Epidemiology of Multiple Myeloma in Novosibirsk (Siberian Federal District)

NV Skvortsova1, TI Pospelova1, IB Kovynev1, GS Soldatova2, IN Nechunaeva3

1 Novosibirsk State Medical University, 52 Krasnyi pr-t, Novosibirsk, Russian Federation, 630091

2 Novosibirsk National Research State University, 2 Pirogova str., Novosibirsk, Russian Federation, 630090

3 Municipal Clinical Hospital No. 2 of Novosibirsk Region, Center of Hematology, 21 Polzunov str., Novosibirsk, Russian Federation, 630051

For correspondence: Nataliya Valer’evna Skvortsova, MD, PhD, 52 Krasnyi pr-t, Novosibirsk, Russian Federation, 630091; Tel.: +7(905)955-59-91; e-mail: nata_sk78@mail.ru.

For citation: Skvortsova NV, Pospelova TI, Kovynev IB, et al. Epidemiology of Multiple Myeloma in Novosibirsk (Siberian Federal District). Clinical oncohematology. 2019;12(1):86–94.

DOI: 10.21320/2500-2139-2019-12-1-86-94


ABSTRACT

Aim. To analyze major epidemiological parameters of multiple myeloma, i.e. registered incidence, prevalence, mortality, and survival in Novosibirsk, megalopolis in Siberian Federal District.

Materials & Methods. The study covered medical records of 335 patients with newly diagnosed multiple myeloma (MM) treated from January 1, 2006 to December 31, 2016 at the Center of Hematology in Novosibirsk. Median age was 67 years (range 30–89), the trial enrolled 218 (65 %) women and 117 (35 %) men.

Results. Over the last decade the mean registered MM incidence in Novosibirsk increased by 1.6 times, and MM prevalence increased by 4.9 times. These parameters correspond to 2.4 and 13.8 per 100,000 population per year, respectively, with the linear trend of growth which demonstrates not only the increased number of patients with newly diagnosed MM, but the increased longevity of them. MM incidence and prevalence parameters are significantly higher in women than in men, which most probably can be accounted for by specific administrative factors in the Novosibirsk region. Yearly mortality of MM patients decreased from 28.3 % to 8.2 % with a negative linear trend over the entire analyzed period, which is most likely to be associated with availability of new drugs and transplantation procedures.

Conclusion. The obtained epidemiological data will enable to plan the provision of timely and effective care for MM patients and to elaborate a system of judicious allocation of costly equipment and drugs.

Keywords: multiple myeloma, epidemiology, registered incidence, prevalence, mortality, survival.

Received: September 24, 2018

Accepted: December 27, 2018

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Epidemiology of Chronic Myeloid Leukemia in the Republic of Bashkortostan

NR Ryabchikova, GSh Safuanova, VI Nikulicheva

Bashkir State Medical University, 3 Lenina str., Ufa, Russian Federation, 450008

For correspondence: Prof. Guzyal’ Shagbanovna Safuanova, MD, PhD, 3 Lenina str., Ufa, Russian Federation, 450008; Tel.: +7(927)639-03-73; e-mail: safuanova@bk.ru

For citation: Ryabchikova NR, Safuanova GSh, Nikulicheva VI. Epidemiology of Chronic Myeloid Leukemia in the Republic of Bashkortostan. Clinical oncohematology. 2018;11(4):349–53.

DOI: 10.21320/2500-2139-2018-11-4-349-353


ABSTRACT

Background. The planning of therapeutic, diagnostic, and preventive medical care for chronic myeloid leukemia (CML) patients implies the need of not only maintaining patient registries, but also conducting epidemiologic studies in each geographical area.

Aim. To study and analyze CML epidemiological indicators over the last 15 years in the Republic of Bashkortostan for the purposes of evaluation and rational planning of specialized medical care for CML patient population.

Materials & Methods. The incidence, prevalence, and mortality of CML patients of all age groups in the period of 2000–2016 was analyzed in the Republic of Bashkortostan.

Results. The analysis of epidemiological indicators over the period of 2000–2016 showed that the incidence of the disease in the Republic of Bashkortostan was increasing. Within the last 8 years the prevalence rate even quadrupled which is clearly connected with improved detectability of Ph-chromosome and/or BCR-ABL gene, creation and maintenance of CML patient registry since 2008, introduction of treatment using tyrosine kinase inhibitors resulting also in increase in life expectancy. Mortality rates are reported to have a tendency of decrease over the period under study.

Conclusion. Key epidemiological indicators of CML in the Republic of Bashkortostan are comparable with the data of international and Russian researchers. The results obtained can be used for comparative studies and improvement of specialized medical care for CML patients.

Keywords: chronic myeloid leukemia, epidemiology, incidence, prevalence, mortality.

Received: April 9, 2018

Accepted: August 3, 2018

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Concept, Principles, and Objectives of Population Hematology

SM Kulikov, TTs Garmaeva, MA Rusinov, EN Parovichnikova

Hematology Research Center under the Ministry of Health of the Russian Federation, 4а Novyi Zykovskii pr-d, Moscow, Russian Federation, 125167

For correspondence: Sergei Mikhailovich Kulikov, PhD, 4а Novyi Zykovskii pr-d, Moscow, Russian Federation, 125167; e-mail: kulikov.s@blood.ru

For citation: Kulikov SM, Garmaeva TTs, Rusinov MA, Parovichnikova EN. Concept, Principles, and Objectives of Population Hematology. Clinical oncohematology. 2017;10(2):250–7(In Russ).

DOI: 10.21320/2500-2139-2017-10-2-250-257


ABSTRACT

The article provides grounds for a new, expanded definition of a concept «population hematology». It is not only a hematological subsection of the traditional population and epidemiological medicine. It is focused on patients populations as its primary object; however, its uniqueness is in the fact that its primary object is the nested population hierarchy, such as blood cells, cell clones and human groups. The heterogeneity of the samples and changes in the heterogeneity with the course of time are most important. Taking into account the time factor, staging, and long-term observation are unique characteristics of the population hematology methodology. Mechanism of population formation, leaving, and changes in its composition significantly affect the analysis of clinical and population study findings. The peculiarity of this field of medical knowledge is interaction, overlapping of target populations. Donor-recipient, patient-doctor, blood cells-body, virus-carrier-host, blood component-sample, donor-recipient sample, etc. — these are only some of alive and lifeless study objects which may undergo a thorough study. Despite the complexity and various natures of hematological populations, they have common characteristics. Therefore, a common methodology and tools for study designing, collection of experimental data, modeling, and analysis can be developed.

Keywords: population hematology, epidemiology, populations, cohorts, heterogeneity, biostatistics, evidence-based medicine, clinical trials.

Received: November 8, 2016

Accepted: January 25, 2017

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