5 research outputs found
Features of the course of manifest forms of acute hepatitis C
Aim. To identify clinical, epidemiological and laboratory-instrumental features of acute hepatitis C at the present stage according to the infectious hospital data.
Methods. The study included 111 patients with acute hepatitis C aged from 18 to 79 years who were hospitalized in Republican Clinical Infectious Diseases Hospital named after A.F. Agafonov in 2011 - I quarter of 2017. Acute hepatitis C was diagnosed in accordance with the guidelines of the Ministry of Health of the Russian Federation.
Results. In the study group, females aged 21 to 40 years, non-working, predominantly living in Kazan with medical transmission of infection (34 %) prevailed. The disease was mild and moderately severe (71 %). The icteric form was observed in 94 % of patients, in 3.6 % - with a cholestatic component. When comparing laboratory parameters, markers of cytolysis and cholestasis differed significantly in patients depending on the severity (p<0.001). Changes in the gallbladder walls (an ultrasound marker of cholestasis) were revealed in 21.4 % of patients. On specific examination, the viral RNA was detected in 100 % of patients. Analysis of serological markers revealed predominance of antibodies to core and NS3 proteins, M class antibodies were detected only in half of the patients. Specific antibodies were absent (βdark diagnostic windowβ) in 3 % of patients with mild and 6 % of moderate form of the disease.
Conclusion. The feature of the course of acute viral hepatitis C was the predominance of moderate forms (71 %) with medical transmission of infection. Icteric forms of acute viral hepatitis C were diagnosed in 94 % of patients (in 3.6 % cases with the development of cholestatic component). PCR is a mandatory method of specific diagnosis of acute viral hepatitis C, and in case of a βdark diagnostic windowβ becomes the leading method
ΠΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠ°Ρ Ρ Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ° ΠΏΠ°ΠΏΠΈΠ»Π»ΠΎΠΌΠ°Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΠΎΠΉ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ Π² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ΅ Π’Π°ΡΠ°ΡΡΡΠ°Π½
Due to the high prevalence of anogenital warts, their significant economic and psychosocial burden, the lack of routine vaccination against papillomavirus infection, monitoring of the epidemiological situation for one of the common forms of papillomavirus infection β anogenital warts is relevant.The aim is to assess the epidemiological situation of anogenital warts in Tatarstan Republic for 2011β2020.Materials and methods. The study design is an observational descriptive epidemiological study. A retrospective epidemiological analysis of the incidence of anogenital warts in Tatarstan Republic for 2011β2020 was carried out. The analysis of long-term dynamics of incidence of the population as a whole and in age and sex groups is carried out. The structure of the incidence of anogenital warts was assessed. Intensive (per 100,000) and extensive morbidity rates (%) were calculated.Results. There is a decrease in the incidence of anogenital warts in Republic Tatarstan from 123,80/0000 in 2011 to 68,80/0000 in 2020. The dynamics of the incidence of anogenital warts among the female and male population had a unidirectional character β a decrease in the incidence. A comparison of incidence levels showed that the incidence of women was higher than that of men (80,40/0000 versus 55,80/0000, respectively, in 2020). The greatest incidence of anogenital warts was observed in the 18β29 age group during the observation period. The average annual incidence of anogenital warts in women aged 18β29 was 535,60/0000, in men of the same age group β 233,00/0000.Conclusion. Despite the decrease in the incidence of anogenital warts in Tatarstan Republic as a whole and in certain age and gender groups, high levels of incidence among people aged 18-29 years remain. The data obtained from the results of a retrospective analysis of the incidence of anogenital warts indicate the need to introduce routine vaccination against HPV infection, which will prevent large treatment costs, and will have a positive impact on public health indicators.Π ΡΠΈΠ»Ρ Π²ΡΡΠΎΠΊΠΎΠΉ ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΠΎΡΡΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΡΡ
Π±ΠΎΡΠΎΠ΄Π°Π²ΠΎΠΊ, ΠΈΡ
ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ ΠΏΡΠΈΡ
ΠΎΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π±ΡΠ΅ΠΌΠ΅Π½ΠΈ, ΠΎΡΡΡΡΡΡΠ²ΠΈΡ ΠΏΠ»Π°Π½ΠΎΠ²ΠΎΠΉ Π²Π°ΠΊΡΠΈΠ½Π°ΡΠΈΠΈ ΠΏΡΠΎΡΠΈΠ² ΠΏΠ°ΠΏΠΈΠ»Π»ΠΎΠΌΠ°Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΡΡΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΠΌ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ°ΡΠΈΠΈ Π·Π° ΠΎΠ΄Π½ΠΎΠΉ ΠΈΠ· ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½Π½ΡΡ
ΡΠΎΡΠΌ ΠΏΠ°ΠΏΠΈΠ»Π»ΠΎΠΌΠ°Π²ΠΈΡΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ β Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ Π±ΠΎΡΠΎΠ΄Π°Π²ΠΊΠ°ΠΌΠΈ.Π¦Π΅Π»Ρ: ΡΡΡΠ°Π½ΠΎΠ²ΠΈΡΡ Π·Π°ΠΊΠΎΠ½ΠΎΠΌΠ΅ΡΠ½ΠΎΡΡΠΈ ΠΏΡΠΎΡΠ²Π»Π΅Π½ΠΈΠΉ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΡΡ
Π±ΠΎΡΠΎΠ΄Π°Π²ΠΎΠΊ Π² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ΅ Π’Π°ΡΠ°ΡΡΡΠ°Π½ Π·Π° ΠΏΠ΅ΡΠΈΠΎΠ΄ Ρ 2011 ΠΏΠΎ 2020 Π³.ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠΈΠ·Π°ΠΉΠ½ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ β ΠΎΠ±ΡΠ΅ΡΠ²Π°ΡΠΈΠΎΠ½Π½ΠΎΠ΅ ΠΎΠΏΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠ΅ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΠΉ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ Π±ΠΎΡΠΎΠ΄Π°Π²ΠΊΠ°ΠΌΠΈ Π² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ΅ Π’Π°ΡΠ°ΡΡΡΠ°Π½ Π·Π° 2011β2020 Π³Π³. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· ΠΌΠ½ΠΎΠ³ΠΎΠ»Π΅ΡΠ½Π΅ΠΉ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ Π² ΡΠ΅Π»ΠΎΠΌ ΠΈ Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΡΡ
ΠΈ ΠΏΠΎΠ»ΠΎΠ²ΡΡ
Π³ΡΡΠΏΠΏΠ°Ρ
. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡΠ΅Π½ΠΊΠ° ΡΡΡΡΠΊΡΡΡΡ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ Π±ΠΎΡΠΎΠ΄Π°Π²ΠΊΠ°ΠΌΠΈ. Π Π°ΡΡΡΠΈΡΠ°Π½Ρ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΡΠ΅ (Π½Π° 100 000) ΠΈ ΡΠΊΡΡΠ΅Π½ΡΠΈΠ²Π½ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ (%).Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠΌΠ΅ΡΠ°Π΅ΡΡΡ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ Π±ΠΎΡΠΎΠ΄Π°Π²ΠΊΠ°ΠΌΠΈ Π² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ΅ Π’Π°ΡΠ°ΡΡΡΠ°Π½ Ρ 123,80/0000 Π² 2011 Π³. Π΄ΠΎ 68,80/0000 Π² 2020 Π³. ΠΠΈΠ½Π°ΠΌΠΈΠΊΠ° Π³ΠΎΠ΄ΠΎΠ²ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ Π±ΠΎΡΠΎΠ΄Π°Π²ΠΊΠ°ΠΌΠΈ ΡΡΠ΅Π΄ΠΈ ΠΆΠ΅Π½ΡΠΊΠΎΠ³ΠΎ ΠΈ ΠΌΡΠΆΡΠΊΠΎΠ³ΠΎ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΈΠΌΠ΅Π»Π° ΠΎΠ΄Π½ΠΎΠ½Π°ΠΏΡΠ°Π²Π»Π΅Π½Π½ΡΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ β ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ. ΠΡΠΈ ΡΡΠ°Π²Π½Π΅Π½ΠΈΠΈ ΠΈΠ½ΡΠ΅Π½ΡΠΈΠ²Π½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΡ ΠΆΠ΅Π½ΡΠΈΠ½ Π±ΡΠ»Π° Π²ΡΡΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ ΠΌΡΠΆΡΠΈΠ½ (80,40/0000 ΠΏΡΠΎΡΠΈΠ² 55,8 0/0000 ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ, ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ 2020 Π³.). ΠΠ°ΠΈΠ±ΠΎΠ»ΡΡΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ Π±ΠΎΡΠΎΠ΄Π°Π²ΠΊΠ°ΠΌΠΈ ΠΎΡΠΌΠ΅ΡΠ°ΡΡΡΡ Π² Π³ΡΡΠΏΠΏΠ΅ 18β29 Π»Π΅Ρ Π² ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ Π²ΡΠ΅Π³ΠΎ ΠΏΠ΅ΡΠΈΠΎΠ΄Π° Π½Π°Π±Π»ΡΠ΄Π΅Π½ΠΈΡ. Π‘ΡΠ΅Π΄Π½Π΅ΠΌΠ½ΠΎΠ³ΠΎΠ»Π΅ΡΠ½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ Π±ΠΎΡΠΎΠ΄Π°Π²ΠΊΠ°ΠΌΠΈ ΠΆΠ΅Π½ΡΠΈΠ½ 18β29 Π»Π΅Ρ ΡΠΎΡΡΠ°Π²ΠΈΠ» 535,60/0000, ΠΌΡΠΆΡΠΈΠ½ ΡΠΎΠΉ ΠΆΠ΅ Π²ΠΎΠ·ΡΠ°ΡΡΠ½ΠΎΠΉ Π³ΡΡΠΏΠΏΡ β 233,00/0000.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΠ΅ΡΠΌΠΎΡΡΡ Π½Π° ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ Π±ΠΎΡΠΎΠ΄Π°Π²ΠΊΠ°ΠΌΠΈ, Π² Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠ΅ Π’Π°ΡΠ°ΡΡΡΠ°Π½ Π² ΡΠ΅Π»ΠΎΠΌ ΠΈ Π² ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΠΏΠΎΠ»ΠΎΠ²ΠΎΠ·ΡΠ°ΡΡΠ½ΡΡ
Π³ΡΡΠΏΠΏΠ°Ρ
ΡΠΎΡ
ΡΠ°Π½ΡΡΡΡΡ Π²ΡΡΠΎΠΊΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ ΡΡΠ΅Π΄ΠΈ Π»ΠΈΡ 18β29 Π»Π΅Ρ. ΠΠ°Π½Π½ΡΠ΅, ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΠΏΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ ΡΠ΅ΡΡΠΎΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ Π°Π½ΠΎΠ³Π΅Π½ΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ Π±ΠΎΡΠΎΠ΄Π°Π²ΠΊΠ°ΠΌΠΈ, ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ²ΡΡΡ ΠΎ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΠΈ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ ΠΏΠ»Π°Π½ΠΎΠ²ΠΎΠΉ Π²Π°ΠΊΡΠΈΠ½Π°ΡΠΈΠΈ ΠΏΡΠΎΡΠΈΠ² ΠΠΠ§-ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΈ (ΡΠ΅ΡΡΡΠ΅Ρ
Π²Π°Π»Π΅Π½ΡΠ½ΠΎΠΉ Π²Π°ΠΊΡΠΈΠ½ΠΎΠΉ), ΡΡΠΎ ΠΏΡΠ΅Π΄ΠΎΡΠ²ΡΠ°ΡΠΈΡ Π½Π΅ ΡΠΎΠ»ΡΠΊΠΎ Π±ΠΎΠ»ΡΡΠΈΠ΅ Π·Π°ΡΡΠ°ΡΡ Π½Π° Π»Π΅ΡΠ΅Π½ΠΈΠ΅, Π½ΠΎ ΠΈ ΠΎΠΊΠ°ΠΆΠ΅Ρ ΠΏΠΎΠ»ΠΎΠΆΠΈΡΠ΅Π»ΡΠ½ΠΎΠ΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π½Π° ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΎΠ±ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π·Π΄ΠΎΡΠΎΠ²ΡΡ
Non-invasive diagnostic tests for Helicobacter pylori infection
BACKGROUND: Helicobacter pylori (H pylori) infection has been implicated in a number of malignancies and non-malignant conditions including peptic ulcers, non-ulcer dyspepsia, recurrent peptic ulcer bleeding, unexplained iron deficiency anaemia, idiopathic thrombocytopaenia purpura, and colorectal adenomas. The confirmatory diagnosis of H pylori is by endoscopic biopsy, followed by histopathological examination using haemotoxylin and eosin (H & E) stain or special stains such as Giemsa stain and Warthin-Starry stain. Special stains are more accurate than H & E stain. There is significant uncertainty about the diagnostic accuracy of non-invasive tests for diagnosis of H pylori. OBJECTIVES: To compare the diagnostic accuracy of urea breath test, serology, and stool antigen test, used alone or in combination, for diagnosis of H pylori infection in symptomatic and asymptomatic people, so that eradication therapy for H pylori can be started. SEARCH METHODS: We searched MEDLINE, Embase, the Science Citation Index and the National Institute for Health Research Health Technology Assessment Database on 4 March 2016. We screened references in the included studies to identify additional studies. We also conducted citation searches of relevant studies, most recently on 4 December 2016. We did not restrict studies by language or publication status, or whether data were collected prospectively or retrospectively. SELECTION CRITERIA: We included diagnostic accuracy studies that evaluated at least one of the index tests (urea breath test using isotopes such as13C or14C, serology and stool antigen test) against the reference standard (histopathological examination using H & E stain, special stains or immunohistochemical stain) in people suspected of having H pylori infection. DATA COLLECTION AND ANALYSIS: Two review authors independently screened the references to identify relevant studies and independently extracted data. We assessed the methodological quality of studies using the QUADAS-2 tool. We performed meta-analysis by using the hierarchical summary receiver operating characteristic (HSROC) model to estimate and compare SROC curves. Where appropriate, we used bivariate or univariate logistic regression models to estimate summary sensitivities and specificities. MAIN RESULTS: We included 101 studies involving 11,003 participants, of which 5839 participants (53.1%) had H pylori infection. The prevalence of H pylori infection in the studies ranged from 15.2% to 94.7%, with a median prevalence of 53.7% (interquartile range 42.0% to 66.5%). Most of the studies (57%) included participants with dyspepsia and 53 studies excluded participants who recently had proton pump inhibitors or antibiotics.There was at least an unclear risk of bias or unclear applicability concern for each study.Of the 101 studies, 15 compared the accuracy of two index tests and two studies compared the accuracy of three index tests. Thirty-four studies (4242 participants) evaluated serology; 29 studies (2988 participants) evaluated stool antigen test; 34 studies (3139 participants) evaluated urea breath test-13C; 21 studies (1810 participants) evaluated urea breath test-14C; and two studies (127 participants) evaluated urea breath test but did not report the isotope used. The thresholds used to define test positivity and the staining techniques used for histopathological examination (reference standard) varied between studies. Due to sparse data for each threshold reported, it was not possible to identify the best threshold for each test.Using data from 99 studies in an indirect test comparison, there was statistical evidence of a difference in diagnostic accuracy between urea breath test-13C, urea breath test-14C, serology and stool antigen test (P = 0.024). The diagnostic odds ratios for urea breath test-13C, urea breath test-14C, serology, and stool antigen test were 153 (95% confidence interval (CI) 73.7 to 316), 105 (95% CI 74.0 to 150), 47.4 (95% CI 25.5 to 88.1) and 45.1 (95% CI 24.2 to 84.1). The sensitivity (95% CI) estimated at a fixed specificity of 0.90 (median from studies across the four tests), was 0.94 (95% CI 0.89 to 0.97) for urea breath test-13C, 0.92 (95% CI 0.89 to 0.94) for urea breath test-14C, 0.84 (95% CI 0.74 to 0.91) for serology, and 0.83 (95% CI 0.73 to 0.90) for stool antigen test. This implies that on average, given a specificity of 0.90 and prevalence of 53.7% (median specificity and prevalence in the studies), out of 1000 people tested for H pylori infection, there will be 46 false positives (people without H pylori infection who will be diagnosed as having H pylori infection). In this hypothetical cohort, urea breath test-13C, urea breath test-14C, serology, and stool antigen test will give 30 (95% CI 15 to 58), 42 (95% CI 30 to 58), 86 (95% CI 50 to 140), and 89 (95% CI 52 to 146) false negatives respectively (people with H pylori infection for whom the diagnosis of H pylori will be missed).Direct comparisons were based on few head-to-head studies. The ratios of diagnostic odds ratios (DORs) were 0.68 (95% CI 0.12 to 3.70; P = 0.56) for urea breath test-13C versus serology (seven studies), and 0.88 (95% CI 0.14 to 5.56; P = 0.84) for urea breath test-13C versus stool antigen test (seven studies). The 95% CIs of these estimates overlap with those of the ratios of DORs from the indirect comparison. Data were limited or unavailable for meta-analysis of other direct comparisons. AUTHORS' CONCLUSIONS: In people without a history of gastrectomy and those who have not recently had antibiotics or proton ,pump inhibitors, urea breath tests had high diagnostic accuracy while serology and stool antigen tests were less accurate for diagnosis of Helicobacter pylori infection.This is based on an indirect test comparison (with potential for bias due to confounding), as evidence from direct comparisons was limited or unavailable. The thresholds used for these tests were highly variable and we were unable to identify specific thresholds that might be useful in clinical practice.We need further comparative studies of high methodological quality to obtain more reliable evidence of relative accuracy between the tests. Such studies should be conducted prospectively in a representative spectrum of participants and clearly reported to ensure low risk of bias. Most importantly, studies should prespecify and clearly report thresholds used, and should avoid inappropriate exclusions
ACTIVITY MONITORING OF A NTIBODIES TO HIV-1 STRUCTURAL PROTEINS IN A BSENCE OF ANTIRETROVIRAL TREATMENT AND IN THE COURSE OF THERAPY
Abstract. In HIV-infected patients, the process of antibody production to certain HIV-I structural proteins proceeds in differential manner, depending on the antigen localization. Upon progression of the disease, an increased ratio of antibodies to env surface glycoproteins is found, along with decreased percentage of antibodies to gag gene proteins