22 research outputs found

    Specific Cerebrovascular Risk Factors, Colon Microbiocenosis and its Correction in Patients Receiving Long-Term Programmed Hemodialysis

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    Introduction: The problem of acute and chronic cerebrovascular disorders in dialysis patients remains the most urgent. Risk factors for cerebrovascular diseases in CKD and dialysis patients can be conditionally divided into β€œtraditional” (arterial hypertension, diabetes mellitus, hypercholesterolemia) and β€œspecific” (associated with renal pathology and dialysis procedures). The spectrum of specific factors of cerebrovascular risk in patients with dialysis stage of the CKD includes specific dialysis factors that form during programmed HD, as well as impaired phosphorus-calcium metabolism and calcification of the arterial microvasculature, increased blood levels of Ξ²2-microglobulin, homocysteine, malondialdehyde and superoxide dismutase, a decrease in the level of nitric oxide (II) metabolites, development of nephrogenic anemia and dysfunction of blood cells, malnutrition and dietary features of patients with renal pathology, accumulation of uremic toxins and toxins of intestinal bacteria, etc. Opportunistic gut microorganisms can produce uremic toxins, which are associated with an increased risk of inflammation, increased oxidative stress, and a higher risk of cardiovascular disease (CVD). Description of the spectrum of risk factors for cerebrovascular pathology in dialysis patients and effective control over them seems to be an effective strategy aimed at increasing the duration and quality of life in patients receiving renal replacement therapy. The aim of the investigation was to study the species composition of colon microbiocenosis in patients with CKD receiving programmed HD treatment and to evaluate the effectiveness of its correction using a new immobilized synbiotic. Materials and methods: Samples of colon microbiota from 62 patients undergoing programmed hemodialysis were studied before and after a course of diet therapy that included probiotic components, in particular, the immobilized synbiotic LB-complex L. Isolation of microorganisms was carried out according to our original method; for bacteria identification, a MALDI-TOF Autoflex speed mass spectrometer (Bruker Daltonik, Germany) was used in the Biotyper program mode. The results were assessed using the criteria proposed by the authors and based on the OST 91500.11.0004-2003. The efficacy of the immobilized synbiotic was determined based on the clinical data, questionnaires, and bacteriological tests. Results: In patients receiving programmed hemodialysis (before the start of the diet therapy), chronic moderate inflammation and azotemia were found. Dysbiotic changes in microbiocenosis were revealed in all the examined patients; in the absence or suppression of lacto- and bifidoflora, the number and diversity of Bacteroides spp., Clostridium spp., Collinsella spp., Eggerthella spp. and other bacteria increased, which was consistent with the theory of functional redundancy of gut microbiota. From the answers to the questionnaires, a decrease in the quality of life was found (up to 70 points out of 100) according to six of the eight scales used. After the combined therapy using the synbiotic LB-complex L in the study group, 56% of the examined patients showed their microbiocenosis restored to normal; no grade III dysbiosis was detected in any patient. There was a significant decrease in CRP and ESR in these patients and an improvement in the quality of life by criteria reflecting physical health. Conclusion: Acute/chronic CVD in patients with CKD of the pre-dialysis and dialysis periods are the most frequent and formidable complications. The spectrum of β€œtraditional” and β€œspecific” CV risk factors in dialysis patients will be described in the chapter. Special attention will be paid to the intestinal microbiota and opportunistic intestinal microorganisms. The aim was to study the species composition of colon microbiocenosis in HD patients, and to evaluate the effectiveness of its correction using a new immobilized synbiotic. Materials and Methods. Samples of colon microbiota from 62 HD patients were studied before/after a course of diet therapy that included probiotic components, the immobilized synbiotic LB-complex L. MALDI-TOF Autoflex speed mass spectrometer was used in the Biotyper program mode. The efficacy of the immobilized synbiotic was determined based on the clinical data, questionnaires, and bacteriological tests. Results. Dysbiotic changes in microbiocenosis were revealed in all patients; in the absence/suppression of lacto-and bifidoflora, the number and diversity of Bacteroides spp.,Clostridium spp.,Collinsella spp.,Eggerthella spp. and other bacteria increased. After the combined therapy using the synbiotic LB-complex L in the study group, 56% of the examined patients showed their microbiocenosis restored to normal; no grade III dysbiosis was detected in any patient

    ΠšΠ°Ρ‡Π΅ΡΡ‚Π²ΠΎ ΠΆΠΈΠ·Π½ΠΈ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π½Π° ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎΠΌ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ°Π»ΠΈΠ·Π΅

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    The outcome of chronic kidney disease (CKD) is frequently development of end-stage kidney failure that requires program hemodialysis (PHD). Increase of the longevity of long-term PHD patients is associated with continuous somatic and psychic stress for the patient, which might adversely affect the quality of life (QoL) of an end-stage CKD patient.Purpose:Β to determine the influence of age and dialysis duration on the QoL of end-stage CKD patients receiving PHD.Materials and methods.Β 50 patients receiving PHD (23 men and 27 women), aged 31 to 79 years, were examined. The mean age was 56.72Β±11.26 years. The PHD duration ranged between 1 month to 20 years, the average figure being 5.26Β±4.82 years. The control group included 50 healthy subjects of comparable gender and age. The QoL evaluation data were gathered through survey using the Russian version of SF-36 Questionnaire (Short Form Medical Outcomes Study), validated by the Institute of Clinical and Pharmacological Studies (Saint Petersburg) and analysis of case records.Results.Β As regards the scales of physical health, a decrease of the QoL of PHD patients was found as follows: Π F-physical functioning (54.1Β±25.6 vs. 85.0Β±21.4), RP-role functioning related to physical condition (38.5Β±35.4 vs. 74.5Β±29.7), Pbodily pain (64.7Β±32.1 vs. 70.5Β±24.8), GH-general health condition (51.3Β±15.9 vs. 65.1Β±21.7). A trend towards inter-group difference was also discovered as regards the scales of vitality (VT) (53.7Β±19.5 vs. 61.0Β±19.4), social functioning (SF) (72.5Β±18.0 vs. 79.5Β±23.5). Multiple regression analysis established inverse relationship between the patient’s physical health component (PH) and age (rs=-0.317,Β P<0.05).Conclusion.Β In PHD patients, the physical health component is the one that suffers most of all, namely: physical functioning, role functioning related to physical condition, pain intensity, and general health condition. The tendency to statistic differences is observed for the scales of vitality and social functioning of the mental health component. Increase of the age and dialysis duration affect adversely the physical health whereas render no influence on the mental health.Π—Π°Ρ‡Π°ΡΡ‚ΡƒΡŽ исходом Π₯Π‘ΠŸ являСтся Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Ρ‚Π΅Ρ€ΠΌΠΈΠ½Π°Π»ΡŒΠ½ΠΎΠΉ ΠΏΠΎΡ‡Π΅Ρ‡Π½ΠΎΠΉ нСдостаточности, Ρ‚Ρ€Π΅Π±ΡƒΡŽΡ‰Π΅ΠΉ провСдСния ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ½ΠΎΠ³ΠΎ Π³Π΅ΠΌΠΎΠ΄ΠΈΠ°Π»ΠΈΠ·Π° (ΠŸΠ“). Π£Π²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ ΠΏΡ€ΠΎΠ΄ΠΎΠ»ΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ ΠΆΠΈΠ·Π½ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², находящихся Π½Π° Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΌ Π»Π΅Ρ‡Π΅Π½ΠΈΠΈ ΠŸΠ“, сопряТСно с постоянными соматичСскими ΠΈ психичСскими Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠ°ΠΌΠΈ для ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°, Ρ‡Ρ‚ΠΎ ΠΌΠΎΠΆΠ΅Ρ‚ Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½ΠΎ Π²Π»ΠΈΡΡ‚ΡŒ Π½Π° качСство ΠΆΠΈΠ·Π½ΠΈ (ΠšΠ–) больного Ρ‚Π΅Ρ€ΠΌΠΈΠ½Π°Π»ΡŒΠ½ΠΎΠΉ стадиСй Π₯Π‘ΠŸ.ЦСль исслСдования:Β ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ влияния возраста ΠΈ стаТа Π΄ΠΈΠ°Π»ΠΈΠ·Π° Π½Π° ΠšΠ– Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Ρ‚Π΅Ρ€ΠΌΠΈΠ½Π°Π»ΡŒΠ½ΠΎΠΉ Π₯Π‘ΠŸ, находящихся Π½Π° Π»Π΅Ρ‡Π΅Π½ΠΈΠΈ ΠŸΠ“.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ОбслСдовали 50 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², ΠΏΠΎΠ»ΡƒΡ‡Π°ΡŽΡ‰ΠΈΡ… Π»Π΅Ρ‡Π΅Π½ΠΈΠ΅ ΠŸΠ“ (23 ΠΌΡƒΠΆΡ‡ΠΈΠ½ ΠΈ 27 ΠΆΠ΅Π½Ρ‰ΠΈΠ½), Π² возрастС ΠΎΡ‚ 31 Π΄ΠΎ 79 Π»Π΅Ρ‚. Π‘Ρ€Π΅Π΄Π½ΠΈΠΉ возраст составил 56,72Β±11,26 Π»Π΅Ρ‚. Π”Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ лСчСния ΠŸΠ“ колСбалась Π² ΠΏΡ€Π΅Π΄Π΅Π»Π°Ρ… ΠΎΡ‚ 1 мСсяца Π΄ΠΎ 20 Π»Π΅Ρ‚, Ρ‡Ρ‚ΠΎ Π² срСднСм составило 5,26Β±4,82 Π»Π΅Ρ‚. Π’ Π³Ρ€ΡƒΠΏΠΏΡƒ контроля Π²ΠΊΠ»ΡŽΡ‡ΠΈΠ»ΠΈ 50 Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹Ρ… людСй, сопоставимых ΠΏΠΎ ΠΏΠΎΠ»Ρƒ ΠΈ возрасту. Π‘Π±ΠΎΡ€ Π΄Π°Π½Π½Ρ‹Ρ… ΠΏΠΎ ΠΎΡ†Π΅Π½ΠΊΠ΅ ΠšΠ– осущСствляли ΠΏΡƒΡ‚Π΅ΠΌ анкСтирования ΠΏΠΎ русскоязычной вСрсии опросника SF-36 (Short Form Medical Outcomes Study), Π²Π°Π»ΠΈΠ΄ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ Β«Π˜Π½ΡΡ‚ΠΈΡ‚ΡƒΡ‚ΠΎΠΌ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-фармакологичСских исслСдований» (Π‘Π°Π½ΠΊΡ‚-ΠŸΠ΅Ρ‚Π΅Ρ€Π±ΡƒΡ€Π³) ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° историй Π±ΠΎΠ»Π΅Π·Π½ΠΈ.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹.Β Π’ сфСрС физичСского Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ выявили сниТСниС ΠšΠ– ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², находящихся Π½Π° ΠŸΠ“, ΠΏΠΎ ΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠΌ шкалам: Π F-физичСского функционирования (54,1Β±25,6 ΠΏΡ€ΠΎΡ‚ΠΈΠ² 85,0Β±21,4), RP-Ρ€ΠΎΠ»Π΅Π²ΠΎΠ³ΠΎ функционирования, обусловлСнноС физичСским состояниСм (38,5Β±35,4 ΠΏΡ€ΠΎΡ‚ΠΈΠ² 74,5Β±29,7), P-интСнсивности Π±ΠΎΠ»ΠΈ (64,7Β±32,1 ΠΏΡ€ΠΎΡ‚ΠΈΠ² 70,5Β±24,8), GH-ΠΎΠ±Ρ‰Π΅Π³ΠΎ состояниС Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ (51,3Β±15,9 ΠΏΡ€ΠΎΡ‚ΠΈΠ² 65,1Β±21,7). Π’Π΅Π½Π΄Π΅Π½Ρ†ΠΈΡŽ ΠΊ ΠΌΠ΅ΠΆΠ³Ρ€ΡƒΠΏΠΏΠΎΠ²Ρ‹ΠΌ различиям Ρ‚Π°ΠΊΠΆΠ΅ ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠΈΠ»ΠΈ ΠΏΠΎ шкалам ΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎΠΉ активности (VT) (53,7Β±19,5 ΠΏΡ€ΠΎΡ‚ΠΈΠ² 61,0Β±19,4), ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ функционирования (SF) (72,5Β±18,0 ΠΏΡ€ΠΎΡ‚ΠΈΠ² 79,5Β±23,5). По Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ мноТСствСнного рСгрСссионного Π°Π½Π°Π»ΠΈΠ·Π° выявили ΠΎΠ±Ρ€Π°Ρ‚Π½ΡƒΡŽ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡ‚ΡŒ ΠΌΠ΅ΠΆΠ΄Ρƒ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΌ физичСского ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Π° Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ (PH) ΠΈ возрастом ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² (rs=-0,317,Β p<0,05).Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅.Β Π£ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ…, находящихся Π½Π° ΠŸΠ“, Π² наибольшСй стСпСни страдаСт физичСский ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ, Π° ΠΈΠΌΠ΅Π½Π½ΠΎ: физичСскоС Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅, ролСвая Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ, обусловлСнная физичСским состояниСм, ΠΈΠ½Ρ‚Π΅Π½ΡΠΈΠ²Π½ΠΎΡΡ‚ΡŒ Π±ΠΎΠ»ΠΈ ΠΈ ΠΎΠ±Ρ‰Π΅Π΅ состояниС Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ. ВСндСнция ΠΊ статистичСским различиям отмСчаСтся ΠΏΠΎ шкалам ΠΆΠΈΠ·Π½Π΅Π½Π½ΠΎΠΉ активности ΠΈ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ функционирования психологичСского ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Π° Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ. Π£Π²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ возраста ΠΈ стаТа Π΄ΠΈΠ°Π»ΠΈΠ·Π° ΠΎΡ‚Ρ€ΠΈΡ†Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ Π²Π»ΠΈΡΡŽΡ‚ Π½Π° физичСский ΠΈ Π½Π΅ Π²Π»ΠΈΡΡŽΡ‚ Π½Π° психологичСский ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Ρ‹ Π·Π΄ΠΎΡ€ΠΎΠ²ΡŒΡ

    ΠžΡΡ‚Ρ€Ρ‹Π΅ ΠΈ хроничСскиС Π΄ΠΈΠ·ΠΈΠΌΠΌΡƒΠ½Π½Ρ‹Π΅ ΠΏΠΎΠ»ΠΈΠ½Π΅Π²Ρ€ΠΎΠΏΠ°Ρ‚ΠΈΠΈ Π² условиях ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ COVID-19: ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π΅Π·, особСнности клиничСской ΠΊΠ°Ρ€Ρ‚ΠΈΠ½Ρ‹, диагностики ΠΈ Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ (ΠΎΠ±Π·ΠΎΡ€ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Ρ‹)

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    Dysimmune polyneuropathies are the etiologically heterogeneous group of diseases with autoimmune damage to the peripheral nervous system. The rarity of these diseases doesn’t exclude the possibility of their development or exacerbation in patients infected with SARS‑CoV‑2, which will require timely differential diagnosis and urgent specific therapy. The article summarizes current information on the mechanisms of development, clinical features, diagnosis and management of acute and chronic dysimmune polyneuropathies in the context of the COVID‑19 pandemic.Π”ΠΈΠ·ΠΈΠΌΠΌΡƒΠ½Π½Ρ‹Π΅ ΠΏΠΎΠ»ΠΈΠ½Π΅Π²Ρ€ΠΎΠΏΠ°Ρ‚ΠΈΠΈ ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²Π»ΡΡŽΡ‚ собой этиологичСски Π³Π΅Ρ‚Π΅Ρ€ΠΎΠ³Π΅Π½Π½ΡƒΡŽ Π³Ρ€ΡƒΠΏΠΏΡƒ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ с Π°ΡƒΡ‚ΠΎΠΈΠΌΠΌΡƒΠ½Π½Ρ‹ΠΌ ΠΏΠΎΡ€Π°ΠΆΠ΅Π½ΠΈΠ΅ΠΌ пСрифСричСской Π½Π΅Ρ€Π²Π½ΠΎΠΉ систСмы. Π Π΅Π΄ΠΊΠΎΡΡ‚ΡŒ Π΄Π°Π½Π½Ρ‹Ρ… Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ Π½Π΅ ΠΈΡΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ возмоТности ΠΈΡ… развития ΠΈΠ»ΠΈ обострСния Ρƒ ΠΈΠ½Ρ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… SARS‑CoV‑2 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², Ρ‡Ρ‚ΠΎ, Π² свою ΠΎΡ‡Π΅Ρ€Π΅Π΄ΡŒ, ΠΏΠΎΡ‚Ρ€Π΅Π±ΡƒΠ΅Ρ‚ провСдСния своСврСмСнной Π΄ΠΈΡ„Ρ„Π΅Ρ€Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ диагностики ΠΈ Π½Π΅ΠΎΡ‚Π»ΠΎΠΆΠ½ΠΎΠΉ интСнсивной ΠΈ спСцифичСской Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ. Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ ΠΎΠ±ΠΎΠ±Ρ‰Π΅Π½Ρ‹ Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹Π΅ Π½Π° Π΄Π°Π½Π½Ρ‹ΠΉ ΠΌΠΎΠΌΠ΅Π½Ρ‚ свСдСния, ΠΊΠ°ΡΠ°ΡŽΡ‰ΠΈΠ΅ΡΡ ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌΠΎΠ² развития, особСнностСй клиничСской ΠΊΠ°Ρ€Ρ‚ΠΈΠ½Ρ‹, диагностики ΠΈ Ρ‚Π°ΠΊΡ‚ΠΈΠΊΠΈ вСдСния острых ΠΈ хроничСских Π΄ΠΈΠ·ΠΈΠΌΠΌΡƒΠ½Π½Ρ‹Ρ… ΠΏΠΎΠ»ΠΈΠ½Π΅Π²Ρ€ΠΎΠΏΠ°Ρ‚ΠΈΠΉ Π² условиях ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠΈ COVID‑19

    Specific risk factors for cerebrovascular disorders in patients with chronic kidney disease in the pre-dialysis period

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    Cerebral vascular disorders are one of the leading causes of disability and mortality in patients with chronic kidney disease (CKD). The article presents the currently available data on risk factors (RF) for the development of cerebrovascular disorders in pre-dialysis patients with CKD. Two groups of RF are identified: traditional and non-traditional (specific). Traditional RF, which include arterial hypertension, diabetes mellitus and hypercholesterolemia, independently affect the cerebral vascular bed and get worse against the background of CKD. Specific RF is associated with features of the CKD pathogenesis. It includes increased blood levels of homocysteine, Ξ²2-microglobulin, impaired calcium-phosphorus metabolism, accumulation of uremic toxins and toxins of intestinal bacteria, anemia and other factors. In the present review, special attention is paid to specific RF and pathogenetic mechanisms of the development of cerebrovascular disorders in predialysis patients with CKD. Timely detection of cerebral risk factors may lead to the improvement of early diagnosis and prevention of cerebral vascular disorders, optimization of therapy for patients with CKD

    Quality of Life of Long-Term Hemodialysis Patients

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    The outcome of chronic kidney disease (CKD) is frequently development of end-stage kidney failure that requires program hemodialysis (PHD). Increase of the longevity of long-term PHD patients is associated with continuous somatic and psychic stress for the patient, which might adversely affect the quality of life (QoL) of an end-stage CKD patient.Purpose:Β to determine the influence of age and dialysis duration on the QoL of end-stage CKD patients receiving PHD.Materials and methods.Β 50 patients receiving PHD (23 men and 27 women), aged 31 to 79 years, were examined. The mean age was 56.72Β±11.26 years. The PHD duration ranged between 1 month to 20 years, the average figure being 5.26Β±4.82 years. The control group included 50 healthy subjects of comparable gender and age. The QoL evaluation data were gathered through survey using the Russian version of SF-36 Questionnaire (Short Form Medical Outcomes Study), validated by the Institute of Clinical and Pharmacological Studies (Saint Petersburg) and analysis of case records.Results.Β As regards the scales of physical health, a decrease of the QoL of PHD patients was found as follows: Π F-physical functioning (54.1Β±25.6 vs. 85.0Β±21.4), RP-role functioning related to physical condition (38.5Β±35.4 vs. 74.5Β±29.7), Pbodily pain (64.7Β±32.1 vs. 70.5Β±24.8), GH-general health condition (51.3Β±15.9 vs. 65.1Β±21.7). A trend towards inter-group difference was also discovered as regards the scales of vitality (VT) (53.7Β±19.5 vs. 61.0Β±19.4), social functioning (SF) (72.5Β±18.0 vs. 79.5Β±23.5). Multiple regression analysis established inverse relationship between the patient’s physical health component (PH) and age (rs=-0.317,Β P<0.05).Conclusion.Β In PHD patients, the physical health component is the one that suffers most of all, namely: physical functioning, role functioning related to physical condition, pain intensity, and general health condition. The tendency to statistic differences is observed for the scales of vitality and social functioning of the mental health component. Increase of the age and dialysis duration affect adversely the physical health whereas render no influence on the mental health

    Cognitive Status and Risk Factors for Cognitive Impairment in Dialysis Patients

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    The number of dialysis patients is increasing every year and is estimated to be more than 2 million, with an annual increase of 6–12% in dialysis programs. There is a high correlation between cognitive impairment and mortality in dialysis patients, which suggests the relevance of screening cognitive functions in dialysis patients using different neuropsychological scales.Aim of the study was to test the cognitive status and identify cognitive impairment in patients with terminal stage of chronic kidney disease treated using program hemodialysis, as well as to evaluate risk factors for cognitive impairment in this category of patients.Material and methods. 83 patients aged 28 to 78 years (mean age 56.7Β±13.7 years) were examined. The main group included 53 people who received program hemodialysis, of them 23 men and 30 women. The mean age of patients in this group was 58.3Β±13.3 years. The control group composed of 30 individuals without kidney diseases, including 13 men and 17 women. The mean age in the control group was 53.6Β±14.9 years. The MoCA and SLUMS scales were chosen for detecting cognitive impairment and assessment of neuropsychological status. We used mathematical methods of research data processing such as inductive statistics and correlation analysis.Results. Cognitive impairment was found to be significantly more frequent in dialysis patients (75.5–81.1% of cases, P=0.05) compared to those without kidney pathology. The SLUMS scale was shown to be more sensitive than MoCA (P=0.05, CI 95.0%). The risk factors of cognitive impairment in dialysis patients included increased dialysis duration, age (rs=–0.298) and low estimated urea dialysis adequacy index (Kt/V less than 1.2).Conclusion. A high risk of cognitive impairment is common in dialysis patients. For its timely detection, Β the screening neuropsychological test are recommended to be used by clinicians. Cognitive impairment, diagnosed by the tests, is an indication for a specialist consultation
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