• No results found

3.2 Part B: Proposed Methods

3.2.3 Method III

CHAPTER SIX

Albuminuria may be a marker of widespread vascular abnormalities including those of the glomerular capillary wall. This is an early evidence of nephropathy which can be tested for in our laboratory. Also, albuminuria can be used as a mass screening test at the community level, this had been done else where57. Renal dysfunction may enhance intermediate risk factors such as hypertension, hyperhomocysteinemia, and abnormalities of thrombogenic factors. This study58 had shown that proteinuria is not only a risk factor for cardiovascular disease but also a strong indicator of progression to end stage renal disease in the general population, the blood pressure difference between the subjects and the controls was not significant but there was a significant difference in their GFR. The presence of proteinuria generally indicates the existence of established renal parenchymal damage29.

In this study, the rise in blood pressure, associated with the development of microalbuminuria was not evaluated, because, the patients recruited were people with overt albuminuria. Also it had been reported that microalbuminuria is associated with a failure of nocturnal dipping in blood pressure, insulin resistance and abnormal vascular response to various stimuli64.

There was positive correlation between the Body mass index (BMI), proteinuria, and the GFR.

Perry and colleagues 65 reported no association between baseline BMI and future risk of ESRD.

Iseki25 and colleagues found that baseline BMI predicted future risk for ESRD in men but not in women. Ramirez and colleagues,66 noted that among a sample of participants from Singapore, the relationship between GFR, proteinuria and BMI was J-shaped, because those with a BMI of 18kg/m² or less and those with BMI 25kg/m² were more likely to have proteinuria than those with a BMI of 18.01 to 22.99kg/m2. That was a cross-sectional study in which preceding illness may lead to both proteinuria and malnutrition66. In the present study, the bulk of the patients were overweight, and the numbers that were obese was small, however

there was significant correlation between the BMI and the albumin-creatinine ratio. This finding is congruent with the submission that low birth weight is associated with many non communicable diseases; diabetes mellitus, kidney disease etc. This fact also supports the notion that obesity is also a risk factor for chronic kidney disease, and its associated increase morbidity and mortality rate.

There was a negative correlation between the BMI and the GFR, among the subjects studied.

This finding has been corroborated by earlier observers who had documented that obesity leads to renal hyperperfusion which in turn causes proteinuria and focal segmental glomerulosclerosis .47 Some investigators had suggested that leptin produced from adipose tissue may directly lead to renal fibrosis and reduction in GFR 49. The exact mechanism(s) by which excessive weight leads to kidney disease are still been investigated. 46, 47

There was correlation between the left renal length and the GFR in both the subjects and the controls but in the case of the right renal length, there was no association in the controls but that of the subjects was still sustained. This obvious discrepancy may be as a result of human error in the measurement or the placement of the probe. This is one of the limitations in the use of ultrasound in the measurement of renal dimensions, however, this findings is in keeping with Emanian et al, who found correlation between renal length and creatinine clearance in 665 adult volunteers52. This association was greater for the kidney length than for the kidney volume. Although there was significant correlation between renal length and GFR, the usefulness, in clinical practice, of renal length in estimating GFR remains a problem due to a low sensitivity in detecting renal impairment. None of the control had a renal length below 9cm. This may suggest that kidney length <9 centimeter correlates well with albuminuria and

so, may be suggestive of renal impairment. In clinical practice, the usefulness of this is limited by the wide variation and low sensitivity of kidney length in predicting GFR as stated earlier.

Both GFR and proteinuria are independent risk factors for adverse cardiovascular outcome.

Reduced GFR was associated with high prevalence of cardiovascular disease. Several studies across a broad spectrum of populations, such as the HOPE study72, the Cardiovascular Health study (CHS) 73, Hypertension Optimal Treatment study71 et al have shown that levels of systolic blood pressure, total cholesterol and low HDL, are greater in subjects with diabetes, left ventricular hypertrophy, ischeamic heart disease and heart failure. These entire adverse outcomes are also prevalent in patient with decreased GFR. This is true in the elderly patients in whom even mild reduction of kidney function is associated with worse outcomes.57 This had also been demonstrated in studies of hypertensive subjects.69

There was significant number of the controls (44.2%) with grade I echogenicity, and this group of patients had no albuminuria. It could be that grade I echogenicity is not sensitive for screening for albuminuria. However, none of the controls had grade II renal parenchymal echogenicity which is likely more suggestive of nephropathy. Therefore, it is not surprising that there was no correlation between renal parenchymal Echogenicity and the severity of hypertension for both the subjects and the controls.68This findings could also mean that some controls had renal disease without proteinuria. They may infarct have microalbuminuria which was not tested for in this study.

The analysis of variance showed that, there was a significant association between the mean renal parenchymal echogenicities and the GFR in both the subjects and the controls. This finding of correlation between the renal echogenicity and the GFR was not surprising, because,

‘increase in cortical echoes have been described in cases of diabetes mellitus

glomerulosclerosis, and in glomerulonephritis70. The normal medullary pyramid is relatively echo poor as compared with the cortex, and it becomes more prominent in advance glomerulosclerosis69. The increase in echogenicity had been well documented as an evidence of renal parenchymal disease70.

Early detection and treatment of chronic kidney disease may reduce the social burden of cardiovascular disease. It is also important to appreciate the association between the investigations done in this regard. The association between the kidney function and the renal ultrasound findings will be an important step in this regard.

CONCLUSION

The following conclusions could be reached from this study:

1. The ANOVA between the GFR and the renal echogenicities in both the subjects and the controls is significant. The renal echogenicity could be used to predict the GFR in both the hypertensives with albuminuria and the controls, it then follows that increase renal echogenicity is predictive evidence of nephropathy.

2. There was positive correlation between the renal length and the GFR in both groups.

The renal length may be used to predict the level of renal impairment, as none of the controls had renal length less than 9cm.

3. There was negative correlation between the BMI and the GFR of the subjects but not that of the controls, despite the fact that there was no significant difference in their BMI. This shows that the proteinuria in the subjects contributed significantly to their adverse outcome.

4. There was no correlation between the degree of hypertension and renal

echogenicity. The severity of the blood pressure could not be predicted from the renal echogenicity. And also, the renal length has no association with the degree of blood pressure level.

5. There was no correlation between albumin-creatinine ratio and the GFR,echogenicity, and the degree of SBP and DBP in both the subjects and the controls.

LIMITATIONS:

1. The study was hospital based, and single centred for the recruitment of the respondents, therefore selection bias can not be completely ruled out. This is because the participants recruited were all patients attending University College Hospital, Ibadan, and as such may not be representative of the general population.

2. The non probability sampling technique was employed for this study and the degree to which the sample differs from the population remains unknown.

3. The degree of albuminuria in hypertensive patient could not be comprehensively ascertained because the bulk of the people with microalbuminuria were not screened for in these subjects.

4. The rate of urinary albumin excretion varies by as much as 40% in a day, and there is an interindividual and intraindividual variation. The appropriate method will have been an average urinary albumin excretion. In this study, the sample for albumin-creatinine ratio was not repeated for logistics reasons.

IMPLICATIONS AND RECOMMENDATIONS

The study shows that there was no correlation between renal ultrasound findings and the severity of blood pressure reading. In this study there was correlation between the renal length and the GFR in both the subjects and the controls. There was also correlation between the renal echogenicity and the GFR in both the subjects and the controls.

The preponderance of overweight patients in this study and the correlation of this with reduced GFR in the subjects but not in the controls, suggests that attention should be focused on life style modification in hypertensive patients with or without proteinuria. Overweight is a strong and potentially modifiable risk factor for the development of ESRD. Conversely kidney failure should be added to the list of adverse consequence of obesity, given the rapidly increasing incidence of obesity and ESRD.

The correlation between the albumin-creatinine ratio and renal echogenicity suggest that increase in echogenicity is an evidence of renal parenchymal disease, but there were no correlation between the renal length and protein excretion.

The screening of the patient’s urine for albuminuria should be extended to include the search for microalbuminuria.

This study been hospital based and a small sample size has a limitation in terms of the strength of the study, nevertheless, it constitutes a background for analytical study to test some of the hypothesis generated.

REFERENCES

1

Aram V, George L.B, Henry R.B et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood

Pressure. JAMA.2003; 289: 2534 - 2573

2. Beevers G, Lip G. and O’Brien E. The pathology of hypertension. BMJ 2001; 322: 912 – 916.

3. Guidelines Subcommittee. 1999 World Health Organisation – International Society of Hypertension Guidelines for management of Hypertension. J Hypertens. 1999; 17:151 – 183.

4.

Flack J.M, Neaton J, Grimm R. Jr, et al. For the multiple risk factor intervention trial research group. Blood pressure and mortality among men with prior myocardial infarction. Circulation 1995; 92: 2437-2445.

5.

Kadiri S. Olutade B.O. Short term course of renal function in accelerated hypertension.

Afr J Med med sci 1993: 22: 15 – 29.

6.

Pillary V.K.H, Schwartz F.B, Kark R.M. Proteniuria in malignant hypertension. Lancet 1968; 2: 1263 – 1264

7.

Pederson E.B, Jorgensen C.E. Effect of antihypertensive treatment on urinary albumin excretion, GFR, renal plasma flow in patients with essential hypertension. Scand J Clint Lab Invest 1976; 36:231-237.

8.

Cramer K.C, Rapidly reversible albumin and B2-microglobulin hyper-excretion in recent severe essential hypertension. J Hypertens 1983; 1:45-51.

9.

Kadiri S, Walker O, Salako B.L and Akinkugbe O. Blood pressure, hypertension and correlates in urbanized workers in Ibadan, Nigeria: a revisit. J Human Hypertens. 1999;

13: 23-27.

10.

Johnson T.O. Arterial blood pressure and hypertension in urban African population sample. Br J. Prev. Soc. Med. 1971; 25:26-33.

11.

Oviasu V.O, Okupa F.E. Occupational factors in hypertension in the Nigerian African.

Trop Geog Med. 1980; 32:241-244.

12.

Bunker CH, Ukoli F.A, Nwankwo M.U, Omene J.A et al. Factors associated with hypertension in Nigeria civil servants. Prev Med 1992; 21:710-722.

13.

National expert committee on non-communicable diseases. Non-communicable diseases in Nigeria. Final report of a national survey. Fed. Min of Health and Social Services. Lagos 1997.

14.

Reddy K.S and Yusuf S. The emerging epidemic of cardiovascular diseases in developing countries. Circulation 1998; 97:596-601.

15.

Osuntokun B.O, Bademosi O, Akinkugbe O. Incidence of stroke in African city: results from the stroke registry at Ibadan. Stroke. 1979; 10:205-207.

16.

Control of hypertension in developing countries with special reference to Africa:

procedings of a conference of the world hypertension league Dakar 1986. Tropical Cardiology; 1987; 13:27-119.

17.

Famuyiwa O.O. Problems and challenges and the practice of endocrinology in developing countries type II, Diabetes mellitus. Nig Med Practitioner 1990; 20: 47 – 52.

18. Col N. Fanale JE, Knonholm M. The role of medication non compliance and adverse drug reactions in hospitalization of the elderly. Arch. Int. Med 1990; 150: 841-5.

19. Murray C.J.L. and Lopez A.D. Global mortality, disability and the contribution of risk factors: global burden of disease study. Lancet 1997; 349: 1436-1442.

20. Salako B.L. The relationship between kidney and hypertension: a review. Afr J Med med sci. 2005; 34: 335 – 340.

21. Soyannwo A. O, Gadallah .M, Jamal Hams. et al. Studies of preventive nephrology:

self – urinalysis as a feasible method for early detection of renal damage. Afr J Med med sci 1998; 27: 27 – 34.

22. Brown M.A, Whitworth J.A. Hypertension in human renal disease. J Hypertens 1992;

10:701-712.

23. Klag M.J, Whelton P.K, Randall B.L, Neaton J.D et al. End stage renal disease in African – American and white men. JAMA 1997; 277: 1293 – 1298.

24. Klag M.J, Whelton P.K, Randall B.L et al. Blood pressure and end stage renal disease in men. N Engl J Med 1996; 334:13-18.

25. Iseki K, Ikemiya Y, Fukiyama K. Blood pressure and risk of end – stage renal disease in a screened cohort. Kidney Int 1996; 49 (suppl 55): 569-571.

26. Ritz E, Rambansek M, Hasslacher C. Mann J. Pathogenesis of hypertension in renal disease. Am J Nephrol 1989; 9:85-90.

27. Krolewski A.S, Canessa M, Warran J.H et al. Predisposition to hypertension and susceptibility to renal disease in insulin dependent diabetes mellitus. N Engl J Med.

1988; 318: 140-145.

28. Bergstrom J, Alvestrand A, Bucht H, Gutlerrez A. Progression of chronic renal failure in man is retarded with more frequent clinical follow-ups and better blood pressure control. Clin Nephrol 1986; 25:1-6

29. Samuelsson O, Wilhelmsen L, Elmfeldt D et al. Predictors of cardiovascular morbidity in treated hypertension: results from the primary preventive trial in Goteborg, Sweden. J Hypertens 1985; 3: 167-176.

30 Levey A.S, Coresh J, Greene T, et al. Expressing the MDRD study equation for estimating GFR with IDMS traceable ( Gold Standard ) serum values. J Am Soc Nephrol. 2005; 16: 69A

31 Renal Data system. 2005 annual data report: atlas of end – stage renal disease in the United States. Bethesda, Med: National Institute of Diabetes and Digestive and Kidney Disease. 2005

32 Coresh J, Byrd – Holt D, Astor B.C et al. Chronic kidney disease awareness, prevalence, and trends among U.S adults, 1999 – 2000. J Am Soc Nephrol 2005; 16: 180 -8

33 Kadiri S, Ajayi S.O. Variability in the relationship between serum creatinine and creatinine clearance in hypertensives and normotensives with normal renal function. Afr J Med med Sci. 2000; 29: 93 – 96.

34 Taylor O, Bamgboye E.A. Oyediran A.O.B, Longe O. Serum creatinine and prediction formulae for creatinine clearance. Afr J. Med med sci. 1982; 11: 175 – 181.

35 Adebisi S.A, Adekunle B.A. Etu A.K. Creatinine clearance: alternative approach to traditional 24 – hour urine collection in normal individuals Afr J Med med Sci. 2001;

30: 27-30

36 Ajayi A.A. Estimation of creatinine clearance from serum creatinine: unity of the Cockcroft and Gault equation in Nigerian patients. Eur. J. Clin Pharmacol. 1991; 40:

429 – 431.

37 Sanusi A.A. Akinsola A, Ajayi A.A. Creatinine clearance estimation from serum creatinine values: evaluation and comparison of five prediction formulae in Nigerian patients. Afr J Med med Sc. 2000; 29: 7 – 11

38 Shemash O, Golbetz H, Kriss J.P, Myers B.D. Limitations of creatinine as a filtration marker in glomerulopathic patients. Kidney Int. 1985; 28: 830 -8

39 Levey A.S. Measurement of renal function in chronic renal disease. Kidney Int. 1990;

38: 167 – 84

40 Sjostrom P, Tidman M, Jones I. Determination of the production rate and non renal clearance of cystatin C and estimation of the glomerular filtration rate from the serum concentration of cystatin C in humans. Scand J Clin Lab Invest. 2005;65: 111 – 24 41 Rahman .M, Clinton D, Brown, Joseph, Coresh et al. Antihypertensive and lipid

lowering treatment to prevent heart attack trial. Arch Intern Med. 2004; 164: 969 –976.

42 Cockroft D. W, Gault M.H. Prediction of creatinine clearance from serum creatinine.

Nephron. 1976; 16: 31-4132.

43 Levey A.S, Bosch J.P, Lewis J.B, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation.

Ann Intern Med. 1999; 130: 461 - 70

44. Poggio E.D, Wang X, Greene T, Van Lente F, Hall P. M. Performance of the

modification of Diet in Renal Disease and Cockcroft – Gault equations in the estimation of GFR in health and in chronic kidney disease. J Am Soc Nephrol 2005; 16: 459 – 66 45. Fox C.S, Larson M.G, Leip E.P, et al. Predictors of new onset kidney disease in a

community based population. JAMA. 2004; 291: 844 – 50.

46. Clinical Guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: the evidence report. NIH publication No 98 – 4083. Bethesda MD:

National Institute of Health; 1998.

47. Kambham N, Merkowitz G.S, Valeri A.M, et al. Obesity related glomerulopathy: an emerging epidemic. Kidney Int. 2001; 59: 1498 – 509.

48. Ribstein J, Ducailer G, Mimran A. Combined renal effects of overweight and hypertension. J Hypertens. 19995; 26: 610 – 5

49. Wolf G, Chen S, Han D.C, Ziyadeh F.N. Leptin and renal disease. Am J Kidney Dis.

2002; 39: 1 – 11

50. Abrass C.K. Overview: obesity: what does it have to do with kidney disease ? J Am Soc Nephrol. 2004; 15: 2768 - 72

51.. Ememian S.A, Nielsen M.B, Pedersen J.F. Intraobserver and interobserver variations in sonographic measurements of kidney size in adult volunteers. A comparison of linear measurements and volumetric estimates. Acta Radiol. 1995; 36:399.

52. Emamian S.A, Nielsen MB, Pedersen JF et al. Kidney dimensions at sonography:

correlation with age, sex and habitus in 665 adult volunteers. Am J Roentgeno. 1993;

160: 83.

53. Rodriquez-de-velasquez A, Yoder IC, et al. Imaging the effects of diabetes on the genitor- urinary system. Radiographics 1995; 15: 1051.

54. Okoye I.J, Agwu K.K, Idigo F.U. Normal sonographic renal length in adult South East Nigeria. Afr J Med med sci. 2005; 34: 129 – 131

55. Hricak H, Liet RP. Sonographic determination of renal volume. Radiology 1983;

148:311.

56. Brown W.W, Davis B. B, spry L.A. et al. Ageing and the kidney. Arch Intern Med.

1986; 146: 1790-6.

57. Soyannwo .M.A.O. Studies in preventive nephrology: blood pressure and proteinuria in the population. Afr J Med med Sci. 2003; 32, 81-8

58. Olatunde L.O, Arogundade F.A, Balogun M.O, Akinsola A. Microalbuminuria and its clinical correlates in essential hypertension. Nig J Health Sciences.

2002; 2:25-29.

59. Salako B.L, Atalabi O.M, Amusat A.M, and Adeniji-Sofoluwe. Renal length, packed cell volume and biochemical parameters in subjects with chronic renal failure: a preliminary report. Trop J Nephrol.2006; 1(2): 99- 102

60. Ojo O.E, Soyinka F.O, Okunlola O.O et al. Relationship of kidney volume to measured

61. Irie F, Sairenchi T, Fukasawa N et al. The relationships of proteinuria, serum creatinine, glomerular filtration rate with cardiovascular disease mortality in Japanese general

population. Kidney Int 2006; 69: 1264 – 1271

62. Guidelines committee: 2003 European Society of Hypertension – European Society of cardiology. Guidelines for the management of arterial hypertension. J Hypertens. 2003;

21: 1011 – 1054

63. National Kidney Foundation: clinical practice guidelines for chronic kidney disease:

evaluation, classification, and stratification. Definition and classification of stages of chronic kidney disease. Am J Kidney Dis. 2002; 39(suppl (1)): S46 – S75

64. Segura J, Campo C, Ruilope L. Effect of proteinuria and GFR on cardiovascular risk in essential hypertension. Kidney Int. 2004; 66 (suppl 92): S45 – 9

65. Perry H.M Jr, Miller J.P Fornoff J.R et al. Early predictors of 15 year end stage renal disease in hypertensive patients. J Hypertens 1995; 25: 587 – 94.

66. Ramirez S.P, McClellan W, Port F.K Hsu S.I. Risk factors for proteinuria in a large multi- racial, South East Asian population. J Am Soc. Nephrol 2002; 13: 1907 – 17 67. Lindeman R, Tobin J, Shock N.W. Longitudinal studies on the rate of decline in renal

function with age. J Am. Geriat. Soc. 1985; 33: 278 – 285.

68. McClellan W.M, Ramirez S.P, Jurkovitz C. Screening for chronic kidney disease:

unresolved issues. J Am. Soc Nephrol. 2003; 14: S81 - S87

69. Shulman N.B, Ford C.E, Hall W.D et al. Prognostic value of serum creatinine and effect of treatment of hypertension on renal function. Results from the hypertension detection and follow up program. The hypertension Detection and Follow up group. J Hypertens.

1989; 13 (suppl 5): 180-193

70. Winkelmayer W.C, Owen W.F Jr, Levin R, Avorn J. A propensity analysis of late versus early nephrologists’ referral and mortality on dialysis. J Am Soc Nephrol. 2003;

14: 486 – 492

71. Ruilope L.M, Salvetti A, Jamerson K. et al. Renal function and intensive lowering of blood pressure in hypertensive participants of the hypertension optimal treatment (HOT) study. J Am Soc Nephrol. 2001;12: 218-225

72. Gerstein H.C, Mann J.F, et al. Albuminuria and risk of cardiovascular events, death and

73. Manjunath G, Tighiouart H, Coresh H. et al. Level of kidney function as a risk factor for cardiovascular outcomes in the elderly. Kidney Int. 2003; 63: 1121-1129

Ethical

APPENDIX II

DEMOGRAPHIC INFORMATION ON CORRELATION OF ULTRASOUND FINDINGS WITH RENAL FUNCTION IN HYPERTENSIVE PATIENT WITH PROTEINURIA

A

Name (Initials) ………..

Serial No………

Age ………

Hospital No………

Occupation ………

Sex……….

Tribe………..

Religion ……….

B

Age at Diagnosis : <20yrs 21-30yrs 31-40yrs 41-50yrs 51-60yrs 61-70yrs > 71yrs

Duration of the illness: <1yr 1-4.9yrs 5-9.9yrs >10yrs C

Risk factors for hypertension

Family history of hypertension Yes No

Family history of diabetes Yes No

History of steroid use >3/12 Yes No

Drugs

α methyldopa Yes No

Calcium channel blocker Yes No

Moduretics Yes No

Related documents