Scientific Medicine, Vol 1, No 2 (2009)
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SHAILAJA MOODITHAYA
RESEARCH

PUPILLARY AUTONOMIC ACTIVITY BY ASSESMENT

OF PUPIL CYCLE TIME; REFERENCE VALUE FOR

HEALTHY MEN AND WOMEN

SHAILAJA MOODITHAYA AND SANDHYA T AVADHANY

Shailaja Moodithaya is Assistant Professr, Department of Physiology, K.S. Hegde Medical Academy, Mangalore and Sandhya T Avadhany is Professor & Head, Department of Physiology, St John’s Medical College, Bangalore.

Correspondence: Shailaja, Associate Professor, K.S.Hegde Medical Academy, Nithyananda Nagar, Mangalore, Karnataka, India, Phone: 91-9845516116, E mail: shailaja_moodithaya@rediffmail.com.

Background: Evaluation of pupillary autonomic activity has clinical significance as pupillary autonomic dysfunction occurs earlier to cardiovascular autonomic damage. Pupil cycling is a feature of pupillary reflex arc and measurement of pupil cycle time is an index of Parasympathetic Nervous System (PNS) activity to the iris.

Objectives: The present study aimed at establishing a reference value of pupil cycle time among healthy males and females between the age groups of 6-55 years and determine the influence of ageing and gender on pupillary autonomic activity and also correlating the same with cardiac autonomic activity.

Methods: 252 healthy subjects, between the age group of 6-55 years were studied. Pupillary autonomic activity was assessed by measuring pupil cycle time. Cardiac PNS activity was assessed using spectral analysis of Heart Rate Variability (HRV) and conventional cardiac PNS tests

Results: Mean pupil cycle time for children to middle age ranged from 818 to 958 milliseconds. It increased significantly (P=0.00) with ageing. No significant difference in pupil cycle time was found between males and females. The correlation of various cardiac PNS tests with pupil cycle time were statistically significant and negatively correlated ranging from 0.22 to 0.45.

Conclusion: The study establishes reference value of pupil cycle time for males and females of age group between 6- 55 years. The age related prolongation of pupil cycle time can be explained by diminished PNS to the iris with ageing as seen for cardiovascular system. The significant correlation obtained between pupil cycle time and various parameters of cardiac parasympathetic activity indicates that the measurement of pupil cycle time is as reliable and sensitive method as cardiac PNS tests to assess PNS activity.

Keywords: Pupil cycle time; Reference value; pupillary autonomic activity; cardiac autonomic activity.

Introduction

Quantitative investigation procedures have been developed for evaluation of autonomic activity which include cardiovascular, sudomotor, gastrointestinal, renal, sexual and respiratory functions (Bannister R, 1999). In recent past, the pupil has been recognized as unique organ for the study of autonomic nervous system. It has exclusively autonomic innervations, and is accessible in vivo to direct influences of physical and chemical agents (Cahill M et al. 2001). Stimulation of parasympathetic excites thesphincter pupillae thereby leads to miosis. On the other hand stimulation of sympathetic nerves excites the dilator muscle and leads to mydriasis (Patel AD, 1999). Various methods have been used to measure pupillary functions; autonomic function of the iris can be assessed by the measurement of pupil cycle time (PCT).

 

 

PCT is the time that pupil takes to constrict and dilate once, when stimulated with a slit beam of light (Daniel E and Rao PSS, 1995). Integrity of pupillary reflex pathway is required for this light reflex. Pharmacological studies have demonstrated that PCT is mainly determined by integrity of parasympathetic nerve supply to the iris (Martin CN and Ewing DJ, 1986). Incomplete atropinization produced prolongation of PCT, whereas sympathetic blockade by intraocular application of guanithidine did not produce any effect on PCT. Further, pupil cycling can be elicited even when sympathetic supply to the pupil is cut surgically, indicating the role of sympathetic efferent is uncertain on PCT (Milton JG et al. 1989).

SCIENTIFIC MEDICINE 2009;1(1)

SHAILAJA MOODITHAYA
RESEARCH

PCT has been studied in some instances in conjunction with the tests of cardiovascular system. Two conditions where this has been done are open angle glaucoma (Bojic L et.al., 1993) and diabetic neuropathy (Martin CN and Ewing DJ, 1986). It has been proved that in open angle glaucoma autonomic dysfunction in eye is associated with autonomic dysfunction systemically. It has also shown that with increasing duration of diabetes mellitus, the pupillary autonomic dysfunction occurs before cardiovascular autonomic damage and therefore detection of abnormality of pupillary function is useful in investigating early autonomic neuropathy (Cahill M et al. 2001). However, in normal subjects, PCT is not been studied extensively in relation to age and gender, though both of these factors are confounding variables which influence the autonomic function (Huikuri HV, 1995; Gelber DA 1997). Its study in normal males and females of wide age-range is crucial to define the border between the normality and diseases.

Given the above background, the objectives of the study were:

  1. 1. Establish a reference value of pupil cycle time among healthy males and females between the age groups of 6-55 years.
  2. Determine the influence of ageing and gender on pupillary autonomic activity.
  3. Correlate the pupillary autonomic activity with cardiac autonomic activity in healthy subjects.

Methods: A total of 252 healthy volunteers of which 118 males and 134 females between the age group of 6-55 years were included for the study. Study population was classified into eight groups based on age and gender. i.e. men and women in four age groups ; children (6- 11years), adolescents (12-19 years), Adults (20-40 years), middle aged (41-55years). The participants were recruited from the residents in and around the St.John’s Medical College, Bangalore. Subjects were screened after taking detailed medical history and measuring basal blood pressure. Subjects with hypertension, history of diabetes mellitus, glaucoma and any other ocular diseases those interfere with pupillary parameters were excluded from the study. Subjects receiving medication that influence pupillary functions were also excluded from the study. The study was approved by the Research Ethics Committee of the Institute. Informed consent was obtained from all subjects and in case of children; the parental consent was also obtained.

Informed written consent was obtained from all participants, and the experiment protocol was approved by Ethics Committee of the Institute. All the experiments were conducted in the morning after overnight fasting. Subjects refrained from caffeinated beverages for at least 12 hours prior to the experiment and were also instructed to avoid strenuous physical activity from the previous evening.

All the participants underwent both pupillary and cardiac parasympathetic tests. Pupillary parasympathetic

test was performed at Ophthalmology Department of the Institute. It was assessed by measurement of PCT using Haagstreit-type of slit lamp (Martin CN and Ewing DJ, 1986). PCT was measured with the subject sitting at the slit lamp in a dimly lit room after dark adaptation for 15 minutes. A horizontal, 1-mm wide slit beam of moderate intensity light was focused through the slit lamp, accurately on the lower part of the iris, in a plane perpendicular to it. The beam of light was slowly elevated until it overlapped the margin of the pupil and initiated cycle of constriction and dilatation. The oscillatory cycles were timed for ninety cycles (three 30-cycle runs), and time taken for single cycle is calculated. In the current study, timing device was developed in our laboratory with greater accuracy. The stopwatch used, incorporated an oscillator of 1 KHz, which gave an accuracy of one millisecond. It was connected to a counter on which the number of cycles to be counted could be selected. The counter starts the stopwatch at the beginning and end of the pre-selected number of cycles, which reduces human error to a minimum. The stopwatch was calibrated on an oscilloscope. Count was performed in both right and left eyes. For the purpose of analysis only the longer cycle of the two estimates from each subject was considered (Cahill M et al. 2001). Cardiac parasympathetic tests were carried out in the Physiology laboratory of the Institute. Cardiac PNS activity was assessed using spectral analysis of Heart Rate Variability and conventional cardiac PNS tests which included heart rate responses to different maneuvers. To quantify HR, the analog ECG signal was recorded using lead II, to obtain a QRS complex of sufficient amplitude and stable baseline. ECG signals were conveyed through an A/D converter (Biopac MP 30, Biopac system Inc. Santa Barbara, CA) at a sampling frequency 500Hz to a PC and were analyzed off-line, after visual checking of abnormal ECG. Both HRV and conventional tests were performed to assess cardiac PNS activity. For HRV, HR variation during normal breathing for a period of 5 minutes was recorded, with subject supine, awake and resting. The data so gathered was subjected to spectral analysis.

Following the 5-minute resting period measurements for HRV, subjects underwent conventional cardiac PNS tests. The tests included timed deep breathing, effect of cough, immediate heart rate response to standing, maximum handgrip and Valsalva maneuver. The test results of HR based responses were expressed using heart rate differences (delta HR) for timed deep breathing, cough maneuver, and MHG, while RR interval ratio was used for immediate HR response to standing and Valsalva maneuver (Simonion SX and Herbison 1997; Wei JY, 1983).

Statistics

Statistical analysis was performed with an SPSS package (10.5). Normality of the distribution was assessed with the Kolmogorov Smirnov goodness of fit test. Data are expressed as mean ±SEM with 95% confidence interval. All the variables were compared between age and gender groups using Two-Way ANOVA, with the test for age and gender effects as well as their interaction. Looking for the overlap of the confidence interval, the

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SHAILAJA MOODITHAYA
RESEARCH

study assessed the differences between specific groups. Linear associations between the different PNS tests

were ascertained using Pearson’s correlation. In all the instances null hypothesis was rejected at P<0.05.

 

 

Table 1 - Subject Characteristics
Parameter Children Adolescents Adults Middle-aged

Males

(n=30)

Females

(n=30)

Males

(n=29)

females

(n=37)

Males

(n=30)

Females

(n=40)

Males

(n=29)

Females

(n=27)

Age(Yrs) 9.4 ±0.32

9.4± 0.3 17.0± 0.38 16.4±0.38 29±0.8 30.1± 0.86 48.3±0.6 48.5±0.64
Height (cm) 131 ±1.98 130± 1.9 159± 5.1 154 ± 0.78 166 ±1 156 ±0.8 167 ±3.8 155± 0.78
Weight (kg) 27± 1.2 26.4±1.9 55.5±1.9 49.0± 1.1 59.4±1.3 53.1±0.95 58.9±1.3 56.1±0.9
SBP(mm of Hg) 112± 1.6 108±1.3 114±2.3 109±1.1 116±1.1 111±6.8 120±1.66 118±1.73
DBP(mm of Hg) 74±1.4 74±0.76 76±0.8 75±0.7 78±0.8 76±0.7 84±1.1 81±1.2
RHR(beats/min) 78±1.8 82±1.7 67±1.96 69±1.1 64±1.7 67±1.1 69±1.96 66±1.3
BMI (Kg/m2) 15.5±0.24 15.6±0.22 20.5±0.36 20.5±0.37 21.6±0.33 21.7±0.33 22.1±0.32 23.1±0.3
PAL NA@ NA@ 1.64±0.02 1.59±0.02 1.6±0.02 1.65±0.02 1.65±0.02 1.69±0.02

• Data expressed as mean ± SE
• SBP=Systolic blood pressure (mmof Hg)
• DBP=Diastolic blood pressure(mm of Hg)
• RHR=Resting heart rate (Beats per minute)
• PAL=Physical activity level
• @ Not applicable since standard procedure not

Table 2: Comparison of PCT in males and females of different age groups.
Parameter Children Adolescent Adults Middle-aged Age Gender Age x Gender

Pupil cycle time
(in milliseconds)

Males

 

824±8.4
(807-841)

 

817±13
(790-843)

 

877±13.47
(849-905)

 

958±12.36
(932-983)

     
Females
818±9.2
(805-832)
853±7.6
(837-868)
884±11.1
(862-907)
942±11.43
(910-975)
     
Total 821±5.34
(810-832)
834±7.65
(818-849)
885±10.01*†
(865-905)
950±9.59 *†‡
(931-969)
0.000

0.218 0.113

• Two-way ANOVA was used to observe age and gender differences. Significance was accepted at P< 0.05
• Data expressed as mean SE, and confidence interval
• * Significantly different from children group
• † Significantly different from adolescent age group
• ‡ Significantly different from adult-group
• Age x Gender = Age and gender

SCIENTIFIC MEDICINE 2009;1(1)

SHAILAJA MOODITHAYA
RESEARCH
Table 3: Correlation of various
tests of parasympathetic activity
Parameter PCT
High Frequency absolute power -0.43**
Deep Breathing -0.44**
Valsalva Ratio -0.45**
30:15 -0.22**
Cough -0.38**
Maximum Hand grip -0.33**

• *P-value <0.05
• **P- value<0.01

Results

Table 1 shows the subject characteristics of the study population. Analysis using two-ANOVA has shown that systolic and diastolic blood pressure increased significantly with ageing (P=0.000). Systolic BP and diastolic BP were significantly lower in females than males across all the age groups (P=0.000). Body mass index significantly increased with ageing (P=0.000). However there was a not significant difference in BMI between the genders.

Table 2 shows PCT in different age groups of both males and females. PCT increased significantly (P=0.000) with ageing, since there was no age gender interaction, the effect of age on PCT was analysed using combined values, not independently for males and females. By looking at the confidence interval, effect of age amongst specific groups were compared and revealed that significant difference in PCT were observed from adolescent to adult as well as from adult to middle age. PCT did not show any difference between children and adolescent groups. The analysis also showed that there was no effect of gender, age and gender interaction for PCT.

Table 3 shows the strength of correlation between pupillary and cardiac parasympathetic activity. Correlations of various PNS tests with PCT were statistically significant and negatively correlated ranging from -0.22 to -0.45.

Discussion

The present study attempts to establish the normative data for pupillary parasympathetic activity by measurement of pupil cycle time. In this study, for the first time both cardiac and ocular parasympathetic activity was used to quantify the PNS function in a population of wide age range of both the genders. Age related changes in cardiac autonomic function have been well defined using conventional tests of cardiac autonomic function and spectral analysis of HRV (O’Brien IA et al. 1986; Lipsitz LA, 1990; Picrillo C 1995). Previous study on age related changes in ocular autonomic activity was based on a small population and emphasized on only male subjects (Manor et al.1981). For gender related differences in autonomic modulation, the earlier studies have focused mainly on cardiac autonomic activity and

compared the subjects of specific age groups which were belonging to a narrow age-range (Umetani K et al. 1998; Liao D et al. 1999; Kuo, TBJ 1995).

Therefore this study attempted to cover wider age range of both gender and stratified age wise classification was continuous where subjects were grouped into children, adolescents, adults and middle aged. Further, since nutritional status and the physical activity level are consider to be confounding factors in the measurement of autonomic nerve activity, in this study both these factors were controlled for different study groups.

In this study, it was found that there was a slower reaction time with lengthening of PCT with ageing. The significant increment in PCT observed in this study, between adolescents and adults as well as between adults and middle age group. Data also showed that increase in PCT was not significant between children and adolescents. A relatively small difference in the age range between children and adolescents may have contributed to lack of significant difference between these two study groups. Prolongation of PCT in relation to age observed in this study is in agreement with the results of previous studies (Patel AD 1999; Manor RS et al.1981; Sood AK et al. 1985). Miller et al. observed a significant difference of PCT in subject groups above and below 50 years; however, between 12 and 50 years there was no significant age trend (Miller SD and Thompson HS, 1978). Another study, demonstrated that PCT of 56-65 years age group is significantly prolonged in comparison to younger age group (Sood AK et al. 1985). It has been reported that 80 percent of the subjects in the age group of 10-49 years had PCT, which were less than 800 millisecond. Among the elderly, upper limit of normality was more than 1010 milliseconds (Manor RS et al.1981). It is found that there is a trend towards increase of 2-4 milliseconds per year in PCT (Miller SD and Thompson HS, 1978). Usually for an individual the PCT becomes shorter as pupil size is reduced (Cahill M, 2001). In addition,with ageing, pupil size decreases and therefore a decrease in PCT with age could be expected. However, the age effect found in this study as well as previous studies was an increase in PCT with ageing, which suggests that factors other than pupil size are responsible for the influence of age on PCT. It has been suggested that measurement of PCT is particularly sensitive to dysfunction in parasympathetic efferent limb of the pupillary light reflex arc (Martin CN and Ewing DJ 1986).

The association of pupillary abnormalities with autonomic and peripheral dysfunction in diabetes has been demonstrated previously using pupillographic techniques (Smith SE et al. 1978; Friedman SA, 1967). Earlier, diminished PNS input to the iris was observed by measuring the latency time for pupillary response to a light stimulus (Pfeifer MA 1982). Reduced iris PNS activity associated with ageing could be due to the decreased sensitivity of the Edinger-Westphal nucleus.

The gender related differences in cardiac-autonomic nervous system have been studied earlier (Liao D et al., 1995) .Few studies representing the influence of gender on PCT have shown that there is no sex difference in pupil cycle time (Smith SE et al. 1978; Cahill M, 2001). These reports are based small number of subjects, or restrict their population to certain age category. However, in this study also PCT, a measure of ocular PNS function did not differ between two genders.

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SHAILAJA MOODITHAYA
RESEARCH

Assessment of response of multiple organs on the same study group will provide an index of global activity of the PNS. PCT has been studied in diabetic neuropathy (Martin CN and Ewing DJ 1986) and open angle glaucoma (Bojic L 1993) in conjunction with the tests of cardiovascular system. This study also correlated cardiac and ocular PNS activity in healthy males and females. The significant correlation obtained between PCT and various cardiac PNS tests in this study indicate that measurement of PCT is equally reliable and sensitive method to assess parasympathetic nervous activity. Further, the measurement of PCT can be used as an important tool in the assessment pupillary autonomic modulation, in clinical conditions such as optic neuritis, glaucoma and diabetic retinopathy.

Conclusion

The study establishes reference value of pupil cycle time for males and females of age group between 6-55 years. The age related prolongation of pupil cycle time can be explained by diminished PNS to the iris with ageing as seen for cardiovascular system. The significant correlation obtained between pupil cycle time and various parameters of cardiac parasympathetic activity indicates that the measurement of pupil cycle time is as reliable and sensitive method as cardiac PNS tests to assess PNS activity.

Acknowledgement:

The authors wish to thank Dr. Batttu, Professor of Ophthalmology, Dr. Maruthy, Associate Professor of Physiology of St. John’s Medical College, Bangalore, for their co-operation

References

  1. Mathias CJ, Bannister R, 1999.Investigation of autonomic disorders . In Autonomic failure: A textbook of clinical disorder of autonomic neuropathy. Oxford University press. Oxford, New York. 169-195
  2. Bojic L, Cagalj S, Racic G, Kraljevic KK. 1993. Cardiovascular reflex testing and pupil cycle time in open- angle glaucoma. Ophthalmologica; 206:158-161.
  3. Cahill M, Eustace P, de Jesus V. 2001. Pupillary autonomic denervation with increasing duration of diabetes mellitus. Br J Ophthalmol. Oct;85(10):1225-30.
  4. Daniel E and Rao PSS. 1995. Pupil cycle time in leprosy patients without clinically apparent ocular pathology. Int J Leprosy.63:529-534.
  5. Friedman SA, Feinberg R, Podolar E, Bedell R. 1967. Pupillary abnormalities in diabetic neuropathy. Ann Intel Med.65(5):977-983.
  6. Gelber DA, Pfeifer M, Dawson B, Schumer M. 1997. Cardiovascular autonomic nervous system tests: determination of normative values and effect of confounding variables. J Auto Nerv Syst; 62: 40-44.
  1. Huikuri HV, Koistinen MJ, Yli-Mayry S, Airaksinen KEJ, Seppanen Tikaheimo MJ Rantola AO,Kauma H, Lilja M, Kesaineimi A. 1995. Impaired low - frequency oscillations of heart rate in patients with prior acute myocardial infarction and life-threatening arrhythmias. Am J Cardiol.. 76:56-60.
  2. Kuo, TBJ, Lin T, Yang CCh, Li CL, Chen CF and Chou P. 1999. Effect of ageing on gender differences in neural control of heart rate. Am J Physiol. 277: H 2233-H 2239.
  3. Liao D, Barnes RW, Chambless LF, Simpson RJ, Sorlie P, Heiss G 1995 Age, race, and sex differences in autonomic cardiac function measured by spectral analysis of heart rate variability_The ARIC study. Am J Cardiol. 76:906-912.
  4. Lipsitz L A, Mietus J, Moody J B, Goldberger A L. 1990 Spectral characteristics of heart rate variability before and during postural tilt. Relation to aging and risk of syncope. Circulation. 81:1803-1810.
  5. Martin CN and Ewing DJ. 1986 Pupil cycle time a simple way of measuring an autonomic reflex. J Neurol, Neurosurg and Psy 49 :771-774.
  6. Miller SD, Thompson HS. 1978. Edge light pupil cycle time. British Journal of Ophthalmology 62:495-500.
  7. Milton JG, Longtin A, Beuter A, Mackey MC, Glass L. 1989 Complex dynamics and bifurcation in neurology. J Theoritical Biology 138:129-147.
  8. Manor RS, Yassur Y, Siegal R, Ben-Sira. 1981. The pupil cycle time test: age variation in normal subjects. Br J Ophtholmo; 65: 750-753.
  9. O’Brien IA, O’ Hare P, Corrall RJM. 1986. Heart rate variability in healthy subjects: effect of age and the derivation of normal ranges for tests of autonomic function. Brit Heart J. 55: 348-354.
  10. Patel AD. 1999. Autonomic nervous system and the eye. In hand book of clinical neurology. The autonomic nervous system Part I Ed. Appenzeller O.
  11. Picrillo C, Fimongnari FL, Viola E, Marigliano V. 1995 Age adjusted normal confidence intervals for heart rate variability in healthy subjects during head- up tilt. Int J cardiol. 50:117-124.
  12. Pfeifer MA. Cook D, Brodsky J, Tice D, Parrish D, Reenan A 1982. Quantitative evaluation of sympathetic and parasympathetic control of iris function. Diabetes Care 5:518-528.
  13. Sood AK, Mithal S, Elhence A, Maini A. 1985. Pupil cycle time. J. Ophthalmol. 33: 41-43.
  14. Smith SE, Smith SA, Brown PM Fox C, Sonksen. 1978. Pupillary signs in diabetic autonomic neuropathy. BMJ. 2:92-927.
  15. Simonion SX and Herbison AE. 1997. Differential expression of oestrogen receptors and nueropeptide Y in brain stem A1 and A2 and noradrenaline neurons. Nueroscience. 76:515- 529.
  16. Umetani K Singer DH McCraty R, Atkinson M 1998 Twenty-four hour time domain heart rate variability and heart rate: Relation to age and gender over nine decades J Am Coll Cardiol. 31:593-601.
  17. Wei JY Rowe JW Kestenbaum, Ben-Haim S. 1983 Post-cough heart rate response: influence of age, sex and basal blood pressure Am J Physiol. 245:R18-R24.

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