-cell large cell non-Hodgkin's lymphoma. The patient responded to three 4-week courses of rituximab (MabThera) given every 6 months and six cycles of CHOP given every 3 weeks in addition to a modified BFM 86 protocol. Transient neutropenia and lymphopenia occurred but with no clinical significance. The boy has been disease-free for the last 48 months (after 64 months of follow-up); his organ functions are normal. Rituximab and CHOP in addition to chemotherapy may be an alternative treatment for aggressive recurrent, pediatric CD20-positive B-cell large cell non-Hodgkin's lymphoma if highly intensive chemotherapy and stem cell transplantation are not available.  相似文献   
10.
Safety and immunogenicity of a three dose regimen of two tetravalent live-attenuated dengue vaccines in five- to twelve-year-old Thai children   总被引:7,自引:0,他引:7  
Sabchareon A  Lang J  Chanthavanich P  Yoksan S  Forrat R  Attanath P  Sirivichayakul C  Pengsaa K  Pojjaroen-Anant C  Chambonneau L  Saluzzo JF  Bhamarapravati N 《The Pediatric infectious disease journal》2004,23(2):99-109
OBJECTIVE: The safety and immunogenicity of tetravalent live-attenuated dengue vaccines after a three dose vaccination series were evaluated in Thai children. METHOD: One hundred three healthy flavivirus-seronegative schoolchildren ages 5 to 12 years were randomized to receive either dengue vaccine containing 3, 2, 1 and 2 log10 of the 50% cell culture infective dose, respectively, of the live-attenuated dengue vaccine serotypes 1, 2, 3 and 4 per dose (F3212; n = 40) or 3, 3, 1 and 3 log10 of the 50% cell culture infective dose (F3313; n = 42) or purified Vero cell rabies vaccine (control group; n = 21) given in a two dose schedule (3 to 5 months apart). A third dose was administered 8 to 12 months after the second dose to 90 subjects. Safety and immunogenicity were evaluated within 28 days after each injection. RESULTS: No serious adverse event related to the vaccines occurred. Most children experienced mild to moderate fever, rash, headache and myalgia occurring within 12 days after Dose 1 and generally lasting 3 days or less. One subject in Group F3212 had a 1-week dengue-like fever. Reactogenicity was minimal after Doses 2 and 3. Transient mild variations in liver enzymes and hematologic indices were noted mainly after Dose 1. After the third dose 89% of the subjects in Group F3212 seroconverted (neutralizing antibody response, > or =10) to all four serotypes, and all children in Group F3313 seroconverted. CONCLUSION: This study demonstrates a moderate although improvable reactogenicity and high seroconversion rates against the four serotypes of dengue after a three dose schedule of tetravalent live-attenuated dengue vaccine in children.  相似文献   
1 [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] 下一页 » 末  页»
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号